literature review example topics

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120 Fresh and Thought-Provoking Topics for Literature Reviews in Different Disciplines

A literature review is an account of the scholarly works published on a topic. It is different from an annotated bibliography – and far more interesting at that. Instead of being just a list of summaries, a literature review synthesizes the information from all available sources in an overall relationship to your guiding concept. This may be the problem you are discussing, a statement you are arguing, a theory you are verifying, etc.

The goals of a literature review may vary:

• giving a historical overview of the research in the field
• summarizing the existing state of the topic
• finding a problem or a gap in the research field
• developing a new theory, etc.

That is why good literature review topics are often formulated as research questions. This type of paper is not an easy writing. You will need to parse immense volumes of information, synthesize and summarize coherently. You also need to devote plenty of time to reading.

This post contains a list of literature review topics suggested for various subjects. However, when choosing the most fitting one to dig into, ask yourself, what are the passions that you can apply to this research? This assignment will take a while, so you will need more than just a good study discipline to soldier on. A bit of enthusiasm and intrinsic motivation will get you much farther.

Literature Review Topics Examples on English and World Literature

Some of the suggestions in this post are linked to literature review examples in our free database. By clicking on a title, you get to a corresponding sample page, where you can read the entire text. If the topic you like isn't linked, but you would like to read an example, you can order it. We will arrange the most qualified paper writer to prepare it for you exclusively.

Ready? Let's start with topics for literature review papers on English and World Literature.

• Phoenix as a symbol for endurance in a worn path
• The novel Intuition by Allegra Goodman
• Nathaniel Hawthorne's The Birthmark through Girard's Lens
• Ender's Game by an Orson Scott Card
• Depiction of freedom and happiness in Brave New World
• Feminism and Post-Colonialism in Margaret Atwood's Oryx and Crake and Suzanne Collins's The Hunger Games
• Rationality, logic, and mathematics in the novel The Curious Incident Of The Dog In The Night-Time
• Victims of their time as a character type in the World literature
• The last days of Judas Iscariot : a play by Stephen Adly Guirgis
• The use of symbolism in Kafka's prose
• Naturalism in American literature
• Grotesque and Sublime in the prose of Edgar Allan Poe

Lit Review Topic Ideas on Science and Technology

Next are some literature review topic ideas on science and technology.

• Electronic library and effects of its implementation
• Benjamin Franklin: scientist and inventor
• Virtual Reality, science fiction, and society today
• Science, Technology, and Society as a field of knowledge
• Frederick Winslow Taylor and the principles of scientific management
• What is the future of work
• Concepts of science and technology
• The Abolition of Man by C.S. Lewis and influence of technological advancement on man and nature
• Types of machine learning
• Internet of Things and biometrics: implications, benefits, threats
• Emotional intelligence and natural language processing
• SmartCity projects that have already been implemented and their lessons

As the field is vast, we can barely scratch the surface with these suggestions. To help you with brainstorming, here are a few tips on how to choose good topics for a literature review yourself:

• Make sure the topic ties nicely with class requirements as well as your interests
• Do some preliminary research to see if there is enough literature on your topic
• Scale up if the information is scarce or down if there are too many sources to handle
• Use sources recommended for reading in the class materials
• Supplement the list with only trustworthy scholarly sources

Follow these guidelines, and you are on a path to some great ideas!

Psychology Literature Review Topics

When brainstorming topics on psychology, don't forget about the subdisciplines: biopsychology, social, educational, organizational, etc. If the suggestions below won't be enough, try looking for inspiration in Biology, Sociology, Education, or Business. The most exciting topics are often at the intersection of different areas of knowledge!

• Tricyclic antidepressants vs. Selective Serotonin Reuptake Inhibitors (SSRIs) in treatment of depression
• Stress, its causes, effects, and coping strategies
• The family system and psychology
• Tibetan compassion practices: working with terror, trauma, and transcendence
• Behaviorism psychology
• Culture and psychopathology
• Correlation between diet and cognitive functions in primary school students
• The evolutionary role of phobias and intrusive thoughts
• Popular psychology and its implications
• PTSD in mass disasters survivors: immediate relief and long-term assistance
• Cults and vulnerable populations
• False memories and gaslighting

Nursing Literature Review Topics

Nursing lit review topics are probably the most diverse in scale, as you can see from the examples below. They can describe a larger issue or a concrete solution applied to a narrowly defined problem. Following this principle, you can modify our lit review topics suggestions zooming out or in on the subject material.

• Legalization of medical marijuana and its effects on the youth
• Health effects of fiber: research findings
• Achieving higher levels of education and training for nurses
• Organic foods and cardiovascular disease
• The importance of Central Venous Line (CVL) and Central Venous Access Devices (CVAD)
• What effects do different types of music have on humans and their mental health?
• The use of laboratory-grown organs for transplantation
• The role of xylitol in alleviating dry mouth
• The detection of tar and nicotine content of cigarette smoke extract using HPLC
• Rheumatoid arthritis: etiology, diagnosis, vulnerable populations
• Mobility aids for the elderly and quality of life
• The role of play in the recuperation of hospitalized children

Education Literature Review Topics

To get more ideas from these literature review topic examples, try isolating an issue and put it in another educational context. For instance, student motivation in primary school vs. middle school or sleep deprivation in high school vs. college. This should give you plenty of material for brainstorming.

• Simulation education for crisis prevention program
• A critical consideration of the new pedagogy in its relation to modern science
• Lack of students interest in studying science
• Discovery-based learning and student-centered learning with a focus on mathematics at a high school level
• The adverse effects of sleep deprivation on academic performance: a college student's struggle
• Gender bias in special education programs
• Higher education for senior citizens: challenges and best practices
• Significant challenges of the teaching profession in the US
• Factors contributing to international student mobility
• Student motivation in private vs. state colleges
• Benefits and challenges of homeschooling for students and families
• Correlation between workload, stress levels, and self-esteem in middle-school students

Sociology Literature Review Topics

The best advice on finding current sociology topics is to look at the challenges your community faces. Become the first one to notice and address these issues!

• Are video games affecting our current and future students ?
• Ways to prevent social media bullying
• Spanking of children in the USA
• The relation of poverty and exposure to crime in adolescent men
• Transgender discrimination
• The link between science and Utopia in Utopia and the New Atlantis
• Effectiveness of group therapy in social work
• Peer pressure, depression, and causes of suicide in the adolescents
• Religious separatism social issues connected with it
• Causes and effects of domestic abuse
• Physical appearance and social status
• Race, nationality, ethnicity, and identity

Political Science Literature Review Topics

Political science is one of the more formal disciplines on this list. Being heavy with abstract concepts, it doesn't lend itself easily to casual brainstorming. Well, at least start with these:

• Electoral College, its functions, and role in public life
• Why American and the British IPE are so different
• Contingency planning
• Effects of political gerrymandering
• American political parties
• The present urban regimes in Canada
• International policies and domestic regulations: precedence and clashes
• Tolerance as a political virtue
• Grassroots activism and its impact on state and federal law
• National security and constitutional freedoms
• Historical analysis of anarchism
• The effect of social media on civic engagement

Criminal Justice Literature Review Topics

Criminal justice is a complex field. It's ripe with variance and challenges – which is good for topic ideas at least. And you have state, federal, and international levels to add more variables.

• Juvenile justice and the Missouri model
• Car-related crime in the USA
• An analysis of the impact of sexual harassment/sexual assault in the military
• The process of the arbitration without the involvement of national courts
• Serial killers and profiling
• Policing and criminal justice systems
• Psychological effects of cyberbullying on adolescents
• Sexual human trafficking from the Central America region
• Human sex-trafficking: the Canadian perspective
• Gender and racial bias in criminal investigations
• Possible ethical and legal dilemmas of using sniffer dogs
• Sting operations vs. entrapment: ethics and regulations

Chemistry and Biology Literature Review Topics

Biology is fascinating. It has something for everyone: from biochemistry and genetics to ecosystems and nature preservation. Here are some suggestions to guide your choice:

• Brain size correlation
• Haruko Obokata, ethics of stem cells research, and scientific misconduct
• Genomic and molecular genetics major and its perspectives for students
• DNA use in mass disasters
• DNA detection from dried blood spots
• Captive breeding of marine mammals: pros and cons
• The Dynamics of ER and mitochondria
• Biomarkers in gastric cancer treatment
• The chemistry behind gene splicing
• Carcinogens and hyper-processed foods
• Primates and monkeys as potential sources of novel zoonotic infections
• Natural gases, ecosystems, and the global warming

Business and Marketing Literature Review Topics

Finally, here are some business and marketing topics as well. These disciplines might be relatively new, but they are among the most dynamic and information-rich – which means great fun to explore.

• Effectiveness of neuromarketing in comparison to traditional marketing methods
• Green supply chain management
• Effectiveness of e-marketing to non-profit making organizations
• The value of information
• Shareholder engagement/activism and corporate performance
• The relationship between ethics, stress, and productivity in the workplace
• The role of integrity in business
• Client confidentiality and its role in a prosperous business
• Businesses, their impact on the community, and social responsibility
• Startup fundraising stages
• Innovative marketing in the age of instant feedback: risks and possibilities
• Strategies for staff motivation

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105 Literature Review Topics + How-to Guide [2024]

A literature review is a variant of curtsy in scientific circles. It presents your acknowledgment that you are not the first to tackle the issue. Your predecessors have made progress in answering your research question, and you plan to start from the point they finished.

This article features examples of literature review topics on multiple knowledge areas. Additionally, you will find exhaustive disambiguation of all the types of a literature review, as well as its purposes, definition, outline, and formatting.

• 🔝 Top 15 Topics
• ✍️ Writing Tips
• Political Science
• Criminal Justice

🔗 References

🔝 top 15 literature review topics.

• What does the science say about extraterrestrial life?
• Redesigning organisms in synthetic biology: Where are we at now?
• Equality of human rights at the international level.
• Why do genes happen to be active or inactive?
• Legalizing physician-assisted suicide.
• Can an adult person change their native language?
• The most efficient study programs.
• The ethics of using surveillance cameras.
• The effect of reading fiction on your brain.
• British imperialism in India.
• What is kindness: A philosophical approach.
• Modern technologies can sift out fake news.
• Multiculturalism: A romantic myth or today’s reality?
• The demographics of liberal worldview in the US.
• Chronic fatigue: Literature review and hypotheses.

✍️ Literature Review Writing Tips

Speaking of a literature review , the definition is too broad to be used as writing guidance. It is an overview of credible materials on a particular research question. A literature review usually becomes chapter 1 in dissertations and theses , allowing to explore the current knowledge on the topic. It evaluates academic and professional articles, journal publications, books, and web-based resources.

A literature review is an indispensable part of a research paper. It serves many purposes, some of which are not evident.

What Is the Purpose of a Literature Review?

• To draw the background context;
• To compare your results with previous research;
• To justify your research methods;
• To frame research gaps and show the scientific novelty of your project;
• To explain the social value of your work;
• To demonstrate your knowledge of the referenced literature;
• To train your analytical thinking.

Types of Literature Review

Below you’ll find the 6 types of literature reviews.

Systematic Review

A systematic literature review is a most comprehensive and data-oriented type. It defines the timeframe of the selected literature and is subdivided into two categories:

• Meta-analysis ( deductive research through standardized statistical procedures)
• Meta-synthesis (inductive study by non-statistical qualitative methods)

Narrative Review

It is also called a traditional or critical literature review. The purpose is to summarize the available material, critique it, and identify the gaps and inconsistencies. This type works well for almost any research question, provided it is sufficiently focused and limited in time or subject matter.

Scoping Review

As the name implies, it estimates the scope of available literature on a literature review topic. Unlike a systematic literature review, which aims to find the most specific research question, this type looks for the most general one. It answers the question of what else can be researched in the field.

Theoretical Review

A theoretical literature review explores the pool of theories that have so far accumulated on a concept. It lists the existing ideas, their relationships, and gaps. The purpose is to develop hypotheses to be tested in the experimental section.

Argumentative Review

This type provides the most selective literature review to prove or refute an argument already established in the research literature. However, this is also the most biased review among all types.

Integrative Review

This literature review integrates, synthesizes, and critiques the available secondary data to develop new research frameworks and perspectives.

Systematic Review vs. Literature Review vs. Annotated Bibliography

Literature Review Outline

How long should a literature review be? It depends on the assignment requirements and your outline.

A literature review is often used as a part of a more general research paper. In such a case, you can limit yourself to the standard introduction –main body – conclusion formula.

In all the other situations, use the following literature review outline.

• Introduction Trace the scope and highlight the importance of your review. Why did you choose the given topic or research question? How does it contribute to the previous study?
• Methodology We have listed the types of literature review above. Depending on your purposes, select one and explain why your choice is the best. You can also specify which logic you used while choosing the sources for your review.
• Discussion It is the central part of the text which compares, contrasts, and explains the relationships between various ideas you found in the bibliography items.
• Conclusion Are you satisfied with the result of your work? How will it help further research? Which gaps have you spotted, and which hypothesis could you generate?
• List of references As in any research paper, this is an indispensable part of your literature review. Be sure to follow the format requirements as provided below.

Literature Review Format

All citation styles require you to indicate the author’s name, book title, publication year, number of pages, and volume or issue number. This data is available in any printed edition, as publishers use it to identify their products.

It may sound simple until you discover that each citation style has a multi-page list of nuanced details specific to this format and inapplicable to any other.

Browse the guides for each of the most popular types below.

APA style is a format for scholarly documents. It is particularly popular in the fields of social and behavioral sciences. APA is well-known for its simplicity in source references. Thus, a vast majority of American universities and colleges prefer this format.

MLA style manual is an abridged version of the MLA Handbook published by the Modern Language Association. It was created for students to assist in their research aspirations. Its 8 th edition is addressed to secondary-school and undergraduate university and college teachers and students. The style is popular in humanities (modern languages, literature, cultural studies, and related disciplines).

Chicago style (also called CMS or CMOS) is a style guide for American English. The University of Chicago Press first published it in 1906. Since then, it has had 17 editions and has become one of the most popular citation styles in the US. The guide instructs on editorial practice, grammar, document preparation, formatting, and even the use of the singular “they.”

💡 Literature Review Topics

Literature review topics in education.

• How can we make classrooms more inclusive ?
• Flipped classroom approach.
• Waldorf schools and their concept.
• How do ADHD symptoms affect a student’s learning abilities?
• Educational leadership.
• Methods of tracking the performance of schoolchildren.
• How can token economy diminish off-task behavior in students with autism?
• Resegregation in US schools.
• Is bilingual education realizable in contemporary schools?
• Growing violence incidents in educational institutions.

Political Science Literature Review Topics

• Gender cosmopolitanism in Sweden .
• Security policy is based on political ideology .
• The emotional effect of populism .
• The theory and classification of political speeches.
• Global measures in COVID-19 response.
• The international politics of the Arab world.
• How do we select our leaders ?
• Officials in politics: Emotional labor .
• Relational peace between countries.
• The invisible force holding countries together.

Criminal Justice Literature Review Topics

• The problematic issues of prosecution and legal enforcement in Eastern Europe.
• Track the evolution of international criminal justice practices.
• Crime prevention methods.
• The evolution of criminology as a social science.
• The cycle of domestic violence : Theory and statistics.
• The patterns in child abuse perpetrators.
• Randomized experimental designs in criminology .
• Current measures to stop human trafficking in the US.
• How should we punish environmental crimes?
• Terrorism : Approaches to its definitions.

Sociology Literature Review Topics

• Does coded language help us fight racial inequality ?
• Workplace bullying.
• International conflicts in terms of social representation theory.
• Gender and sexual activity.
• Is our society liberal or conservative ?
• Single African American parents.
• Racial salary gap in the US.
• Substance abuse and health care costs for employers.
• Does federal aid succeed at fighting urban poverty?
• How does hate speech spur desensitization?

Nursing Literature Review Topics

• Practice in the field of healthcare.
• Evidence-based nursing practice.
• Traumatic brain injury.
• Alzheimer’s disease.
• Pressure ulcers study.
• Post-operative readmission rates.
• Nursing ratios and nosocomial infections.
• Patient fall prevention study.
• Emergency room wait time.
• Electronic health records.

Psychology Literature Review Topics

• Parents’ experiences of caring for a child with ASD  
• The long-term consequences of child abuse 
• The neurology of depression. 
• Explore the psychological effects of loud noise. 
• Why is it so hard to accept what contradicts our beliefs? 
• The psychological mechanisms of compulsive eating. 
• Why are some people more prone to discrimination and prejudice? 
• Self-protection against grief . 
• Non-verbal communication rates in different cultures. 
• Love : Chemistry or feeling? 

Biology Literature Review Topics

• Camouflage in plants.
• Color differences in male and female bird species.
• Acceptability of genetic engineering.
• Natural reforestation: Too long to wait.
• Why are domestic plants weaker than wild ones?
• Hepcidin: importance, production, regulation.
• How can we edit DNA sequences ?
• Which anti- COVID vaccines are the most effective and why?
• Cancer : An umbrella term for many diseases.
• Species that are important to our ecology.

Easy Literature Review Topics

• Sustainable agriculture : Our future reality.
• Vegetarianism.
• The scientific background behind music therapy .
• Stono revolt.
• The latest findings in stopping brain aging.
• Articles on cyber security of young children.
• Data-driven personalization : Prospects and achievements.
• Importance of the literature review in research.
• Critical literature review of digital signature.
• Reviewing quantitative academic literature and data.

❓ Literature Review Topics FAQ

❓ what is discussed in literature review.

A literature review discusses the texts that are the most relevant to your research question. It summarizes, compares, evaluates, and critiques the available literature to find the points of intersection and blind spots. As a result, you will develop a specific topic for further research or pose a hypothesis.

❓ What are the 3 parts of literature review?

The three parts of this academic genre are the same as those of any other research paper. The introduction explores the background and importance of the topic. The main body analyzes the selected texts. It may also contain a methodology section that explains why you chose such or another literary review type. The conclusion outlines the perspectives of your research.

❓ What are the four stages of literature review?

• Formulating the problem (which topic is under study and what are its constituent parts?);
• Searching the literature (making up the preliminary bibliography list to be described in the literature review);
• Evaluating the data (which sources are the most significant in our understanding of the topic?);
• Analyzing and interpreting the essential findings.
• Literature Reviews – UNC Writing Center
• Learn how to write a review of literature
• Writing a Literature Review // Purdue Writing Lab
• Types of Literature Reviews – Systematic Reviews
• How to Conduct a Literature Review
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15 Literature Review Examples

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Dr. Chris Drew is the founder of the Helpful Professor. He holds a PhD in education and has published over 20 articles in scholarly journals. He is the former editor of the Journal of Learning Development in Higher Education. [Image Descriptor: Photo of Chris]

Learn about our Editorial Process

Literature reviews are a necessary step in a research process and often required when writing your research proposal . They involve gathering, analyzing, and evaluating existing knowledge about a topic in order to find gaps in the literature where future studies will be needed.

Ideally, once you have completed your literature review, you will be able to identify how your research project can build upon and extend existing knowledge in your area of study.

Generally, for my undergraduate research students, I recommend a narrative review, where themes can be generated in order for the students to develop sufficient understanding of the topic so they can build upon the themes using unique methods or novel research questions.

If you’re in the process of writing a literature review, I have developed a literature review template for you to use – it’s a huge time-saver and walks you through how to write a literature review step-by-step:

Get your time-saving templates here to write your own literature review.

Literature Review Examples

For the following types of literature review, I present an explanation and overview of the type, followed by links to some real-life literature reviews on the topics.

1. Narrative Review Examples

Also known as a traditional literature review, the narrative review provides a broad overview of the studies done on a particular topic.

It often includes both qualitative and quantitative studies and may cover a wide range of years.

The narrative review’s purpose is to identify commonalities, gaps, and contradictions in the literature .

I recommend to my students that they should gather their studies together, take notes on each study, then try to group them by themes that form the basis for the review (see my step-by-step instructions at the end of the article).

Example Study

Title: Communication in healthcare: a narrative review of the literature and practical recommendations

Citation: Vermeir, P., Vandijck, D., Degroote, S., Peleman, R., Verhaeghe, R., Mortier, E., … & Vogelaers, D. (2015). Communication in healthcare: a narrative review of the literature and practical recommendations. International journal of clinical practice , 69 (11), 1257-1267.

Source: https://onlinelibrary.wiley.com/doi/pdf/10.1111/ijcp.12686  

Overview: This narrative review analyzed themes emerging from 69 articles about communication in healthcare contexts. Five key themes were found in the literature: poor communication can lead to various negative outcomes, discontinuity of care, compromise of patient safety, patient dissatisfaction, and inefficient use of resources. After presenting the key themes, the authors recommend that practitioners need to approach healthcare communication in a more structured way, such as by ensuring there is a clear understanding of who is in charge of ensuring effective communication in clinical settings.

Other Examples

• Burnout in United States Healthcare Professionals: A Narrative Review (Reith, 2018) – read here
• Examining the Presence, Consequences, and Reduction of Implicit Bias in Health Care: A Narrative Review (Zestcott, Blair & Stone, 2016) – read here
• A Narrative Review of School-Based Physical Activity for Enhancing Cognition and Learning (Mavilidi et al., 2018) – read here
• A narrative review on burnout experienced by medical students and residents (Dyrbye & Shanafelt, 2015) – read here

2. Systematic Review Examples

This type of literature review is more structured and rigorous than a narrative review. It involves a detailed and comprehensive plan and search strategy derived from a set of specified research questions.

The key way you’d know a systematic review compared to a narrative review is in the methodology: the systematic review will likely have a very clear criteria for how the studies were collected, and clear explanations of exclusion/inclusion criteria. 

The goal is to gather the maximum amount of valid literature on the topic, filter out invalid or low-quality reviews, and minimize bias. Ideally, this will provide more reliable findings, leading to higher-quality conclusions and recommendations for further research.

You may note from the examples below that the ‘method’ sections in systematic reviews tend to be much more explicit, often noting rigid inclusion/exclusion criteria and exact keywords used in searches.

Title: The importance of food naturalness for consumers: Results of a systematic review  

Citation: Roman, S., Sánchez-Siles, L. M., & Siegrist, M. (2017). The importance of food naturalness for consumers: Results of a systematic review. Trends in food science & technology , 67 , 44-57.

Source: https://www.sciencedirect.com/science/article/pii/S092422441730122X  

Overview: This systematic review included 72 studies of food naturalness to explore trends in the literature about its importance for consumers. Keywords used in the data search included: food, naturalness, natural content, and natural ingredients. Studies were included if they examined consumers’ preference for food naturalness and contained empirical data. The authors found that the literature lacks clarity about how naturalness is defined and measured, but also found that food consumption is significantly influenced by perceived naturalness of goods.

• A systematic review of research on online teaching and learning from 2009 to 2018 (Martin, Sun & Westine, 2020) – read here
• Where Is Current Research on Blockchain Technology? (Yli-Huumo et al., 2016) – read here
• Universities—industry collaboration: A systematic review (Ankrah & Al-Tabbaa, 2015) – read here
• Internet of Things Applications: A Systematic Review (Asghari, Rahmani & Javadi, 2019) – read here

3. Meta-analysis

This is a type of systematic review that uses statistical methods to combine and summarize the results of several studies.

Due to its robust methodology, a meta-analysis is often considered the ‘gold standard’ of secondary research , as it provides a more precise estimate of a treatment effect than any individual study contributing to the pooled analysis.

Furthermore, by aggregating data from a range of studies, a meta-analysis can identify patterns, disagreements, or other interesting relationships that may have been hidden in individual studies.

This helps to enhance the generalizability of findings, making the conclusions drawn from a meta-analysis particularly powerful and informative for policy and practice.

Title: Cholesterol and Alzheimer’s Disease Risk: A Meta-Meta-Analysis

Citation: Sáiz-Vazquez, O., Puente-Martínez, A., Ubillos-Landa, S., Pacheco-Bonrostro, J., & Santabárbara, J. (2020). Cholesterol and Alzheimer’s disease risk: a meta-meta-analysis. Brain sciences, 10(6), 386.

Source: https://doi.org/10.3390/brainsci10060386  

O verview: This study examines the relationship between cholesterol and Alzheimer’s disease (AD). Researchers conducted a systematic search of meta-analyses and reviewed several databases, collecting 100 primary studies and five meta-analyses to analyze the connection between cholesterol and Alzheimer’s disease. They find that the literature compellingly demonstrates that low-density lipoprotein cholesterol (LDL-C) levels significantly influence the development of Alzheimer’s disease.

• The power of feedback revisited: A meta-analysis of educational feedback research (Wisniewski, Zierer & Hattie, 2020) – read here
• How Much Does Education Improve Intelligence? A Meta-Analysis (Ritchie & Tucker-Drob, 2018) – read here
• A meta-analysis of factors related to recycling (Geiger et al., 2019) – read here
• Stress management interventions for police officers and recruits (Patterson, Chung & Swan, 2014) – read here

Other Types of Reviews

• Scoping Review: This type of review is used to map the key concepts underpinning a research area and the main sources and types of evidence available. It can be undertaken as stand-alone projects in their own right, or as a precursor to a systematic review.
• Rapid Review: This type of review accelerates the systematic review process in order to produce information in a timely manner. This is achieved by simplifying or omitting stages of the systematic review process.
• Integrative Review: This review method is more inclusive than others, allowing for the simultaneous inclusion of experimental and non-experimental research. The goal is to more comprehensively understand a particular phenomenon.
• Critical Review: This is similar to a narrative review but requires a robust understanding of both the subject and the existing literature. In a critical review, the reviewer not only summarizes the existing literature, but also evaluates its strengths and weaknesses. This is common in the social sciences and humanities .
• State-of-the-Art Review: This considers the current level of advancement in a field or topic and makes recommendations for future research directions. This type of review is common in technological and scientific fields but can be applied to any discipline.

How to Write a Narrative Review (Tips for Undergrad Students)

Most undergraduate students conducting a capstone research project will be writing narrative reviews. Below is a five-step process for conducting a simple review of the literature for your project.

• Search for Relevant Literature: Use scholarly databases related to your field of study, provided by your university library, along with appropriate search terms to identify key scholarly articles that have been published on your topic.
• Evaluate and Select Sources: Filter the source list by selecting studies that are directly relevant and of sufficient quality, considering factors like credibility , objectivity, accuracy, and validity.
• Analyze and Synthesize: Review each source and summarize the main arguments  in one paragraph (or more, for postgrad). Keep these summaries in a table.
• Identify Themes: With all studies summarized, group studies that share common themes, such as studies that have similar findings or methodologies.
• Write the Review: Write your review based upon the themes or subtopics you have identified. Give a thorough overview of each theme, integrating source data, and conclude with a summary of the current state of knowledge then suggestions for future research based upon your evaluation of what is lacking in the literature.

Literature reviews don’t have to be as scary as they seem. Yes, they are difficult and require a strong degree of comprehension of academic studies. But it can be feasibly done through following a structured approach to data collection and analysis. With my undergraduate research students (who tend to conduct small-scale qualitative studies ), I encourage them to conduct a narrative literature review whereby they can identify key themes in the literature. Within each theme, students can critique key studies and their strengths and limitations , in order to get a lay of the land and come to a point where they can identify ways to contribute new insights to the existing academic conversation on their topic.

Ankrah, S., & Omar, A. T. (2015). Universities–industry collaboration: A systematic review. Scandinavian Journal of Management, 31(3), 387-408.

Asghari, P., Rahmani, A. M., & Javadi, H. H. S. (2019). Internet of Things applications: A systematic review. Computer Networks , 148 , 241-261.

Dyrbye, L., & Shanafelt, T. (2016). A narrative review on burnout experienced by medical students and residents. Medical education , 50 (1), 132-149.

Geiger, J. L., Steg, L., Van Der Werff, E., & Ünal, A. B. (2019). A meta-analysis of factors related to recycling. Journal of environmental psychology , 64 , 78-97.

Martin, F., Sun, T., & Westine, C. D. (2020). A systematic review of research on online teaching and learning from 2009 to 2018. Computers & education , 159 , 104009.

Mavilidi, M. F., Ruiter, M., Schmidt, M., Okely, A. D., Loyens, S., Chandler, P., & Paas, F. (2018). A narrative review of school-based physical activity for enhancing cognition and learning: The importance of relevancy and integration. Frontiers in psychology , 2079.

Patterson, G. T., Chung, I. W., & Swan, P. W. (2014). Stress management interventions for police officers and recruits: A meta-analysis. Journal of experimental criminology , 10 , 487-513.

Reith, T. P. (2018). Burnout in United States healthcare professionals: a narrative review. Cureus , 10 (12).

Ritchie, S. J., & Tucker-Drob, E. M. (2018). How much does education improve intelligence? A meta-analysis. Psychological science , 29 (8), 1358-1369.

Roman, S., Sánchez-Siles, L. M., & Siegrist, M. (2017). The importance of food naturalness for consumers: Results of a systematic review. Trends in food science & technology , 67 , 44-57.

Sáiz-Vazquez, O., Puente-Martínez, A., Ubillos-Landa, S., Pacheco-Bonrostro, J., & Santabárbara, J. (2020). Cholesterol and Alzheimer’s disease risk: a meta-meta-analysis. Brain sciences, 10(6), 386.

Vermeir, P., Vandijck, D., Degroote, S., Peleman, R., Verhaeghe, R., Mortier, E., … & Vogelaers, D. (2015). Communication in healthcare: a narrative review of the literature and practical recommendations. International journal of clinical practice , 69 (11), 1257-1267.

Wisniewski, B., Zierer, K., & Hattie, J. (2020). The power of feedback revisited: A meta-analysis of educational feedback research. Frontiers in Psychology , 10 , 3087.

Yli-Huumo, J., Ko, D., Choi, S., Park, S., & Smolander, K. (2016). Where is current research on blockchain technology?—a systematic review. PloS one , 11 (10), e0163477.

Zestcott, C. A., Blair, I. V., & Stone, J. (2016). Examining the presence, consequences, and reduction of implicit bias in health care: a narrative review. Group Processes & Intergroup Relations , 19 (4), 528-542

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What is a Literature Review? How to Write It (with Examples)

A literature review is a critical analysis and synthesis of existing research on a particular topic. It provides an overview of the current state of knowledge, identifies gaps, and highlights key findings in the literature. 1 The purpose of a literature review is to situate your own research within the context of existing scholarship, demonstrating your understanding of the topic and showing how your work contributes to the ongoing conversation in the field. Learning how to write a literature review is a critical tool for successful research. Your ability to summarize and synthesize prior research pertaining to a certain topic demonstrates your grasp on the topic of study, and assists in the learning process. 

Table of Contents

• What is the purpose of literature review? 
• a. Habitat Loss and Species Extinction: 
• b. Range Shifts and Phenological Changes: 
• c. Ocean Acidification and Coral Reefs: 
• d. Adaptive Strategies and Conservation Efforts: 

How to write a good literature review 

• Choose a Topic and Define the Research Question: 
• Decide on the Scope of Your Review: 
• Select Databases for Searches: 
• Conduct Searches and Keep Track: 
• Review the Literature: 
• Organize and Write Your Literature Review: 
• How to write a literature review faster with Paperpal? 
• Frequently asked questions 

What is a literature review?

A well-conducted literature review demonstrates the researcher’s familiarity with the existing literature, establishes the context for their own research, and contributes to scholarly conversations on the topic. One of the purposes of a literature review is also to help researchers avoid duplicating previous work and ensure that their research is informed by and builds upon the existing body of knowledge.

What is the purpose of literature review?

A literature review serves several important purposes within academic and research contexts. Here are some key objectives and functions of a literature review: 2  

1. Contextualizing the Research Problem: The literature review provides a background and context for the research problem under investigation. It helps to situate the study within the existing body of knowledge. 

2. Identifying Gaps in Knowledge: By identifying gaps, contradictions, or areas requiring further research, the researcher can shape the research question and justify the significance of the study. This is crucial for ensuring that the new research contributes something novel to the field. 

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3. Understanding Theoretical and Conceptual Frameworks: Literature reviews help researchers gain an understanding of the theoretical and conceptual frameworks used in previous studies. This aids in the development of a theoretical framework for the current research. 

4. Providing Methodological Insights: Another purpose of literature reviews is that it allows researchers to learn about the methodologies employed in previous studies. This can help in choosing appropriate research methods for the current study and avoiding pitfalls that others may have encountered. 

5. Establishing Credibility: A well-conducted literature review demonstrates the researcher’s familiarity with existing scholarship, establishing their credibility and expertise in the field. It also helps in building a solid foundation for the new research. 

6. Informing Hypotheses or Research Questions: The literature review guides the formulation of hypotheses or research questions by highlighting relevant findings and areas of uncertainty in existing literature. 

Literature review example

Let’s delve deeper with a literature review example: Let’s say your literature review is about the impact of climate change on biodiversity. You might format your literature review into sections such as the effects of climate change on habitat loss and species extinction, phenological changes, and marine biodiversity. Each section would then summarize and analyze relevant studies in those areas, highlighting key findings and identifying gaps in the research. The review would conclude by emphasizing the need for further research on specific aspects of the relationship between climate change and biodiversity. The following literature review template provides a glimpse into the recommended literature review structure and content, demonstrating how research findings are organized around specific themes within a broader topic. 

Literature Review on Climate Change Impacts on Biodiversity:

Climate change is a global phenomenon with far-reaching consequences, including significant impacts on biodiversity. This literature review synthesizes key findings from various studies: 

a. Habitat Loss and Species Extinction:

Climate change-induced alterations in temperature and precipitation patterns contribute to habitat loss, affecting numerous species (Thomas et al., 2004). The review discusses how these changes increase the risk of extinction, particularly for species with specific habitat requirements. 

b. Range Shifts and Phenological Changes:

Observations of range shifts and changes in the timing of biological events (phenology) are documented in response to changing climatic conditions (Parmesan & Yohe, 2003). These shifts affect ecosystems and may lead to mismatches between species and their resources. 

c. Ocean Acidification and Coral Reefs:

The review explores the impact of climate change on marine biodiversity, emphasizing ocean acidification’s threat to coral reefs (Hoegh-Guldberg et al., 2007). Changes in pH levels negatively affect coral calcification, disrupting the delicate balance of marine ecosystems. 

d. Adaptive Strategies and Conservation Efforts:

Recognizing the urgency of the situation, the literature review discusses various adaptive strategies adopted by species and conservation efforts aimed at mitigating the impacts of climate change on biodiversity (Hannah et al., 2007). It emphasizes the importance of interdisciplinary approaches for effective conservation planning. 

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Writing a literature review involves summarizing and synthesizing existing research on a particular topic. A good literature review format should include the following elements. 

Introduction: The introduction sets the stage for your literature review, providing context and introducing the main focus of your review. 

• Opening Statement: Begin with a general statement about the broader topic and its significance in the field. 
• Scope and Purpose: Clearly define the scope of your literature review. Explain the specific research question or objective you aim to address. 
• Organizational Framework: Briefly outline the structure of your literature review, indicating how you will categorize and discuss the existing research. 
• Significance of the Study: Highlight why your literature review is important and how it contributes to the understanding of the chosen topic. 
• Thesis Statement: Conclude the introduction with a concise thesis statement that outlines the main argument or perspective you will develop in the body of the literature review. 

Body: The body of the literature review is where you provide a comprehensive analysis of existing literature, grouping studies based on themes, methodologies, or other relevant criteria. 

• Organize by Theme or Concept: Group studies that share common themes, concepts, or methodologies. Discuss each theme or concept in detail, summarizing key findings and identifying gaps or areas of disagreement. 
• Critical Analysis: Evaluate the strengths and weaknesses of each study. Discuss the methodologies used, the quality of evidence, and the overall contribution of each work to the understanding of the topic. 
• Synthesis of Findings: Synthesize the information from different studies to highlight trends, patterns, or areas of consensus in the literature. 
• Identification of Gaps: Discuss any gaps or limitations in the existing research and explain how your review contributes to filling these gaps. 
• Transition between Sections: Provide smooth transitions between different themes or concepts to maintain the flow of your literature review. 

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Conclusion: The conclusion of your literature review should summarize the main findings, highlight the contributions of the review, and suggest avenues for future research. 

• Summary of Key Findings: Recap the main findings from the literature and restate how they contribute to your research question or objective. 
• Contributions to the Field: Discuss the overall contribution of your literature review to the existing knowledge in the field. 
• Implications and Applications: Explore the practical implications of the findings and suggest how they might impact future research or practice. 
• Recommendations for Future Research: Identify areas that require further investigation and propose potential directions for future research in the field. 
• Final Thoughts: Conclude with a final reflection on the importance of your literature review and its relevance to the broader academic community. 

Conducting a literature review

Conducting a literature review is an essential step in research that involves reviewing and analyzing existing literature on a specific topic. It’s important to know how to do a literature review effectively, so here are the steps to follow: 1  

Choose a Topic and Define the Research Question:

• Select a topic that is relevant to your field of study. 
• Clearly define your research question or objective. Determine what specific aspect of the topic do you want to explore? 

Decide on the Scope of Your Review:

• Determine the timeframe for your literature review. Are you focusing on recent developments, or do you want a historical overview? 
• Consider the geographical scope. Is your review global, or are you focusing on a specific region? 
• Define the inclusion and exclusion criteria. What types of sources will you include? Are there specific types of studies or publications you will exclude? 

Select Databases for Searches:

• Identify relevant databases for your field. Examples include PubMed, IEEE Xplore, Scopus, Web of Science, and Google Scholar. 
• Consider searching in library catalogs, institutional repositories, and specialized databases related to your topic. 

Conduct Searches and Keep Track:

• Develop a systematic search strategy using keywords, Boolean operators (AND, OR, NOT), and other search techniques. 
• Record and document your search strategy for transparency and replicability. 
• Keep track of the articles, including publication details, abstracts, and links. Use citation management tools like EndNote, Zotero, or Mendeley to organize your references. 

Review the Literature:

• Evaluate the relevance and quality of each source. Consider the methodology, sample size, and results of studies. 
• Organize the literature by themes or key concepts. Identify patterns, trends, and gaps in the existing research. 
• Summarize key findings and arguments from each source. Compare and contrast different perspectives. 
• Identify areas where there is a consensus in the literature and where there are conflicting opinions. 
• Provide critical analysis and synthesis of the literature. What are the strengths and weaknesses of existing research? 

Organize and Write Your Literature Review:

• Literature review outline should be based on themes, chronological order, or methodological approaches. 
• Write a clear and coherent narrative that synthesizes the information gathered. 
• Use proper citations for each source and ensure consistency in your citation style (APA, MLA, Chicago, etc.). 
• Conclude your literature review by summarizing key findings, identifying gaps, and suggesting areas for future research. 

Whether you’re exploring a new research field or finding new angles to develop an existing topic, sifting through hundreds of papers can take more time than you have to spare. But what if you could find science-backed insights with verified citations in seconds? That’s the power of Paperpal’s new Research feature!  

How to write a literature review faster with Paperpal?

Paperpal, an AI writing assistant, integrates powerful academic search capabilities within its writing platform. With the Research feature, you get 100% factual insights, with citations backed by 250M+ verified research articles, directly within your writing interface with the option to save relevant references in your Citation Library. By eliminating the need to switch tabs to find answers to all your research questions, Paperpal saves time and helps you stay focused on your writing.   

Here’s how to use the Research feature:  

• Ask a question: Get started with a new document on paperpal.com. Click on the “Research” feature and type your question in plain English. Paperpal will scour over 250 million research articles, including conference papers and preprints, to provide you with accurate insights and citations. 
• Review and Save: Paperpal summarizes the information, while citing sources and listing relevant reads. You can quickly scan the results to identify relevant references and save these directly to your built-in citations library for later access. 
• Cite with Confidence: Paperpal makes it easy to incorporate relevant citations and references into your writing, ensuring your arguments are well-supported by credible sources. This translates to a polished, well-researched literature review. 

The literature review sample and detailed advice on writing and conducting a review will help you produce a well-structured report. But remember that a good literature review is an ongoing process, and it may be necessary to revisit and update it as your research progresses. By combining effortless research with an easy citation process, Paperpal Research streamlines the literature review process and empowers you to write faster and with more confidence. Try Paperpal Research now and see for yourself.  

Frequently asked questions

A literature review is a critical and comprehensive analysis of existing literature (published and unpublished works) on a specific topic or research question and provides a synthesis of the current state of knowledge in a particular field. A well-conducted literature review is crucial for researchers to build upon existing knowledge, avoid duplication of efforts, and contribute to the advancement of their field. It also helps researchers situate their work within a broader context and facilitates the development of a sound theoretical and conceptual framework for their studies.

Literature review is a crucial component of research writing, providing a solid background for a research paper’s investigation. The aim is to keep professionals up to date by providing an understanding of ongoing developments within a specific field, including research methods, and experimental techniques used in that field, and present that knowledge in the form of a written report. Also, the depth and breadth of the literature review emphasizes the credibility of the scholar in his or her field.  

Before writing a literature review, it’s essential to undertake several preparatory steps to ensure that your review is well-researched, organized, and focused. This includes choosing a topic of general interest to you and doing exploratory research on that topic, writing an annotated bibliography, and noting major points, especially those that relate to the position you have taken on the topic. 

Literature reviews and academic research papers are essential components of scholarly work but serve different purposes within the academic realm. 3 A literature review aims to provide a foundation for understanding the current state of research on a particular topic, identify gaps or controversies, and lay the groundwork for future research. Therefore, it draws heavily from existing academic sources, including books, journal articles, and other scholarly publications. In contrast, an academic research paper aims to present new knowledge, contribute to the academic discourse, and advance the understanding of a specific research question. Therefore, it involves a mix of existing literature (in the introduction and literature review sections) and original data or findings obtained through research methods. 

Literature reviews are essential components of academic and research papers, and various strategies can be employed to conduct them effectively. If you want to know how to write a literature review for a research paper, here are four common approaches that are often used by researchers.  Chronological Review: This strategy involves organizing the literature based on the chronological order of publication. It helps to trace the development of a topic over time, showing how ideas, theories, and research have evolved.  Thematic Review: Thematic reviews focus on identifying and analyzing themes or topics that cut across different studies. Instead of organizing the literature chronologically, it is grouped by key themes or concepts, allowing for a comprehensive exploration of various aspects of the topic.  Methodological Review: This strategy involves organizing the literature based on the research methods employed in different studies. It helps to highlight the strengths and weaknesses of various methodologies and allows the reader to evaluate the reliability and validity of the research findings.  Theoretical Review: A theoretical review examines the literature based on the theoretical frameworks used in different studies. This approach helps to identify the key theories that have been applied to the topic and assess their contributions to the understanding of the subject.  It’s important to note that these strategies are not mutually exclusive, and a literature review may combine elements of more than one approach. The choice of strategy depends on the research question, the nature of the literature available, and the goals of the review. Additionally, other strategies, such as integrative reviews or systematic reviews, may be employed depending on the specific requirements of the research.

The literature review format can vary depending on the specific publication guidelines. However, there are some common elements and structures that are often followed. Here is a general guideline for the format of a literature review:  Introduction:   Provide an overview of the topic.  Define the scope and purpose of the literature review.  State the research question or objective.  Body:   Organize the literature by themes, concepts, or chronology.  Critically analyze and evaluate each source.  Discuss the strengths and weaknesses of the studies.  Highlight any methodological limitations or biases.  Identify patterns, connections, or contradictions in the existing research.  Conclusion:   Summarize the key points discussed in the literature review.  Highlight the research gap.  Address the research question or objective stated in the introduction.  Highlight the contributions of the review and suggest directions for future research.

Both annotated bibliographies and literature reviews involve the examination of scholarly sources. While annotated bibliographies focus on individual sources with brief annotations, literature reviews provide a more in-depth, integrated, and comprehensive analysis of existing literature on a specific topic. The key differences are as follows: 

References 

• Denney, A. S., & Tewksbury, R. (2013). How to write a literature review.  Journal of criminal justice education ,  24 (2), 218-234. 
• Pan, M. L. (2016).  Preparing literature reviews: Qualitative and quantitative approaches . Taylor & Francis. 
• Cantero, C. (2019). How to write a literature review.  San José State University Writing Center . 

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• How to Write a Literature Review | Guide, Examples, & Templates

How to Write a Literature Review | Guide, Examples, & Templates

Published on January 2, 2023 by Shona McCombes . Revised on September 11, 2023.

What is a literature review? A literature review is a survey of scholarly sources on a specific topic. It provides an overview of current knowledge, allowing you to identify relevant theories, methods, and gaps in the existing research that you can later apply to your paper, thesis, or dissertation topic .

There are five key steps to writing a literature review:

• Search for relevant literature
• Evaluate sources
• Identify themes, debates, and gaps
• Outline the structure
• Write your literature review

A good literature review doesn’t just summarize sources—it analyzes, synthesizes , and critically evaluates to give a clear picture of the state of knowledge on the subject.

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Table of contents

What is the purpose of a literature review, examples of literature reviews, step 1 – search for relevant literature, step 2 – evaluate and select sources, step 3 – identify themes, debates, and gaps, step 4 – outline your literature review’s structure, step 5 – write your literature review, free lecture slides, other interesting articles, frequently asked questions, introduction.

• Quick Run-through
• Step 1 & 2

When you write a thesis , dissertation , or research paper , you will likely have to conduct a literature review to situate your research within existing knowledge. The literature review gives you a chance to:

• Demonstrate your familiarity with the topic and its scholarly context
• Develop a theoretical framework and methodology for your research
• Position your work in relation to other researchers and theorists
• Show how your research addresses a gap or contributes to a debate
• Evaluate the current state of research and demonstrate your knowledge of the scholarly debates around your topic.

Writing literature reviews is a particularly important skill if you want to apply for graduate school or pursue a career in research. We’ve written a step-by-step guide that you can follow below.

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Writing literature reviews can be quite challenging! A good starting point could be to look at some examples, depending on what kind of literature review you’d like to write.

• Example literature review #1: “Why Do People Migrate? A Review of the Theoretical Literature” ( Theoretical literature review about the development of economic migration theory from the 1950s to today.)
• Example literature review #2: “Literature review as a research methodology: An overview and guidelines” ( Methodological literature review about interdisciplinary knowledge acquisition and production.)
• Example literature review #3: “The Use of Technology in English Language Learning: A Literature Review” ( Thematic literature review about the effects of technology on language acquisition.)
• Example literature review #4: “Learners’ Listening Comprehension Difficulties in English Language Learning: A Literature Review” ( Chronological literature review about how the concept of listening skills has changed over time.)

You can also check out our templates with literature review examples and sample outlines at the links below.

Download Word doc Download Google doc

Before you begin searching for literature, you need a clearly defined topic .

If you are writing the literature review section of a dissertation or research paper, you will search for literature related to your research problem and questions .

Make a list of keywords

Start by creating a list of keywords related to your research question. Include each of the key concepts or variables you’re interested in, and list any synonyms and related terms. You can add to this list as you discover new keywords in the process of your literature search.

• Social media, Facebook, Instagram, Twitter, Snapchat, TikTok
• Body image, self-perception, self-esteem, mental health
• Generation Z, teenagers, adolescents, youth

Search for relevant sources

Use your keywords to begin searching for sources. Some useful databases to search for journals and articles include:

• Your university’s library catalogue
• Google Scholar
• Project Muse (humanities and social sciences)
• Medline (life sciences and biomedicine)
• EconLit (economics)
• Inspec (physics, engineering and computer science)

You can also use boolean operators to help narrow down your search.

Make sure to read the abstract to find out whether an article is relevant to your question. When you find a useful book or article, you can check the bibliography to find other relevant sources.

You likely won’t be able to read absolutely everything that has been written on your topic, so it will be necessary to evaluate which sources are most relevant to your research question.

For each publication, ask yourself:

• What question or problem is the author addressing?
• What are the key concepts and how are they defined?
• What are the key theories, models, and methods?
• Does the research use established frameworks or take an innovative approach?
• What are the results and conclusions of the study?
• How does the publication relate to other literature in the field? Does it confirm, add to, or challenge established knowledge?
• What are the strengths and weaknesses of the research?

Make sure the sources you use are credible , and make sure you read any landmark studies and major theories in your field of research.

You can use our template to summarize and evaluate sources you’re thinking about using. Click on either button below to download.

Take notes and cite your sources

As you read, you should also begin the writing process. Take notes that you can later incorporate into the text of your literature review.

It is important to keep track of your sources with citations to avoid plagiarism . It can be helpful to make an annotated bibliography , where you compile full citation information and write a paragraph of summary and analysis for each source. This helps you remember what you read and saves time later in the process.

To begin organizing your literature review’s argument and structure, be sure you understand the connections and relationships between the sources you’ve read. Based on your reading and notes, you can look for:

• Trends and patterns (in theory, method or results): do certain approaches become more or less popular over time?
• Themes: what questions or concepts recur across the literature?
• Debates, conflicts and contradictions: where do sources disagree?
• Pivotal publications: are there any influential theories or studies that changed the direction of the field?
• Gaps: what is missing from the literature? Are there weaknesses that need to be addressed?

This step will help you work out the structure of your literature review and (if applicable) show how your own research will contribute to existing knowledge.

• Most research has focused on young women.
• There is an increasing interest in the visual aspects of social media.
• But there is still a lack of robust research on highly visual platforms like Instagram and Snapchat—this is a gap that you could address in your own research.

There are various approaches to organizing the body of a literature review. Depending on the length of your literature review, you can combine several of these strategies (for example, your overall structure might be thematic, but each theme is discussed chronologically).

Chronological

The simplest approach is to trace the development of the topic over time. However, if you choose this strategy, be careful to avoid simply listing and summarizing sources in order.

Try to analyze patterns, turning points and key debates that have shaped the direction of the field. Give your interpretation of how and why certain developments occurred.

If you have found some recurring central themes, you can organize your literature review into subsections that address different aspects of the topic.

For example, if you are reviewing literature about inequalities in migrant health outcomes, key themes might include healthcare policy, language barriers, cultural attitudes, legal status, and economic access.

Methodological

If you draw your sources from different disciplines or fields that use a variety of research methods , you might want to compare the results and conclusions that emerge from different approaches. For example:

• Look at what results have emerged in qualitative versus quantitative research
• Discuss how the topic has been approached by empirical versus theoretical scholarship
• Divide the literature into sociological, historical, and cultural sources

Theoretical

A literature review is often the foundation for a theoretical framework . You can use it to discuss various theories, models, and definitions of key concepts.

You might argue for the relevance of a specific theoretical approach, or combine various theoretical concepts to create a framework for your research.

Like any other academic text , your literature review should have an introduction , a main body, and a conclusion . What you include in each depends on the objective of your literature review.

The introduction should clearly establish the focus and purpose of the literature review.

Depending on the length of your literature review, you might want to divide the body into subsections. You can use a subheading for each theme, time period, or methodological approach.

As you write, you can follow these tips:

• Summarize and synthesize: give an overview of the main points of each source and combine them into a coherent whole
• Analyze and interpret: don’t just paraphrase other researchers — add your own interpretations where possible, discussing the significance of findings in relation to the literature as a whole
• Critically evaluate: mention the strengths and weaknesses of your sources
• Write in well-structured paragraphs: use transition words and topic sentences to draw connections, comparisons and contrasts

In the conclusion, you should summarize the key findings you have taken from the literature and emphasize their significance.

When you’ve finished writing and revising your literature review, don’t forget to proofread thoroughly before submitting. Not a language expert? Check out Scribbr’s professional proofreading services !

This article has been adapted into lecture slides that you can use to teach your students about writing a literature review.

Scribbr slides are free to use, customize, and distribute for educational purposes.

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If you want to know more about the research process , methodology , research bias , or statistics , make sure to check out some of our other articles with explanations and examples.

• Sampling methods
• Simple random sampling
• Stratified sampling
• Cluster sampling
• Likert scales
• Reproducibility

 Statistics

• Null hypothesis
• Statistical power
• Probability distribution
• Effect size
• Poisson distribution

Research bias

• Optimism bias
• Cognitive bias
• Implicit bias
• Hawthorne effect
• Anchoring bias
• Explicit bias

A literature review is a survey of scholarly sources (such as books, journal articles, and theses) related to a specific topic or research question .

It is often written as part of a thesis, dissertation , or research paper , in order to situate your work in relation to existing knowledge.

There are several reasons to conduct a literature review at the beginning of a research project:

• To familiarize yourself with the current state of knowledge on your topic
• To ensure that you’re not just repeating what others have already done
• To identify gaps in knowledge and unresolved problems that your research can address
• To develop your theoretical framework and methodology
• To provide an overview of the key findings and debates on the topic

Writing the literature review shows your reader how your work relates to existing research and what new insights it will contribute.

The literature review usually comes near the beginning of your thesis or dissertation . After the introduction , it grounds your research in a scholarly field and leads directly to your theoretical framework or methodology .

A literature review is a survey of credible sources on a topic, often used in dissertations , theses, and research papers . Literature reviews give an overview of knowledge on a subject, helping you identify relevant theories and methods, as well as gaps in existing research. Literature reviews are set up similarly to other  academic texts , with an introduction , a main body, and a conclusion .

An  annotated bibliography is a list of  source references that has a short description (called an annotation ) for each of the sources. It is often assigned as part of the research process for a  paper .  

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• What is a Literature Review? | Guide, Template, & Examples

What is a Literature Review? | Guide, Template, & Examples

Published on 22 February 2022 by Shona McCombes . Revised on 7 June 2022.

What is a literature review? A literature review is a survey of scholarly sources on a specific topic. It provides an overview of current knowledge, allowing you to identify relevant theories, methods, and gaps in the existing research.

There are five key steps to writing a literature review:

• Search for relevant literature
• Evaluate sources
• Identify themes, debates and gaps
• Outline the structure
• Write your literature review

A good literature review doesn’t just summarise sources – it analyses, synthesises, and critically evaluates to give a clear picture of the state of knowledge on the subject.

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Table of contents

Why write a literature review, examples of literature reviews, step 1: search for relevant literature, step 2: evaluate and select sources, step 3: identify themes, debates and gaps, step 4: outline your literature review’s structure, step 5: write your literature review, frequently asked questions about literature reviews, introduction.

• Quick Run-through
• Step 1 & 2

When you write a dissertation or thesis, you will have to conduct a literature review to situate your research within existing knowledge. The literature review gives you a chance to:

• Demonstrate your familiarity with the topic and scholarly context
• Develop a theoretical framework and methodology for your research
• Position yourself in relation to other researchers and theorists
• Show how your dissertation addresses a gap or contributes to a debate

You might also have to write a literature review as a stand-alone assignment. In this case, the purpose is to evaluate the current state of research and demonstrate your knowledge of scholarly debates around a topic.

The content will look slightly different in each case, but the process of conducting a literature review follows the same steps. We’ve written a step-by-step guide that you can follow below.

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Writing literature reviews can be quite challenging! A good starting point could be to look at some examples, depending on what kind of literature review you’d like to write.

• Example literature review #1: “Why Do People Migrate? A Review of the Theoretical Literature” ( Theoretical literature review about the development of economic migration theory from the 1950s to today.)
• Example literature review #2: “Literature review as a research methodology: An overview and guidelines” ( Methodological literature review about interdisciplinary knowledge acquisition and production.)
• Example literature review #3: “The Use of Technology in English Language Learning: A Literature Review” ( Thematic literature review about the effects of technology on language acquisition.)
• Example literature review #4: “Learners’ Listening Comprehension Difficulties in English Language Learning: A Literature Review” ( Chronological literature review about how the concept of listening skills has changed over time.)

You can also check out our templates with literature review examples and sample outlines at the links below.

Download Word doc Download Google doc

Before you begin searching for literature, you need a clearly defined topic .

If you are writing the literature review section of a dissertation or research paper, you will search for literature related to your research objectives and questions .

If you are writing a literature review as a stand-alone assignment, you will have to choose a focus and develop a central question to direct your search. Unlike a dissertation research question, this question has to be answerable without collecting original data. You should be able to answer it based only on a review of existing publications.

Make a list of keywords

Start by creating a list of keywords related to your research topic. Include each of the key concepts or variables you’re interested in, and list any synonyms and related terms. You can add to this list if you discover new keywords in the process of your literature search.

• Social media, Facebook, Instagram, Twitter, Snapchat, TikTok
• Body image, self-perception, self-esteem, mental health
• Generation Z, teenagers, adolescents, youth

Search for relevant sources

Use your keywords to begin searching for sources. Some databases to search for journals and articles include:

• Your university’s library catalogue
• Google Scholar
• Project Muse (humanities and social sciences)
• Medline (life sciences and biomedicine)
• EconLit (economics)
• Inspec (physics, engineering and computer science)

You can use boolean operators to help narrow down your search:

Read the abstract to find out whether an article is relevant to your question. When you find a useful book or article, you can check the bibliography to find other relevant sources.

To identify the most important publications on your topic, take note of recurring citations. If the same authors, books or articles keep appearing in your reading, make sure to seek them out.

You probably won’t be able to read absolutely everything that has been written on the topic – you’ll have to evaluate which sources are most relevant to your questions.

For each publication, ask yourself:

• What question or problem is the author addressing?
• What are the key concepts and how are they defined?
• What are the key theories, models and methods? Does the research use established frameworks or take an innovative approach?
• What are the results and conclusions of the study?
• How does the publication relate to other literature in the field? Does it confirm, add to, or challenge established knowledge?
• How does the publication contribute to your understanding of the topic? What are its key insights and arguments?
• What are the strengths and weaknesses of the research?

Make sure the sources you use are credible, and make sure you read any landmark studies and major theories in your field of research.

You can find out how many times an article has been cited on Google Scholar – a high citation count means the article has been influential in the field, and should certainly be included in your literature review.

The scope of your review will depend on your topic and discipline: in the sciences you usually only review recent literature, but in the humanities you might take a long historical perspective (for example, to trace how a concept has changed in meaning over time).

Remember that you can use our template to summarise and evaluate sources you’re thinking about using!

Take notes and cite your sources

As you read, you should also begin the writing process. Take notes that you can later incorporate into the text of your literature review.

It’s important to keep track of your sources with references to avoid plagiarism . It can be helpful to make an annotated bibliography, where you compile full reference information and write a paragraph of summary and analysis for each source. This helps you remember what you read and saves time later in the process.

You can use our free APA Reference Generator for quick, correct, consistent citations.

Prevent plagiarism, run a free check.

To begin organising your literature review’s argument and structure, you need to understand the connections and relationships between the sources you’ve read. Based on your reading and notes, you can look for:

• Trends and patterns (in theory, method or results): do certain approaches become more or less popular over time?
• Themes: what questions or concepts recur across the literature?
• Debates, conflicts and contradictions: where do sources disagree?
• Pivotal publications: are there any influential theories or studies that changed the direction of the field?
• Gaps: what is missing from the literature? Are there weaknesses that need to be addressed?

This step will help you work out the structure of your literature review and (if applicable) show how your own research will contribute to existing knowledge.

• Most research has focused on young women.
• There is an increasing interest in the visual aspects of social media.
• But there is still a lack of robust research on highly-visual platforms like Instagram and Snapchat – this is a gap that you could address in your own research.

There are various approaches to organising the body of a literature review. You should have a rough idea of your strategy before you start writing.

Depending on the length of your literature review, you can combine several of these strategies (for example, your overall structure might be thematic, but each theme is discussed chronologically).

Chronological

The simplest approach is to trace the development of the topic over time. However, if you choose this strategy, be careful to avoid simply listing and summarising sources in order.

Try to analyse patterns, turning points and key debates that have shaped the direction of the field. Give your interpretation of how and why certain developments occurred.

If you have found some recurring central themes, you can organise your literature review into subsections that address different aspects of the topic.

For example, if you are reviewing literature about inequalities in migrant health outcomes, key themes might include healthcare policy, language barriers, cultural attitudes, legal status, and economic access.

Methodological

If you draw your sources from different disciplines or fields that use a variety of research methods , you might want to compare the results and conclusions that emerge from different approaches. For example:

• Look at what results have emerged in qualitative versus quantitative research
• Discuss how the topic has been approached by empirical versus theoretical scholarship
• Divide the literature into sociological, historical, and cultural sources

Theoretical

A literature review is often the foundation for a theoretical framework . You can use it to discuss various theories, models, and definitions of key concepts.

You might argue for the relevance of a specific theoretical approach, or combine various theoretical concepts to create a framework for your research.

Like any other academic text, your literature review should have an introduction , a main body, and a conclusion . What you include in each depends on the objective of your literature review.

The introduction should clearly establish the focus and purpose of the literature review.

If you are writing the literature review as part of your dissertation or thesis, reiterate your central problem or research question and give a brief summary of the scholarly context. You can emphasise the timeliness of the topic (“many recent studies have focused on the problem of x”) or highlight a gap in the literature (“while there has been much research on x, few researchers have taken y into consideration”).

Depending on the length of your literature review, you might want to divide the body into subsections. You can use a subheading for each theme, time period, or methodological approach.

As you write, make sure to follow these tips:

• Summarise and synthesise: give an overview of the main points of each source and combine them into a coherent whole.
• Analyse and interpret: don’t just paraphrase other researchers – add your own interpretations, discussing the significance of findings in relation to the literature as a whole.
• Critically evaluate: mention the strengths and weaknesses of your sources.
• Write in well-structured paragraphs: use transitions and topic sentences to draw connections, comparisons and contrasts.

In the conclusion, you should summarise the key findings you have taken from the literature and emphasise their significance.

If the literature review is part of your dissertation or thesis, reiterate how your research addresses gaps and contributes new knowledge, or discuss how you have drawn on existing theories and methods to build a framework for your research. This can lead directly into your methodology section.

A literature review is a survey of scholarly sources (such as books, journal articles, and theses) related to a specific topic or research question .

It is often written as part of a dissertation , thesis, research paper , or proposal .

There are several reasons to conduct a literature review at the beginning of a research project:

• To familiarise yourself with the current state of knowledge on your topic
• To ensure that you’re not just repeating what others have already done
• To identify gaps in knowledge and unresolved problems that your research can address
• To develop your theoretical framework and methodology
• To provide an overview of the key findings and debates on the topic

Writing the literature review shows your reader how your work relates to existing research and what new insights it will contribute.

The literature review usually comes near the beginning of your  dissertation . After the introduction , it grounds your research in a scholarly field and leads directly to your theoretical framework or methodology .

Cite this Scribbr article

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What is a literature review? [with examples]

What is a literature review?

The purpose of a literature review, how to write a literature review, the format of a literature review, general formatting rules, the length of a literature review, literature review examples, frequently asked questions about literature reviews, related articles.

A literature review is an assessment of the sources in a chosen topic of research.

In a literature review, you’re expected to report on the existing scholarly conversation, without adding new contributions.

If you are currently writing one, you've come to the right place. In the following paragraphs, we will explain:

• the objective of a literature review
• how to write a literature review
• the basic format of a literature review

Tip: It’s not always mandatory to add a literature review in a paper. Theses and dissertations often include them, whereas research papers may not. Make sure to consult with your instructor for exact requirements.

The four main objectives of a literature review are:

• Studying the references of your research area
• Summarizing the main arguments
• Identifying current gaps, stances, and issues
• Presenting all of the above in a text

Ultimately, the main goal of a literature review is to provide the researcher with sufficient knowledge about the topic in question so that they can eventually make an intervention.

The format of a literature review is fairly standard. It includes an:

• introduction that briefly introduces the main topic
• body that includes the main discussion of the key arguments
• conclusion that highlights the gaps and issues of the literature

➡️ Take a look at our guide on how to write a literature review to learn more about how to structure a literature review.

First of all, a literature review should have its own labeled section. You should indicate clearly in the table of contents where the literature can be found, and you should label this section as “Literature Review.”

➡️ For more information on writing a thesis, visit our guide on how to structure a thesis .

There is no set amount of words for a literature review, so the length depends on the research. If you are working with a large amount of sources, it will be long. If your paper does not depend entirely on references, it will be short.

Take a look at these three theses featuring great literature reviews:

• School-Based Speech-Language Pathologist's Perceptions of Sensory Food Aversions in Children [ PDF , see page 20]
• Who's Writing What We Read: Authorship in Criminological Research [ PDF , see page 4]
• A Phenomenological Study of the Lived Experience of Online Instructors of Theological Reflection at Christian Institutions Accredited by the Association of Theological Schools [ PDF , see page 56]

Literature reviews are most commonly found in theses and dissertations. However, you find them in research papers as well.

There is no set amount of words for a literature review, so the length depends on the research. If you are working with a large amount of sources, then it will be long. If your paper does not depend entirely on references, then it will be short.

No. A literature review should have its own independent section. You should indicate clearly in the table of contents where the literature review can be found, and label this section as “Literature Review.”

The main goal of a literature review is to provide the researcher with sufficient knowledge about the topic in question so that they can eventually make an intervention.

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• Correction 09 December 2020

How to write a superb literature review

Andy Tay is a freelance writer based in Singapore.

You can also search for this author in PubMed   Google Scholar

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Literature reviews are important resources for scientists. They provide historical context for a field while offering opinions on its future trajectory. Creating them can provide inspiration for one’s own research, as well as some practice in writing. But few scientists are trained in how to write a review — or in what constitutes an excellent one. Even picking the appropriate software to use can be an involved decision (see ‘Tools and techniques’). So Nature asked editors and working scientists with well-cited reviews for their tips.

WENTING ZHAO: Be focused and avoid jargon

Assistant professor of chemical and biomedical engineering, Nanyang Technological University, Singapore.

When I was a research student, review writing improved my understanding of the history of my field. I also learnt about unmet challenges in the field that triggered ideas.

For example, while writing my first review 1 as a PhD student, I was frustrated by how poorly we understood how cells actively sense, interact with and adapt to nanoparticles used in drug delivery. This experience motivated me to study how the surface properties of nanoparticles can be modified to enhance biological sensing. When I transitioned to my postdoctoral research, this question led me to discover the role of cell-membrane curvature, which led to publications and my current research focus. I wouldn’t have started in this area without writing that review.

Collection: Careers toolkit

A common problem for students writing their first reviews is being overly ambitious. When I wrote mine, I imagined producing a comprehensive summary of every single type of nanomaterial used in biological applications. It ended up becoming a colossal piece of work, with too many papers discussed and without a clear way to categorize them. We published the work in the end, but decided to limit the discussion strictly to nanoparticles for biological sensing, rather than covering how different nanomaterials are used in biology.

My advice to students is to accept that a review is unlike a textbook: it should offer a more focused discussion, and it’s OK to skip some topics so that you do not distract your readers. Students should also consider editorial deadlines, especially for invited reviews: make sure that the review’s scope is not so extensive that it delays the writing.

A good review should also avoid jargon and explain the basic concepts for someone who is new to the field. Although I trained as an engineer, I’m interested in biology, and my research is about developing nanomaterials to manipulate proteins at the cell membrane and how this can affect ageing and cancer. As an ‘outsider’, the reviews that I find most useful for these biological topics are those that speak to me in accessible scientific language.

Bozhi Tian likes to get a variety of perspectives into a review. Credit: Aleksander Prominski

BOZHI TIAN: Have a process and develop your style

Associate professor of chemistry, University of Chicago, Illinois.

In my lab, we start by asking: what is the purpose of this review? My reasons for writing one can include the chance to contribute insights to the scientific community and identify opportunities for my research. I also see review writing as a way to train early-career researchers in soft skills such as project management and leadership. This is especially true for lead authors, because they will learn to work with their co-authors to integrate the various sections into a piece with smooth transitions and no overlaps.

After we have identified the need and purpose of a review article, I will form a team from the researchers in my lab. I try to include students with different areas of expertise, because it is useful to get a variety of perspectives. For example, in the review ‘An atlas of nano-enabled neural interfaces’ 2 , we had authors with backgrounds in biophysics, neuroengineering, neurobiology and materials sciences focusing on different sections of the review.

After this, I will discuss an outline with my team. We go through multiple iterations to make sure that we have scanned the literature sufficiently and do not repeat discussions that have appeared in other reviews. It is also important that the outline is not decided by me alone: students often have fresh ideas that they can bring to the table. Once this is done, we proceed with the writing.

I often remind my students to imagine themselves as ‘artists of science’ and encourage them to develop how they write and present information. Adding more words isn’t always the best way: for example, I enjoy using tables to summarize research progress and suggest future research trajectories. I’ve also considered including short videos in our review papers to highlight key aspects of the work. I think this can increase readership and accessibility because these videos can be easily shared on social-media platforms.

ANKITA ANIRBAN: Timeliness and figures make a huge difference

Editor, Nature Reviews Physics .

One of my roles as a journal editor is to evaluate proposals for reviews. The best proposals are timely and clearly explain why readers should pay attention to the proposed topic.

It is not enough for a review to be a summary of the latest growth in the literature: the most interesting reviews instead provide a discussion about disagreements in the field.

Careers Collection: Publishing

Scientists often centre the story of their primary research papers around their figures — but when it comes to reviews, figures often take a secondary role. In my opinion, review figures are more important than most people think. One of my favourite review-style articles 3 presents a plot bringing together data from multiple research papers (many of which directly contradict each other). This is then used to identify broad trends and suggest underlying mechanisms that could explain all of the different conclusions.

An important role of a review article is to introduce researchers to a field. For this, schematic figures can be useful to illustrate the science being discussed, in much the same way as the first slide of a talk should. That is why, at Nature Reviews, we have in-house illustrators to assist authors. However, simplicity is key, and even without support from professional illustrators, researchers can still make use of many free drawing tools to enhance the value of their review figures.

Yoojin Choi recommends that researchers be open to critiques when writing reviews. Credit: Yoojin Choi

YOOJIN CHOI: Stay updated and be open to suggestions

Research assistant professor, Korea Advanced Institute of Science and Technology, Daejeon.

I started writing the review ‘Biosynthesis of inorganic nanomaterials using microbial cells and bacteriophages’ 4 as a PhD student in 2018. It took me one year to write the first draft because I was working on the review alongside my PhD research and mostly on my own, with support from my adviser. It took a further year to complete the processes of peer review, revision and publication. During this time, many new papers and even competing reviews were published. To provide the most up-to-date and original review, I had to stay abreast of the literature. In my case, I made use of Google Scholar, which I set to send me daily updates of relevant literature based on key words.

Through my review-writing process, I also learnt to be more open to critiques to enhance the value and increase the readership of my work. Initially, my review was focused only on using microbial cells such as bacteria to produce nanomaterials, which was the subject of my PhD research. Bacteria such as these are known as biofactories: that is, organisms that produce biological material which can be modified to produce useful materials, such as magnetic nanoparticles for drug-delivery purposes.

Synchronized editing: the future of collaborative writing

However, when the first peer-review report came back, all three reviewers suggested expanding the review to cover another type of biofactory: bacteriophages. These are essentially viruses that infect bacteria, and they can also produce nanomaterials.

The feedback eventually led me to include a discussion of the differences between the various biofactories (bacteriophages, bacteria, fungi and microalgae) and their advantages and disadvantages. This turned out to be a great addition because it made the review more comprehensive.

Writing the review also led me to an idea about using nanomaterial-modified microorganisms to produce chemicals, which I’m still researching now.

PAULA MARTIN-GONZALEZ: Make good use of technology

PhD student, University of Cambridge, UK.

Just before the coronavirus lockdown, my PhD adviser and I decided to write a literature review discussing the integration of medical imaging with genomics to improve ovarian cancer management.

As I was researching the review, I noticed a trend in which some papers were consistently being cited by many other papers in the field. It was clear to me that those papers must be important, but as a new member of the field of integrated cancer biology, it was difficult to immediately find and read all of these ‘seminal papers’.

That was when I decided to code a small application to make my literature research more efficient. Using my code, users can enter a query, such as ‘ovarian cancer, computer tomography, radiomics’, and the application searches for all relevant literature archived in databases such as PubMed that feature these key words.

The code then identifies the relevant papers and creates a citation graph of all the references cited in the results of the search. The software highlights papers that have many citation relationships with other papers in the search, and could therefore be called seminal papers.

My code has substantially improved how I organize papers and has informed me of key publications and discoveries in my research field: something that would have taken more time and experience in the field otherwise. After I shared my code on GitHub, I received feedback that it can be daunting for researchers who are not used to coding. Consequently, I am hoping to build a more user-friendly interface in a form of a web page, akin to PubMed or Google Scholar, where users can simply input their queries to generate citation graphs.

Tools and techniques

Most reference managers on the market offer similar capabilities when it comes to providing a Microsoft Word plug-in and producing different citation styles. But depending on your working preferences, some might be more suitable than others.

Reference managers

Here is a comparison of the more popular collaborative writing tools, but there are other options, including Fidus Writer, Manuscript.io, Authorea and Stencila.

Collaborative writing tools

*Markdown and LaTex are code-based formatting languages favoured by physicists, mathematicians and computer scientists who code on a regular basis, and less popular in other disciplines such as biology and chemistry.

doi: https://doi.org/10.1038/d41586-020-03422-x

Interviews have been edited for length and clarity.

Updates & Corrections

Correction 09 December 2020 : An earlier version of the tables in this article included some incorrect details about the programs Zotero, Endnote and Manubot. These have now been corrected.

Hsing, I.-M., Xu, Y. & Zhao, W. Electroanalysis 19 , 755–768 (2007).

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Ledesma, H. A. et al. Nature Nanotechnol. 14 , 645–657 (2019).

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Choi, Y. & Lee, S. Y. Nature Rev. Chem . https://doi.org/10.1038/s41570-020-00221-w (2020).

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Literature Review: The What, Why and How-to Guide — Introduction

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What are Literature Reviews?

So, what is a literature review? "A literature review is an account of what has been published on a topic by accredited scholars and researchers. In writing the literature review, your purpose is to convey to your reader what knowledge and ideas have been established on a topic, and what their strengths and weaknesses are. As a piece of writing, the literature review must be defined by a guiding concept (e.g., your research objective, the problem or issue you are discussing, or your argumentative thesis). It is not just a descriptive list of the material available, or a set of summaries." Taylor, D.  The literature review: A few tips on conducting it . University of Toronto Health Sciences Writing Centre.

Goals of Literature Reviews

What are the goals of creating a Literature Review?  A literature could be written to accomplish different aims:

• To develop a theory or evaluate an existing theory
• To summarize the historical or existing state of a research topic
• Identify a problem in a field of research 

Baumeister, R. F., & Leary, M. R. (1997). Writing narrative literature reviews .  Review of General Psychology , 1 (3), 311-320.

What kinds of sources require a Literature Review?

• A research paper assigned in a course
• A thesis or dissertation
• A grant proposal
• An article intended for publication in a journal

All these instances require you to collect what has been written about your research topic so that you can demonstrate how your own research sheds new light on the topic.

Types of Literature Reviews

What kinds of literature reviews are written?

Narrative review: The purpose of this type of review is to describe the current state of the research on a specific topic/research and to offer a critical analysis of the literature reviewed. Studies are grouped by research/theoretical categories, and themes and trends, strengths and weakness, and gaps are identified. The review ends with a conclusion section which summarizes the findings regarding the state of the research of the specific study, the gaps identify and if applicable, explains how the author's research will address gaps identify in the review and expand the knowledge on the topic reviewed.

• Example : Predictors and Outcomes of U.S. Quality Maternity Leave: A Review and Conceptual Framework:  10.1177/08948453211037398  

Systematic review : "The authors of a systematic review use a specific procedure to search the research literature, select the studies to include in their review, and critically evaluate the studies they find." (p. 139). Nelson, L. K. (2013). Research in Communication Sciences and Disorders . Plural Publishing.

• Example : The effect of leave policies on increasing fertility: a systematic review:  10.1057/s41599-022-01270-w

Meta-analysis : "Meta-analysis is a method of reviewing research findings in a quantitative fashion by transforming the data from individual studies into what is called an effect size and then pooling and analyzing this information. The basic goal in meta-analysis is to explain why different outcomes have occurred in different studies." (p. 197). Roberts, M. C., & Ilardi, S. S. (2003). Handbook of Research Methods in Clinical Psychology . Blackwell Publishing.

• Example : Employment Instability and Fertility in Europe: A Meta-Analysis:  10.1215/00703370-9164737

Meta-synthesis : "Qualitative meta-synthesis is a type of qualitative study that uses as data the findings from other qualitative studies linked by the same or related topic." (p.312). Zimmer, L. (2006). Qualitative meta-synthesis: A question of dialoguing with texts .  Journal of Advanced Nursing , 53 (3), 311-318.

• Example : Women’s perspectives on career successes and barriers: A qualitative meta-synthesis:  10.1177/05390184221113735

Literature Reviews in the Health Sciences

• UConn Health subject guide on systematic reviews Explanation of the different review types used in health sciences literature as well as tools to help you find the right review type
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Writing a Literature Review

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A literature review is a document or section of a document that collects key sources on a topic and discusses those sources in conversation with each other (also called synthesis ). The lit review is an important genre in many disciplines, not just literature (i.e., the study of works of literature such as novels and plays). When we say “literature review” or refer to “the literature,” we are talking about the research ( scholarship ) in a given field. You will often see the terms “the research,” “the scholarship,” and “the literature” used mostly interchangeably.

Where, when, and why would I write a lit review?

There are a number of different situations where you might write a literature review, each with slightly different expectations; different disciplines, too, have field-specific expectations for what a literature review is and does. For instance, in the humanities, authors might include more overt argumentation and interpretation of source material in their literature reviews, whereas in the sciences, authors are more likely to report study designs and results in their literature reviews; these differences reflect these disciplines’ purposes and conventions in scholarship. You should always look at examples from your own discipline and talk to professors or mentors in your field to be sure you understand your discipline’s conventions, for literature reviews as well as for any other genre.

A literature review can be a part of a research paper or scholarly article, usually falling after the introduction and before the research methods sections. In these cases, the lit review just needs to cover scholarship that is important to the issue you are writing about; sometimes it will also cover key sources that informed your research methodology.

Lit reviews can also be standalone pieces, either as assignments in a class or as publications. In a class, a lit review may be assigned to help students familiarize themselves with a topic and with scholarship in their field, get an idea of the other researchers working on the topic they’re interested in, find gaps in existing research in order to propose new projects, and/or develop a theoretical framework and methodology for later research. As a publication, a lit review usually is meant to help make other scholars’ lives easier by collecting and summarizing, synthesizing, and analyzing existing research on a topic. This can be especially helpful for students or scholars getting into a new research area, or for directing an entire community of scholars toward questions that have not yet been answered.

What are the parts of a lit review?

Most lit reviews use a basic introduction-body-conclusion structure; if your lit review is part of a larger paper, the introduction and conclusion pieces may be just a few sentences while you focus most of your attention on the body. If your lit review is a standalone piece, the introduction and conclusion take up more space and give you a place to discuss your goals, research methods, and conclusions separately from where you discuss the literature itself.

Introduction:

• An introductory paragraph that explains what your working topic and thesis is
• A forecast of key topics or texts that will appear in the review
• Potentially, a description of how you found sources and how you analyzed them for inclusion and discussion in the review (more often found in published, standalone literature reviews than in lit review sections in an article or research paper)
• Summarize and synthesize: Give an overview of the main points of each source and combine them into a coherent whole
• Analyze and interpret: Don’t just paraphrase other researchers – add your own interpretations where possible, discussing the significance of findings in relation to the literature as a whole
• Critically Evaluate: Mention the strengths and weaknesses of your sources
• Write in well-structured paragraphs: Use transition words and topic sentence to draw connections, comparisons, and contrasts.

Conclusion:

• Summarize the key findings you have taken from the literature and emphasize their significance
• Connect it back to your primary research question

How should I organize my lit review?

Lit reviews can take many different organizational patterns depending on what you are trying to accomplish with the review. Here are some examples:

• Chronological : The simplest approach is to trace the development of the topic over time, which helps familiarize the audience with the topic (for instance if you are introducing something that is not commonly known in your field). If you choose this strategy, be careful to avoid simply listing and summarizing sources in order. Try to analyze the patterns, turning points, and key debates that have shaped the direction of the field. Give your interpretation of how and why certain developments occurred (as mentioned previously, this may not be appropriate in your discipline — check with a teacher or mentor if you’re unsure).
• Thematic : If you have found some recurring central themes that you will continue working with throughout your piece, you can organize your literature review into subsections that address different aspects of the topic. For example, if you are reviewing literature about women and religion, key themes can include the role of women in churches and the religious attitude towards women.
• Qualitative versus quantitative research
• Empirical versus theoretical scholarship
• Divide the research by sociological, historical, or cultural sources
• Theoretical : In many humanities articles, the literature review is the foundation for the theoretical framework. You can use it to discuss various theories, models, and definitions of key concepts. You can argue for the relevance of a specific theoretical approach or combine various theorical concepts to create a framework for your research.

What are some strategies or tips I can use while writing my lit review?

Any lit review is only as good as the research it discusses; make sure your sources are well-chosen and your research is thorough. Don’t be afraid to do more research if you discover a new thread as you’re writing. More info on the research process is available in our "Conducting Research" resources .

As you’re doing your research, create an annotated bibliography ( see our page on the this type of document ). Much of the information used in an annotated bibliography can be used also in a literature review, so you’ll be not only partially drafting your lit review as you research, but also developing your sense of the larger conversation going on among scholars, professionals, and any other stakeholders in your topic.

Usually you will need to synthesize research rather than just summarizing it. This means drawing connections between sources to create a picture of the scholarly conversation on a topic over time. Many student writers struggle to synthesize because they feel they don’t have anything to add to the scholars they are citing; here are some strategies to help you:

• It often helps to remember that the point of these kinds of syntheses is to show your readers how you understand your research, to help them read the rest of your paper.
• Writing teachers often say synthesis is like hosting a dinner party: imagine all your sources are together in a room, discussing your topic. What are they saying to each other?
• Look at the in-text citations in each paragraph. Are you citing just one source for each paragraph? This usually indicates summary only. When you have multiple sources cited in a paragraph, you are more likely to be synthesizing them (not always, but often
• Read more about synthesis here.

The most interesting literature reviews are often written as arguments (again, as mentioned at the beginning of the page, this is discipline-specific and doesn’t work for all situations). Often, the literature review is where you can establish your research as filling a particular gap or as relevant in a particular way. You have some chance to do this in your introduction in an article, but the literature review section gives a more extended opportunity to establish the conversation in the way you would like your readers to see it. You can choose the intellectual lineage you would like to be part of and whose definitions matter most to your thinking (mostly humanities-specific, but this goes for sciences as well). In addressing these points, you argue for your place in the conversation, which tends to make the lit review more compelling than a simple reporting of other sources.

Academic Writing

• Strategies for Writing
• Punctuation
• Plagiarism & Self-Plagiarism

How to Build a Literature Review

• PRISMA - Systematic reviews & meta-analyses
• Other Resources
• Using Zotero for Bibliographies
• Abstract Writing Tips
• Writing Assistance
• Locating a Journal
• Assessing Potential Journals
• Finding a Publisher
• Types of Peer Review
• Author Rights & Responsibilities
• Copyright Considerations
• What is a Lit Review?
• Why Write a Lit Review?

Structure of a Literature Review

Preliminary steps for literature review.

• Basic Example
• More Examples

What is a Literature Review?

A literature review is a comprehensive summary and analysis of previously published research on a particular topic. Literature reviews should give the reader an overview of the important theories and themes that have previously been discussed on the topic, as well as any important researchers who have contributed to the discourse. This review should connect the established conclusions to the hypothesis being presented in the rest of the paper.

What a Literature Review Is Not:

• Annotated Bibliography: An annotated bibliography summarizes and assesses each resource individually and separately. A literature review explores the connections between different articles to illustrate important themes/theories/research trends within a larger research area. 
• Timeline: While a literature review can be organized chronologically, they are not simple timelines of previous events. They should not be a list of any kind. Individual examples or events should be combined to illustrate larger ideas or concepts.
• Argumentative Paper: Literature reviews are not meant to be making an argument. They are explorations of a concept to give the audience an understanding of what has already been written and researched about an idea. As many perspectives as possible should be included in a literature review in order to give the reader as comprehensive understanding of a topic as possible.

Why Write a Literature Review?

After reading the literature review, the reader should have a basic understanding of the topic. A reader should be able to come into your paper without really knowing anything about an idea, and after reading the literature, feel more confident about the important points.

A literature review should also help the reader understand the focus the rest of the paper will take within the larger topic. If the reader knows what has already been studied, they will be better prepared for the novel argument that is about to be made.

A literature review should help the reader understand the important history, themes, events, and ideas about a particular topic. Connections between ideas/themes should also explored. Part of the importance of a literature review is to prove to experts who do read your paper that you are knowledgeable enough to contribute to the academic discussion. You have to have done your homework.

A literature review should also identify the gaps in research to show the reader what hasn't yet been explored. Your thesis should ideally address one of the gaps identified in the research. Scholarly articles are meant to push academic conversations forward with new ideas and arguments. Before knowing where the gaps are in a topic, you need to have read what others have written.

As mentioned in other tabs, literature reviews should discuss the big ideas that make up a topic. Each literature review should be broken up into different subtopics. Each subtopic should use groups of articles as evidence to support the ideas. There are several different ways of organizing a literature review. It will depend on the patterns one sees in the groups of articles as to which strategy should be used. Here are a few examples of how to organize your review:

Chronological

If there are clear trends that change over time, a chronological approach could be used to organize a literature review. For example, one might argue that in the 1970s, the predominant theories and themes argued something. However, in the 1980s, the theories evolved to something else. Then, in the 1990s, theories evolved further. Each decade is a subtopic, and articles should be used as examples. 

Themes/Theories

There may also be clear distinctions between schools of thought within a topic, a theoretical breakdown may be most appropriate. Each theory could be a subtopic, and articles supporting the theme should be included as evidence for each one. 

If researchers mainly differ in the way they went about conducting research, literature reviews can be organized by methodology. Each type of method could be a subtopic,  and articles using the method should be included as evidence for each one.

• Define your research question
• Compile a list of initial keywords to use for searching based on question
• Search for literature that discusses the topics surrounding your research question
• Assess and organize your literature into logical groups
• Identify gaps in research and conduct secondary searches (if necessary)
• Reassess and reorganize literature again (if necessary)
• Write review

Here is an example of a literature review, taken from the beginning of a research article. You can find other examples within most scholarly research articles. The majority of published scholarship includes a literature review section, and you can use those to become more familiar with these reviews.

Source:  Perceptions of the Police by LGBT Communities

There are many books and internet resources about literature reviews though most are long on how to search and gather the literature. How to literally organize the information is another matter.

Some pro tips:

• Be thoughtful in naming the folders, sub-folders, and sub, sub-folders.  Doing so really helps your thinking and concepts within your research topic.
• Be disciplined to add keywords under the tabs as this will help you search for ALL the items on your concepts/topics.
• Use the notes tab to add reminders, write bibliography/annotated bibliography
• Your literature review easily flows from your statement of purpose (SoP).  Therefore, does your SoP say clearly and exactly the intent of your research?  Your research assumption and argument is obvious?
• Begin with a topic outline that traces your argument. pg99: "First establish the line of argumentation you will follow (the thesis), whether it is an assertion, a contention, or a proposition.
• This means that you should have formed judgments about the topic based on the analysis and synthesis of the literature you are reviewing."
• Keep filling it in; flushing it out more deeply with your references

Other Resources/Examples

• ISU Writing Assistance The Julia N. Visor Academic Center provides one-on-one writing assistance for any course or need. By focusing on the writing process instead of merely on grammar and editing, we are committed to making you a better writer.
• University of Toronto: The Literature Review Written by Dena Taylor, Health Sciences Writing Centre
• Purdue OWL - Writing a Lit Review Goes over the basic steps
• UW Madison Writing Center - Review of Literature A description of what each piece of a literature review should entail.
• USC Libraries - Literature Reviews Offers detailed guidance on how to develop, organize, and write a college-level research paper in the social and behavioral sciences.
• Creating the literature review: integrating research questions and arguments Blog post with very helpful overview for how to organize and build/integrate arguments in a literature review
• Understanding, Selecting, and Integrating a Theoretical Framework in Dissertation Research: Creating the Blueprint for Your “House” Article focusing on constructing a literature review for a dissertation. Still very relevant for literature reviews in other types of content.

A note that many of these examples will be far longer and in-depth than what's required for your assignment. However, they will give you an idea of the general structure and components of a literature review. Additionally, most scholarly articles will include a literature review section. Looking over the articles you have been assigned in classes will also help you.

• Understanding, Selecting, and Integrating a Theoretical Framework in Dissertation Research: Creating the Blueprint for Your “House” Excellent article detailing how to construct your literature review.
• Sample Literature Review (Univ. of Florida) This guide will provide research and writing tips to help students complete a literature review assignment.
• Sociology Literature Review (Univ. of Hawaii) Written in ASA citation style - don't follow this format.
• Sample Lit Review - Univ. of Vermont Includes an example with tips in the footnotes.

Attribution

Content on this page was provided by Grace Allbaugh

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Sample Lit Reviews from Communication Arts

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Ten Simple Rules for Writing a Literature Review

Marco pautasso.

1 Centre for Functional and Evolutionary Ecology (CEFE), CNRS, Montpellier, France

2 Centre for Biodiversity Synthesis and Analysis (CESAB), FRB, Aix-en-Provence, France

Literature reviews are in great demand in most scientific fields. Their need stems from the ever-increasing output of scientific publications [1] . For example, compared to 1991, in 2008 three, eight, and forty times more papers were indexed in Web of Science on malaria, obesity, and biodiversity, respectively [2] . Given such mountains of papers, scientists cannot be expected to examine in detail every single new paper relevant to their interests [3] . Thus, it is both advantageous and necessary to rely on regular summaries of the recent literature. Although recognition for scientists mainly comes from primary research, timely literature reviews can lead to new synthetic insights and are often widely read [4] . For such summaries to be useful, however, they need to be compiled in a professional way [5] .

When starting from scratch, reviewing the literature can require a titanic amount of work. That is why researchers who have spent their career working on a certain research issue are in a perfect position to review that literature. Some graduate schools are now offering courses in reviewing the literature, given that most research students start their project by producing an overview of what has already been done on their research issue [6] . However, it is likely that most scientists have not thought in detail about how to approach and carry out a literature review.

Reviewing the literature requires the ability to juggle multiple tasks, from finding and evaluating relevant material to synthesising information from various sources, from critical thinking to paraphrasing, evaluating, and citation skills [7] . In this contribution, I share ten simple rules I learned working on about 25 literature reviews as a PhD and postdoctoral student. Ideas and insights also come from discussions with coauthors and colleagues, as well as feedback from reviewers and editors.

Rule 1: Define a Topic and Audience

How to choose which topic to review? There are so many issues in contemporary science that you could spend a lifetime of attending conferences and reading the literature just pondering what to review. On the one hand, if you take several years to choose, several other people may have had the same idea in the meantime. On the other hand, only a well-considered topic is likely to lead to a brilliant literature review [8] . The topic must at least be:

• interesting to you (ideally, you should have come across a series of recent papers related to your line of work that call for a critical summary),
• an important aspect of the field (so that many readers will be interested in the review and there will be enough material to write it), and
• a well-defined issue (otherwise you could potentially include thousands of publications, which would make the review unhelpful).

Ideas for potential reviews may come from papers providing lists of key research questions to be answered [9] , but also from serendipitous moments during desultory reading and discussions. In addition to choosing your topic, you should also select a target audience. In many cases, the topic (e.g., web services in computational biology) will automatically define an audience (e.g., computational biologists), but that same topic may also be of interest to neighbouring fields (e.g., computer science, biology, etc.).

Rule 2: Search and Re-search the Literature

After having chosen your topic and audience, start by checking the literature and downloading relevant papers. Five pieces of advice here:

• keep track of the search items you use (so that your search can be replicated [10] ),
• keep a list of papers whose pdfs you cannot access immediately (so as to retrieve them later with alternative strategies),
• use a paper management system (e.g., Mendeley, Papers, Qiqqa, Sente),
• define early in the process some criteria for exclusion of irrelevant papers (these criteria can then be described in the review to help define its scope), and
• do not just look for research papers in the area you wish to review, but also seek previous reviews.

The chances are high that someone will already have published a literature review ( Figure 1 ), if not exactly on the issue you are planning to tackle, at least on a related topic. If there are already a few or several reviews of the literature on your issue, my advice is not to give up, but to carry on with your own literature review,

The bottom-right situation (many literature reviews but few research papers) is not just a theoretical situation; it applies, for example, to the study of the impacts of climate change on plant diseases, where there appear to be more literature reviews than research studies [33] .

• discussing in your review the approaches, limitations, and conclusions of past reviews,
• trying to find a new angle that has not been covered adequately in the previous reviews, and
• incorporating new material that has inevitably accumulated since their appearance.

When searching the literature for pertinent papers and reviews, the usual rules apply:

• be thorough,
• use different keywords and database sources (e.g., DBLP, Google Scholar, ISI Proceedings, JSTOR Search, Medline, Scopus, Web of Science), and
• look at who has cited past relevant papers and book chapters.

Rule 3: Take Notes While Reading

If you read the papers first, and only afterwards start writing the review, you will need a very good memory to remember who wrote what, and what your impressions and associations were while reading each single paper. My advice is, while reading, to start writing down interesting pieces of information, insights about how to organize the review, and thoughts on what to write. This way, by the time you have read the literature you selected, you will already have a rough draft of the review.

Of course, this draft will still need much rewriting, restructuring, and rethinking to obtain a text with a coherent argument [11] , but you will have avoided the danger posed by staring at a blank document. Be careful when taking notes to use quotation marks if you are provisionally copying verbatim from the literature. It is advisable then to reformulate such quotes with your own words in the final draft. It is important to be careful in noting the references already at this stage, so as to avoid misattributions. Using referencing software from the very beginning of your endeavour will save you time.

Rule 4: Choose the Type of Review You Wish to Write

After having taken notes while reading the literature, you will have a rough idea of the amount of material available for the review. This is probably a good time to decide whether to go for a mini- or a full review. Some journals are now favouring the publication of rather short reviews focusing on the last few years, with a limit on the number of words and citations. A mini-review is not necessarily a minor review: it may well attract more attention from busy readers, although it will inevitably simplify some issues and leave out some relevant material due to space limitations. A full review will have the advantage of more freedom to cover in detail the complexities of a particular scientific development, but may then be left in the pile of the very important papers “to be read” by readers with little time to spare for major monographs.

There is probably a continuum between mini- and full reviews. The same point applies to the dichotomy of descriptive vs. integrative reviews. While descriptive reviews focus on the methodology, findings, and interpretation of each reviewed study, integrative reviews attempt to find common ideas and concepts from the reviewed material [12] . A similar distinction exists between narrative and systematic reviews: while narrative reviews are qualitative, systematic reviews attempt to test a hypothesis based on the published evidence, which is gathered using a predefined protocol to reduce bias [13] , [14] . When systematic reviews analyse quantitative results in a quantitative way, they become meta-analyses. The choice between different review types will have to be made on a case-by-case basis, depending not just on the nature of the material found and the preferences of the target journal(s), but also on the time available to write the review and the number of coauthors [15] .

Rule 5: Keep the Review Focused, but Make It of Broad Interest

Whether your plan is to write a mini- or a full review, it is good advice to keep it focused 16 , 17 . Including material just for the sake of it can easily lead to reviews that are trying to do too many things at once. The need to keep a review focused can be problematic for interdisciplinary reviews, where the aim is to bridge the gap between fields [18] . If you are writing a review on, for example, how epidemiological approaches are used in modelling the spread of ideas, you may be inclined to include material from both parent fields, epidemiology and the study of cultural diffusion. This may be necessary to some extent, but in this case a focused review would only deal in detail with those studies at the interface between epidemiology and the spread of ideas.

While focus is an important feature of a successful review, this requirement has to be balanced with the need to make the review relevant to a broad audience. This square may be circled by discussing the wider implications of the reviewed topic for other disciplines.

Rule 6: Be Critical and Consistent

Reviewing the literature is not stamp collecting. A good review does not just summarize the literature, but discusses it critically, identifies methodological problems, and points out research gaps [19] . After having read a review of the literature, a reader should have a rough idea of:

• the major achievements in the reviewed field,
• the main areas of debate, and
• the outstanding research questions.

It is challenging to achieve a successful review on all these fronts. A solution can be to involve a set of complementary coauthors: some people are excellent at mapping what has been achieved, some others are very good at identifying dark clouds on the horizon, and some have instead a knack at predicting where solutions are going to come from. If your journal club has exactly this sort of team, then you should definitely write a review of the literature! In addition to critical thinking, a literature review needs consistency, for example in the choice of passive vs. active voice and present vs. past tense.

Rule 7: Find a Logical Structure

Like a well-baked cake, a good review has a number of telling features: it is worth the reader's time, timely, systematic, well written, focused, and critical. It also needs a good structure. With reviews, the usual subdivision of research papers into introduction, methods, results, and discussion does not work or is rarely used. However, a general introduction of the context and, toward the end, a recapitulation of the main points covered and take-home messages make sense also in the case of reviews. For systematic reviews, there is a trend towards including information about how the literature was searched (database, keywords, time limits) [20] .

How can you organize the flow of the main body of the review so that the reader will be drawn into and guided through it? It is generally helpful to draw a conceptual scheme of the review, e.g., with mind-mapping techniques. Such diagrams can help recognize a logical way to order and link the various sections of a review [21] . This is the case not just at the writing stage, but also for readers if the diagram is included in the review as a figure. A careful selection of diagrams and figures relevant to the reviewed topic can be very helpful to structure the text too [22] .

Rule 8: Make Use of Feedback

Reviews of the literature are normally peer-reviewed in the same way as research papers, and rightly so [23] . As a rule, incorporating feedback from reviewers greatly helps improve a review draft. Having read the review with a fresh mind, reviewers may spot inaccuracies, inconsistencies, and ambiguities that had not been noticed by the writers due to rereading the typescript too many times. It is however advisable to reread the draft one more time before submission, as a last-minute correction of typos, leaps, and muddled sentences may enable the reviewers to focus on providing advice on the content rather than the form.

Feedback is vital to writing a good review, and should be sought from a variety of colleagues, so as to obtain a diversity of views on the draft. This may lead in some cases to conflicting views on the merits of the paper, and on how to improve it, but such a situation is better than the absence of feedback. A diversity of feedback perspectives on a literature review can help identify where the consensus view stands in the landscape of the current scientific understanding of an issue [24] .

Rule 9: Include Your Own Relevant Research, but Be Objective

In many cases, reviewers of the literature will have published studies relevant to the review they are writing. This could create a conflict of interest: how can reviewers report objectively on their own work [25] ? Some scientists may be overly enthusiastic about what they have published, and thus risk giving too much importance to their own findings in the review. However, bias could also occur in the other direction: some scientists may be unduly dismissive of their own achievements, so that they will tend to downplay their contribution (if any) to a field when reviewing it.

In general, a review of the literature should neither be a public relations brochure nor an exercise in competitive self-denial. If a reviewer is up to the job of producing a well-organized and methodical review, which flows well and provides a service to the readership, then it should be possible to be objective in reviewing one's own relevant findings. In reviews written by multiple authors, this may be achieved by assigning the review of the results of a coauthor to different coauthors.

Rule 10: Be Up-to-Date, but Do Not Forget Older Studies

Given the progressive acceleration in the publication of scientific papers, today's reviews of the literature need awareness not just of the overall direction and achievements of a field of inquiry, but also of the latest studies, so as not to become out-of-date before they have been published. Ideally, a literature review should not identify as a major research gap an issue that has just been addressed in a series of papers in press (the same applies, of course, to older, overlooked studies (“sleeping beauties” [26] )). This implies that literature reviewers would do well to keep an eye on electronic lists of papers in press, given that it can take months before these appear in scientific databases. Some reviews declare that they have scanned the literature up to a certain point in time, but given that peer review can be a rather lengthy process, a full search for newly appeared literature at the revision stage may be worthwhile. Assessing the contribution of papers that have just appeared is particularly challenging, because there is little perspective with which to gauge their significance and impact on further research and society.

Inevitably, new papers on the reviewed topic (including independently written literature reviews) will appear from all quarters after the review has been published, so that there may soon be the need for an updated review. But this is the nature of science [27] – [32] . I wish everybody good luck with writing a review of the literature.

Acknowledgments

Many thanks to M. Barbosa, K. Dehnen-Schmutz, T. Döring, D. Fontaneto, M. Garbelotto, O. Holdenrieder, M. Jeger, D. Lonsdale, A. MacLeod, P. Mills, M. Moslonka-Lefebvre, G. Stancanelli, P. Weisberg, and X. Xu for insights and discussions, and to P. Bourne, T. Matoni, and D. Smith for helpful comments on a previous draft.

Funding Statement

This work was funded by the French Foundation for Research on Biodiversity (FRB) through its Centre for Synthesis and Analysis of Biodiversity data (CESAB), as part of the NETSEED research project. The funders had no role in the preparation of the manuscript.

WTO / Education / 39 Best Literature Review Examples (Guide with Samples)

39 Best Literature Review Examples (Guide with Samples)

A literature review is a compilation of current knowledge on a particular topic derived from the critical evaluation of different scholarly sources such as books, articles, and publications, which is then presented in an organized manner to relate to a specific research problem being investigated.

It highlights the methods, relevant theories, and gaps in existing research on a particular subject. It can be both a summary and synthesis of information on a specific topic. A summary reiterates key information from scholarly sources, while synthesis is a new interpretation or combination of new and old material. 

As a synthesis, it can outline the intellectual progression of knowledge in a particular field or topic, which might involve stating key debates throughout the advancement period.  

Literature Review Examples

Purpose of Literature Review

Literature reviews have different purposes in scholarly articles, research papers , and books, depending on the discipline at hand. First and foremost, reviews are generally meant to showcase the extensive research carried out by an author on a particular topic and their findings, which will form the foundation of the research. It then summarizes the information to show the author’s familiarity with the topic in question.

The review also demonstrates the relationship between the topic being investigated and other topics that were under consideration. Finally, it outlines the gaps in the previous works of other scholars, which create areas of research.

Literature reviews provide a new interpretation of previous scholarly publications and aim to resolve conflicting studies done in the past. In addition, identifying existing gaps in a particular research area illustrates the starting point of the research.

Literature Review vs. Academic Research Paper

A research paper presents new ideas, arguments, and approaches toward a particular topic. The conclusions of a research paper will be based on the analysis and interpretation of raw data collected by the author and an original study. On the other hand, a literature review is based on the findings of other publications. Thus, the review highlights the author’s understanding of a topic based on the previously conducted research. It is part of a research paper.

Where, When, and Why

The need for a literature review in a publication will vary from one situation to the other and the field/discipline of research. These two factors determine what is expected from the lit review. For example, a scientific review will be more analytical on the methods and results of previous research. In contrast, a philosophical review will be more argumentative, highlighting the discrepancies and correspondences between scholars.

It can either be part of a publication or a stand-alone document. As part of a research publication, it is often placed after the introduction to the topic outlining knowledge about a particular topic and critical sources that formed the foundation of the research. As an individual document, it is prepared by students as part of course study to aid the students in familiarizing themselves with different topics in their field of study.

Lit reviews also guide students to help them synthesize theoretical methodologies and frameworks to adopt in academic research . As a publication, literature reviews are used to document existing information about a topic for readers (other scholars) to go through for whatever reasons they may have. Published studies are essentially helpful to new scholars getting into any field of research.

Types of Literature Review

Before looking into how to write a literature review, it is vital to understand the different types. The type will usually depend on the objective approach of the author.

Common types are:  

Argumentative review

An argumentative review is adopted when the research paper or publication is meant to take a contrarian viewpoint on a particular subject. The review analyses an existing argument, philosophical problem, assumption, or conclusion outlined in different studies with an objective to either support or oppose the argument. 

Integrative review

An integrative review integrates secondary data to develop new perspectives and frameworks on a topic. This is more prevalent in research that does not involve primary data. In addition, integrative reviews are more familiar with social sciences.       

Historical review

Historical reviews are used when scholars or authors place a particular idea, concept, theory, or research in a historical context. It examines the idea, theory, or issue from the first time it was discussed and outlines its evolution throughout a given period.  

Methodological review

Methodological reviews look at how a specific theory, concept, results, or findings were developed. Therefore, methodological reviews will analyze the different methods used by different scholars to arrive at conclusions or knowledge about the topic being investigated.

Some of the methods scholars use in different disciplines to obtain information are interviewing, sampling, practical experiments/data collection, research approaches, critical thinking, social experiments, etc.

Methodological reviews are hence used to discuss tested methods of research and ethics that a researcher should be aware of before undertaking their investigations.  

Systematic review

A systematic review is a more detailed and comprehensive review compared to other types of lit reviews. It highlights any existing research evidence associated with a clearly defined research problem or question. The evidence is collected, analyzed, and reported in a summarized but detailed manner. Systematic reviews are popularly presented as a cause-and-effect structure.

Theoretical review

A theoretical review delves into the different theories regarding a particular issue, challenge, concept, or theory. It identifies their inadequacy in explaining the issue or concept at hand. The review then identifies the relationships between the identified theories, and the degree of research done and poses novel hypotheses to be investigated.

Organization of a Literature Review

How an author organizes a literature review will depend on what they aim to achieve. As a consequence, there are multiple ways of organizing it which are discussed below:

Chronological 

A chronological format outlines knowledge on a particular topic based on when the scholarly source of information was published. Starting with the earliest followed up to the most recent chronological order. This format should be used if there is a clear chronological order in the development of the information; therefore, it will not be applicable in some cases. Instead, key turning points, patterns, and events that impacted the direction of the knowledge should be outlined.  

By publication

It can be organized in the scholarly publications reviewed by the author, scholar, or student. The by-publication format should only improve the review and facilitate what the author aims to accomplish. 

Scholars or students can adopt a dominant trend in research, such as history, developmental stages, steps involved in a process, etc.

Methodological

A methodological format is based on the methods used by the researcher. Thus, the order of contents in the lit review will depend on the method they will use to carry out their research, knowledge obtained from the first method appears first, and the rest of the information follows in the same order according to the methods used by the author.  

Literature reviews organized in a thematic format revolve around the subject being investigated in no order. It is, therefore, ordinarily up to the researcher or author to determine how they intend to outline the information. A thematic format will crossover from one period and publication to another, but can sometimes incorporate a chronological order.

Theoretical

Literature reviews organized in a theoretical format have their contents organized in an abstract framework established by the author to discuss different concepts, theories, and concepts and how they relate to the research at hand.

Additional sections

Depending on the objective, other sections do not fit under conventional lit review formats that one may need to add. Below are some of the sections that authors or students can include in the lit review:

• Current situation: The review can have information about the current state of things regarding the topic at hand to facilitate further understanding.
• History: Researchers can summarize the subject under investigation, literature, or concept if the review is not already in chronological format.
• Selection methods: Lit reviews are known to outline the methods or criteria used in selecting the way to present information and scholarly sources referenced in the review.
• Standards: it can also include the standards used in choosing the format to present information in the review and the scholarly literature used in the research.
• Further questions for research: The review can include questions emanating from the review and how the researcher will further explore their research to address the queries raised.

Literature Review Samples

Considerations Before Writing a Literature Review

Preparation is essential when it comes to writing. The objective should be to come up with a review that satisfactorily explores the topic being discussed. The following considerations are steps towards that if incorporated into the writing process:

Authors should seek clarification from mentors or supervisors before commencing the writing process. First, determine what is expected from the lit review. The type and number of sources to be used, the assignment (summarize, synthesize, or critique), and the type of information provided should be clear.

Find models

You should review literature from other authors in the same discipline and evaluate how those authors presented their lit reviews. Previous lit reviews can be used as guides that point authors in the right direction when writing their lit reviews.

Narrow your topic

It is always advantageous to narrow down the research topic to a specific area of research; that way, the number of sources can also be reduced. Even though conducting research will usually involve extensive research on all available materials about a particular topic, having a well-defined topic simplifies the task at hand.

Current sources

Determine if the research project or discipline ought to be based on the most recent findings or information. It is common for knowledge to become obsolete, especially in disciplines where discoveries and new inventions are made fast. If the lit review should be based on current knowledge, limit the sources to the most recent literature. Some disciplines will typically have a limit on how old the sources should be.  

How to Write a Literature Review (Expert Guide)

Once all pre-writing considerations have been taken into account, it is time to write the document. At this point, you should already be aware of what you wish to accomplish with the literature review, and the steps to writing an exemplary lit review are mentioned below:

Problem formulation

First and foremost, clearly define the topic (research area) to be investigated. For students, this will sometimes be given as an assignment. However, the research could be an academic project, which means that the author has to come up with the problem and define it themselves.

Search for relevant studies

Once the problem is clearly expressed, you should search for studies related to the topic, concept, theory, or idea and questions surrounding the topic. Most stand-alone lit reviews will generally attempt to answer a more concentrated question. On the internet, literature can be searched using keywords related to the research area. In addition to keywords, include vital variables such as synonyms and associated terms. The inclusion of Boolean operators and, or not, is also used to narrow down results to more specific publications.

Familiar sources for publications are:

• Google Scholar
• Library catalogue
• Econ lit (economics)
• Project Muse (humanities and social sciences)
• Inspec (physics, engineering, and computer science )
• Medline (life sciences and biomedicine)

Before selecting relevant studies, go through their abstract and determine if they fit the scope needed in the investigation. Use a list to note down any chosen works. Select landmark sources in the discipline.

Evaluation of sources/data

The next step is the evaluation stage . Evaluation involves a lot of reading. Evaluation can be done in two stages; overall skimming and thorough reading. During the second stage of this step, be critical, ask questions, and take many notes.

Some of the questions authors or researchers should ask themselves are:

• What is the author’s objective? What problem, concept, or theory are they putting across?
• What are the main concepts?
• What are the methodologies used by the author to arrive at the results and conclusions?
• What are the strengths and weaknesses of the results and conclusions?

Use credible sources. Most cited sources are preferred as they indicate their influence in the field. Also, keep track of the citations to be later incorporated.

Identify themes, debates, and gaps

While reading the sources, identify key patterns, themes, debates/arguments, and gaps in each literature. These elements help tie the literature to the topic under investigation. Look for consistent patterns, themes, questions, challenges, methods, and inconsistencies in the same. Consistencies present critical information for consideration, while inconsistencies present opportunities for research areas.

Outline the structure

Formatting is part and parcel of a well-written work. Selecting the structure should start by creating an outline with all the information that will go into the lit review, then consider the different types of structures and select the most suitable. Next, take the basic structure of the introduction, body, and conclusion into consideration and start work from there. 

Analysis and interpretation 

Lastly, perform an in-depth analysis and interpretation of the information obtained from the scholarly research and put it into writing. The summarized, synthesized, and critically evaluated information is then written down in well-structured paragraphs that follow the chosen structure. Transition words are used to draw comparisons, connections, and contrasts.

Format 

Ordinarily, a literature review will have three key components: introduction, body, and conclusion. These components should appear in the document in the following order:

Introduction

An introduction should inform the reader which topic is being studied. It gives the reader an overall idea of the purpose and focus of the document. The introduction lets the reader know beforehand the key things that will be highlighted in the document. Therefore, the introduction should be brief and precise.

The next item is the body, where the primary purpose of the lit review is fulfilled. The body should take critical information from all the sources used and comprehensively present them. This is where the author reports the extensive analysis and interpretation results that they gathered from all the sources they reviewed. The body should be categorized into themes, ideas, and concepts within the main topic.

Lastly, a summary of what the lit review entails should be provided as a conclusion. The critical points obtained from examining the sources should be written down and linked to the primary subject of the review. Key points are those that have the most outstanding contribution to the research.

Studies used should be screened based on provenance (author’s credentials or credibility), methodology, objectivity, persuasiveness, and value related to the topic at hand.

Guidelines for Writing a Literature Review

To improve the delivery of information, there are certain elements that authors can incorporate. They are:

Use evidence

The lit review’s findings, interpretations, and general contents should be based on actual evidence or credible literature. Using citations is evidence of authentic information.

Be selective

There will always be a lot of information available from the reviewed sources. Authors should therefore be selective and discuss the key points that focus on the topic. Not all information must be included in the review.  

Word-for-word quotes are acceptable . This is even more so if a critical point or author-specific terminology or knowledge cannot be paraphrased. Quotes should, however, be used sparingly.

Summarize and synthesize

The information obtained from the sources should be summarized, and the author should use it to synthesize new arguments, concepts, or ideas related to their research.

Keep your voice

The literature review should reflect the author’s voice as it is a review of other people’s works. This can be done by starting and ending the paragraphs with an original voice, ideas, and wordings.

Use caution while paraphrasing

Any paraphrased information should be conveyed accurately and in the author’s words. A citation must always be done, even when paraphrasing has been done.

Proofread before submitting or publishing. Go through the document a few times and make the necessary changes. The review should be within the applicable guidelines. Check for language and any other errors and edit accordingly.

Do’s and Don’ts for a Literature Review 

Every researcher wants to introduce their readers to a particular topic in an informative and engaging manner. Below are tips that can be used to this effect.

The following things should be opted by the researcher when writing a lit review:

• Find a focus: Authors should take a direction, idea, concept, or argument and stick to it. The information conveyed should then be made to align with the chosen point of focus. Thus, the review is not simply a list of analyzed sources, but a detailed summary of how different sources have a focal point (intertwined).
• Well-chosen sources: The quality of the information will, to a great extent, be determined by the quality of sources used. Therefore, take time to select suitable sources and more value will be added to the review.
• Create an annotated bibliography: Creating an annotated bibliography is recommended as one reads their sources. The bibliography keeps track of sources and takes notes. This information can be used when writing the final lit review.
• Synthesize research: Information obtained from the relevant studies should be combined to come up with new or original ideas. You should present a new domain based on previous sources’ knowledge, not just restating the information.
• Argumentative approach: Well-written literature reviews will often argue to support an author’s stance on a particular topic. The author can choose to address how the author’s work is filling a particular gap or support one of the scholar’s arguments and perception towards a particular topic. However, this argumentative approach will not work in all situations; it is usually discipline-specific. 
• Convey it to the reader: It should let the reader know the document’s main idea, concept, or argument. This can be done by including a simple statement that compels the reader to think precisely and know what to expect.
• Break out your disciplinary box: The research will often be multi-disciplinary. Literature reviews should then collect interdisciplinary information from multiple sources as they add novel dynamics to the topic under investigation. It should be noted that this does not imply that the researcher should substitute the literature from the topic’s discipline with that from other disciplines. This is usually an improvement strategy that adds substance to the review.
• Look for repeated patterns: Be attentive to pick out repeated ideas, findings, and concepts from different scholars as they will often illustrate agreed research dead-end or a scholarly conclusion.
• Don’t just review for content: When reviewing the literature, examine the content and other writing and presentation techniques. Look out for unique ways information has been presented, methods used, consistent citations, and non-textual elements such as graphs, and figures used to present information. In addition, the researcher identifies theories used to predict, explain, or understand phenomena within the discipline.
• Search Web of Science and Google Scholar: Conduct citation tracking about the leading scholars already identified in the search process. Scholars cited by multiple scholars outside the principal discipline will generally indicate that there are no new publications on the topic.

The following don’ts should be avoided:

• Do not select studies that are not directly related to the topic being investigated.
• Avoid rushing when identifying and selecting sources to use to research the problem.
• Avoid the use of secondary analytical sources. Instead, opt to use sources with primary research studies or data. Secondary analytical sources will often cite primary analytical sources; research should refer to them instead.
• Do not accept other scholarly findings, theories, or interpretations without critically examining and critiquing them.
• Researchers should not outline the search procedures used to identify scholarly sources for reviewing purposes.
• Avoid including isolated statistical findings without illustrating how they were arrived at using chi-squared or meta-analytic methods.
• Do not review studies that only validate the assumptions, stances, and concepts of your thesis; consider contradicting works with alternative and conflicting stances.

Frequently Asked Questions

It is written by researchers, authors, and students who must study literature to gather knowledge on a particular topic they are interested in.

It should be placed right after the introduction of the dissertation. It places the research in a scholarly context by summarizing existing knowledge on the particular topic.

Researchers and authors are not limited in terms of how many sources they can review. Students will usually have a given number of sources to review as an assignment. However, the number of sources referenced in a lit review will vary from one topic or discipline to the other. Some topics have a vast catalog of available sources, while others have minimal sources, especially emerging issues. It is, however, advised that each key point discussed should have at least 2-3 references/sources. For example, a 10-page lit review will have an average of 30 references.

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Worthy Literature Review Topics for Presenting a Cogent Work

What topics for literature review to consider to outshine.

Studying at college or university, planning to build up a final research paper, preparing for classes, creating a graduate project, or working on a capstone project always involves dealing with plentiful literature and analyzing reports on many topics. A literature review is an academic writing that unites a student’s knowledge of a defined topic, and it’s up to them to pick winning literature review topics to prove their expertise in the chosen field, as well as show the ability to analyze and compare several sources.

As usual, a literature review presents a consistent overview of the used material, the main points of the research, the author’s critical assessment of the topic, covers the existing theories, fills the informational gaps, and expresses a personal point of view. It can be a standalone piece of academic writing based on the literature on a specific topic or be an integral part or separate section of a paper or research project.

Speaking about the intentions in a literature review political science or another, a source report on the topic is created. It’s important to remember a student should present a well-reasoned scientific review on the topic or a debate but not enlist all literature they use, so it looks like a library collection. When dealing with a dissertation or a term paper, creating a decent review that will summarize the whole literature is one of the most important tasks after selecting a fitting topic.

So, it’s up to a student to submit a well-reasonable, cogent literature review to evidence their knowledge of the chosen topic. There are several purposes why you should prepare a review of the used literature:

• Provide a critical analysis of a topic and define a frame of questions that should be resolved.
• Showing your familiarity with the topic and understanding of the state of research in the field.
• Determining the gaps compared to the prior investigations you can cover in your research.
• Know the previous literature regarding the chosen topic, summarize theories, making outcomes to present your groundwork and exploration.

When writing your literature review, it’s necessary to concentrate on your literature review and pick proper sources to cover the topic fully by focusing on the gaps that weren’t presented before by other writers. To gain the needed results of a literature review, a student should highlight scientific controversies and try to solve them by offering their solutions and viewpoints on the topic.

Worthy Literature Review Topics Psychology: Cover Issues Rationally

For a vast majority of students choosing good literature review topics for psychology research can be even more difficult than writing it. Indeed, making the first step in the research process is always daunting and can waste time greatly without gaining particular results from the literature review on a specific topic. Therefore, when thinking about a topic for your literature review in the psychology field you’d like to investigate, you should consider the previous works to avoid repetition and demonstrate your interest in the field.

Since there are diverse branches of psychology, you need to think about what field is more interesting to you than others and then consider literature review topic ideas. Are you interested in a literature review on topics related to health psychology, developmental, or occupational psychology? Can’t determine what topic you want to investigate in your literature review? Then our service offers you a list of topics for a literature review to choose from. Nevertheless, for your literature review, consider those topics that appeal to you most, and you have a good background in:

• The effect of praise and reward on a person’s motivation and achievements.
• Addiction to social media: that’s why children become aggressive and rude.
• Frequent anxiety attacks as the first sign of a psychological disorder.
• Gender role in modern society: is there any discrimination?
• How to manage stress and relax in a stressful environment?
• Sports influence human behavior and psychological state.

So, finally, you choose the literature review topics psychology offers and can move further with your investigation. Now it’s important to arrange a research paper wisely to cover the maximum possible questions by following the correct structure. Like other academic works, a good literature review on psychology should have an introduction, main part, and conclusion.

A literature review should be well-structured, logical, and cover the topic wholly. Its parts should be interconnected by preserving a single and unique idea and outlining a strong thesis statement showing your final attitude to literature review topics in education or other fields.

List of Literature Review Topics Examples That Are Worth Attention

No matter what area you deal with in your literature review: education, economics, medicine, sciences, philology, architecture, or engineering, you should define a topic for your research to create a decent review that will include all aspects that matter and cover these issues.

Numerous topics make sense to people. There are endless questions regarding each of them. So, it’s vital to define what aspects haven’t been explored yet, and you can use this opportunity to fill the gap and conduct a well-grounded investigation. Let’s have a look at some of the current literature review topics examples you can find worthy:

• Bulimia and anorexia: are these eating disorders a consequence of psychological issues?
• The relationship between economic prosperity and unemployment rate.
• Applying 3D technology in modern civil engineering & construction.
• Blood donation process: what you should know before the donation.
• Data mining technology in boosting business processes.
• The benefits of installing solar panels.

All in all, it’s a challenging task to select good topics for literature review, so it’ll depict the critical issues of your research and highlight the most prominent works in the chosen field. When selecting a proper topic, take into account it shouldn’t be too broad or narrow. There should be aspects that haven’t been discussed before in literature reviews.

A perfect review of the literature should interpret the existing research and explicate your own idea, so together, they create a unique cogent text. Another highly important aspect of a literature review is using authoritative sources that can back up your statements. This is an integral part of a high-quality research review because you show what contributions were made before and apply them to your critical analysis.

Literature Review Topic Examples to Build Your Work Easily

A standard review of sources consists of the same parts as an ordinary essay or a term paper: first, you introduce the chosen topic by enlisting points you’ll discuss in your work. Second, you prepare a critical assessment of the key issues, mention ways to resolve and provide your alternative to fix them, and finally, you summarize your statements with a persuasive literature review conclusion .

It’s necessary to say there’s no defined formula on how to build a literature review correctly. The structure of the literature review on your topic depends on the scientific area a student investigates. It also relates to the scientific aims and arguments a writer displays to support or disprove.

It’s recommended to include the following patterns to organize the literature review:

• Chronological development of the examined topic.
• Concepts that were used primarily to cover the gaps.
• Key definitions that were mentioned in the research.
• Outline the debates around the raised issue.
• Provide statements for and against the major problem.
• Key authors and works that focus on the topic selected.
• Mention the methodology used to conduct research.

Remember, the most important thing about a literature review on any topic is to present your stance based on the works of reputable researchers and scientists. So, concentrate your attention on the literature that fits your viewpoints and thereby strengthen your review on the topic you’ve chosen.

Consider Good Literature Review Topics to Stand Out From the Rest

If a student hesitates about what theme to choose for their term paper, nowadays, there are lots of literature review topic examples that are worth attention. To determine what topic is more relevant to the studying field and a student’s major, they should do a detailed preliminary literature review of sources and define whether it’s enough to conduct an elaborate and robust work.

Struggling with finding literature review essay topics? Our literature review services  will gladly help you brainstorm the most appropriate ones to get high grades and prove your competence in the specialization field. To pick a good theme and succeed in writing a literature review, it’s also important to possess specific skills that facilitate the whole writing process. Hence, it’ll be easier for students with a particular skill set to compose a reasonable and measurable review of the used literature on the topic:

• Ability to think critically.
• Analyze the information deeply.
• Outline main tasks, goals, and proofs.
• Be detail-oriented and pick up the most vital info.
• Define key points of the research to render the core sense.

Additionally, to find good topics for a literature review, it’s possible to visit some online libraries, guides, and databases with diverse scientific works and publications that will back up your exploratory studies.

To show up against others, it’s better to pay attention to the topics that relate to the advanced technologies that can be applied in numerous areas, i.e., topics for literature review in education, medicine, business, engineering, science, etc. The IT sector is rapidly spreading throughout the entire area and facilitates better and stronger competition rates. Thus, your literature review will have success at least by choosing a highly competitive topic.

Top Literature Review Nursing Topics: Meet Demands Without a Hitch

Being one of the most expanded studying areas, a research paper on nursing requires sufficient time to build up a well-structured & thought-out paper and a consistent report of literature sources accordingly. To impress tutors and scientific supervisors, we offer you to select one of the following literature review topic examples that can relate to the next issues:

• Cyberbullying and the tendency to commit suicide among teens.
• Teamwork as a motivator for achieving greater results at work.
• Parental separation: its harsh effect on a child’s mental health.
• Meditation as a useful way to fight depression and stress.
• Depression and its influence on working efficiency.
• How to handle pressure and stay cool-headed?
• Abusive relationships between teenagers.
• Autistic children and their socialization.

It’s a well-known fact that preparing a literature review on psychology means sleepless nights for the majority of students. Choosing fitting literature review nursing topics takes lots of time and effort to arrange a paper correctly without losing the key idea. Although, selecting and writing a review of the used literature on the topic isn’t as complicated as you may think.

The biggest problem with nursing literature review topics selection is to tune in the process and analyze tens of publications and articles on the related topic. Sure, it’s impossible to read all the literature on the topic you’ve picked. You’d rather prepare a list of the most fitting topics and make notes about the major points mentioned there. By reviewing the main concepts and methods and outlining topics and outcomes, you’ll be able to formulate your final results and then compare them with the prior literature.

To conclude, selecting appropriate topics for literature review of the paper, a student should have a solid background in the chosen subfield to know where and what to search to compile a persuasive and facts-based review. The truth is that choosing a good topic is half of success, and the last thing you need to do is to write it considering the requirements for the literature review.

Literature Review Guide: Examples of Literature Reviews

• What is a Literature Review?
• How to start?
• Picking your research question and searching
• Search strategies and Databases
• How to organise the review
• Examples of Literature Reviews
• Library summary

All good quality journal articles will include a small Literature Review after the Introduction paragraph.  It may not be called a Literature Review but gives you an idea of how one is created in miniature.

Sample Literature Reviews as part of a articles or Theses

• Hackett, G and Melia, D . The hotel as the holiday/stay destination:trends and innovations. Presented at TRIC Conference, Belfast, Ireland- June 2012 and EuroCHRIE Conference

Links to sample Literature Reviews from other libraries

• Sample literature reviews from University of West Florida

Irish Theses

• Phillips, Martin (2015) European airline performance: a data envelopment analysis with extrapolations based on model outputs. Master of Business Studies thesis, Dublin City University.
• The customers’ perception of servicescape’s influence on their behaviours, in the food retail industry : Dublin Business School 2015
• Coughlan, Ray (2015) What was the role of leadership in the transformation of a failing Irish Insurance business. Masters thesis, Dublin, National College of Ireland.
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• URL: https://ait.libguides.com/literaturereview

Literature Review Guide

The literature review, database search tips.

• Back to Research Help
• What is a Literature Review?
• Plan Your Literature Review
• Identify a Research Gap
• Define Your Research Question
• Search the Literature
• Analyze Your Research Results
• Manage Research Results
• Write the Literature Review

What is a Literature Review?  What is its purpose?

The purpose of a literature review is to offer a  comprehensive review of scholarly literature on a specific topic along with an  evaluation of the strengths and weaknesses of authors' arguments . In other words, you are summarizing research available on a certain topic and then drawing conclusions about researchers' findings. To make gathering research easier, be sure to start with a narrow/specific topic and then widen your topic if necessary.

A thorough literature review provides an accurate description of current knowledge on a topic and identifies areas for future research.  Are there gaps or areas that require further study and exploration? What opportunities are there for further research? What is missing from my collection of resources? Are more resources needed?

It is important to note that conclusions described in the literature you gather may contradict each other completely or in part.  Recognize that knowledge creation is collective and cumulative.  Current research is built upon past research findings and discoveries.  Research may bring previously accepted conclusions into question.  A literature review presents current knowledge on a topic and may point out various academic arguments within the discipline.

What a Literature Review is not

• A literature review is not an annotated bibliography .  An annotated bibliography provides a brief summary, analysis, and reflection of resources included in the bibliography.  Often it is not a systematic review of existing research on a specific subject.  That said, creating an annotated bibliography throughout your research process may be helpful in managing the resources discovered through your research.
• A literature review is not a research paper .  A research paper explores a topic and uses resources discovered through the research process to support a position on the topic.  In other words, research papers present one side of an issue.  A literature review explores all sides of the research topic and evaluates all positions and conclusions achieved through the scientific research process even though some conclusions may conflict partially or completely.

From the Online Library

SAGE Research Methods is a web-based research methods tool that covers quantitative, qualitative and mixed methods. Researchers can explore methods and concepts to help design research projects, understand a particular method or identify a new method, and write up research. Sage Research Methods focuses on methodology rather than disciplines, and is of potential use to researchers from the social sciences, health sciences and other research areas.

• Sage Research Methods Project Planner - Reviewing the Literature View the resources and videos for a step-by-step guide to performing a literature review.

The Literature Review: Step by Step

Follow this step-by-step process by using the related tabs in this Guide.

• Define your Research question
• Analyze the material you’ve found
• Manage the results of your research
• Write your Review

Getting Started

Consider the following questions as you develop your research topic, conduct your research, and begin evaluating the resources discovered in the research process:

• What is known about the subject?
• Are there any gaps in the knowledge of the subject?
• Have areas of further study been identified by other researchers that you may want to consider?
• Who are the significant research personalities in this area?
• Is there consensus about the topic?
• What aspects have generated significant debate on the topic?
• What methods or problems were identified by others studying in the field and how might they impact your research?
• What is the most productive methodology for your research based on the literature you have reviewed?
• What is the current status of research in this area?
• What sources of information or data were identified that might be useful to you?
• How detailed? Will it be a review of ALL relevant material or will the scope be limited to more recent material, e.g., the last five years.
• Are you focusing on methodological approaches; on theoretical issues; on qualitative or quantitative research?

What is Academic Literature?

What is the difference between popular and scholarly literature?

To better understand the differences between popular and scholarly articles, comparing characteristics and purpose of the publications where these articles appear is helpful.

Popular Article (Magazine)

• Articles are shorter and are written for the general public
• General interest topics or current events are covered
• Language is simple and easy to understand
• Source material is not cited
• Articles often include glossy photographs, graphics, or visuals
• Articles are written by the publication's staff of journalists
• Articles are edited and information is fact checked

Examples of magazines that contain popular articles:

Scholarly Article (Academic Journal)

• Articles are written by scholars and researchers for academics, professionals, and experts in the field
• Articles are longer and report original research findings
• Topics are narrower in focus and provide in-depth analysis
• Technical or scholarly language is used
• Source material is cited
• Charts and graphs illustrating research findings are included
• Many are  "peer reviewed"  meaning that panels of experts review articles submitted for publication to ensure that proper research methods were used and research findings are contributing something new to the field before selecting for publication.

Examples of academic journals that contain scholarly articles:

Define your research question

Selecting a research topic can be overwhelming.  Consider following these steps:

1.  Brainstorm  research topic ideas

      - Free write: Set a timer for five minutes and write down as many ideas as you can in the allotted time

      -  Mind-Map  to explore how ideas are related

2.  Prioritize  topics based on personal interest and curiosity

3.  Pre-research

      - Explore encyclopedias and reference books for background information on the topic

      - Perform a quick database or Google search on the topic to explore current issues. 

4.  Focus the topic  by evaluating how much information is available on the topic

         - Too much information?  Consider narrowing the topic by focusing on a specific issue 

         - Too little information?  Consider broadening the topic 

5.  Determine your purpose  by considering whether your research is attempting to:

         - further the research on this topic

         - fill a gap in the research

         - support existing knowledge with new evidence

         - take a new approach or direction

         - question or challenge existing knowledge

6.  Finalize your research question

NOTE:  Be aware that your initial research question may change as you conduct research on your topic.

Searching the Literature

Research on your topic should be conducted in the academic literature.  The  Rasmussen University Online Library contains subject-focused databases that contain the leading academic journals in your programmatic area.

Consult the  Using the Online Library video tutorials  for information about how to effectively search library databases.

Watch the video below for tips on how to create a search statement that will provide relevant results

Need help starting your research?  Make a  research appointment with a Rasmussen Librarian .

TIP:  Document as you research.  Begin building your references list using the citation managers in one of these resources:

• APA Academic Writer
• NoodleTools

Recommended programmatic databases include:

Data Science

Coverage includes computer engineering, computer theory & systems, research and development, and the social and professional implications of new technologies. Articles come from more than 1,900 academic journals, trade magazines, and professional publications.

Provides access to full-text peer-reviewed journals, transactions, magazines, conference proceedings, and published standards in the areas of electrical engineering, computer science, and electronics. It also provides access to the IEEE Standards Dictionary Online. Full-text available.

Computing, telecommunications, art, science and design databases from ProQuest.

Healthcare Management

Articles from scholarly business journals back as far as 1886 with content from all disciplines of business, including marketing, management, accounting, management information systems, production and operations management, finance, and economics. Contains 55 videos from the Harvard Faculty Seminar Series, on topics such as leadership, sustaining competitive advantage, and globalization. To access the videos, click "More" in the blue bar at the top. Select "Images/ Business Videos." Uncheck "Image Quick View Collection" to indicate you only wish to search for videos. Enter search terms.

Provides a truly comprehensive business research collection. The collection consists of the following databases and more: ABI/INFORM Complete, ProQuest Entrepreneurship, ProQuest Accounting & Tax, International Bibliography of Social Sciences (IBSS), ProQuest Asian Business and Reference, and Banking Information Source.

The definitive research tool for all areas of nursing and allied health literature. Geared towards the needs of nurses and medical professionals. Covers more than 750 journals from 1937 to present.

HPRC provides information on the creation, implementation and study of health care policy and the health care system. Topics covered include health care administration, economics, planning, law, quality control, ethics, and more.

PolicyMap is an online mapping site that provides data on demographics, real estate, health, jobs, and other areas across the U.S. Access and visualize data from Census and third-party records.

Human Resources

Articles from all subject areas gathered from more than 11,000 magazines, journals, books and reports. Subjects include astronomy, multicultural studies, humanities, geography, history, law, pharmaceutical sciences, women's studies, and more. Coverage from 1887 to present. Start your research here.

Cochrane gathers and summarizes the best evidence from research to help you make informed choices about treatments. Whether a doctor or nurse, patient, researcher or student, Cochrane evidence provides a tool to enhance your healthcare knowledge and decision making on topics ranging from allergies, blood disorders, and cancer, to mental health, pregnancy, urology, and wounds.

Health sciences, biology, science, and pharmaceutical information from ProQuest. Includes articles from scholarly, peer-reviewed journals, practical and professional development content from professional journals, and general interest articles from magazines and newspapers.

Joanna Briggs Institute Academic Collection contains evidence-based information from across the globe, including evidence summaries, systematic reviews, best practice guidelines, and more. Subjects include medical, nursing, and healthcare specialties.

Comprehensive source of full-text articles from more than 1,450 scholarly medical journals.

Articles from more than 35 nursing journals in full text, searchable as far back as 1995.

Analyzing Your Research Results

You have completed your research and discovered many, many academic articles on your topic.  The next step involves evaluating and organizing the literature found in the research process.

As you review, keep in mind that there are three types of research studies:

• Quantitative
• Qualitative 
• Mixed Methods

Consider these questions as you review the articles you have gathered through the research process:

1. Does the study relate to your topic?

2. Were sound research methods used in conducting the study?

3. Does the research design fit the research question? What variables were chosen? Was the sample size adequate?

4. What conclusions were drawn?  Do the authors point out areas for further research?

Reading Academic Literature

Academic journals publish the results of research studies performed by experts in an academic discipline.  Articles selected for publication go through a rigorous peer-review process.  This process includes a thorough evaluation of the research submitted for publication by journal editors and other experts or peers in the field.  Editors select articles based on specific criteria including the research methods used, whether the research contributes new findings to the field of study, and how the research fits within the scope of the academic journal.  Articles selected often go through a revision process prior to publication.

Most academic journal articles include the following sections:

• Abstract    (An executive summary of the study)
• Introduction  (Definition of the research question to be studied)
• Literature Review  (A summary of past research noting where gaps exist)
• Methods  (The research design including variables, sample size, measurements)
• Data   (Information gathered through the study often displayed in tables and charts)
• Results   (Conclusions reached at the end of the study)
• Conclusion   (Discussion of whether the study proved the thesis; may suggest opportunities for further research)
• Bibliography  (A list of works cited in the journal article)

TIP:  To begin selecting articles for your research, read the   highlighted sections   to determine whether the academic journal article includes information relevant to your research topic.

Step 1: Skim the article

When sorting through multiple articles discovered in the research process, skimming through these sections of the article will help you determine whether the article will be useful in your research.

1.  Article title   and subject headings assigned to the article

2.   Abstract

3.   Introduction

4.  Conclusion

If the article fits your information need, go back and  read the article thoroughly.

TIP:  Create a folder on your computer to save copies of articles you plan to use in your thesis or research project.  Use  NoodleTools  or  APA Academic Writer  to save APA references.

Step 2: Determine Your Purpose

Think about how you will evaluate the academic articles you find and how you will determine whether to include them in your research project.  Ask yourself the following questions to focus your search in the academic literature:

• ​Are you looking for an overview of a topic? an explanation of a specific concept, idea, or position?
• Are you exploring gaps in the research to identify a new area for academic study?
• Are you looking for research that supports or disagrees with your thesis or research question?
• Are you looking for examples of a research design and/or research methods you are considering for your own research project?

Step 3: Read Critically

Before reading the article, ask yourself the following:

• What is my research question?  What position am I trying to support?
• What do I already know about this topic?  What do I need to learn?
• How will I evaluate the article?  Author's reputation? Research design? Treatment of topic? 
• What are my biases about the topic?

As you read the article make note of the following:

• Who is the intended audience for this article?
• What is the author's purpose in writing this article?
• What is the main point?
• How was the main point proven or supported?  
• Were scientific methods used in conducting the research?
• Do you agree or disagree with the author? Why?
• How does this article compare or connect with other articles on the topic?
• Does the author recommend areas for further study?
• How does this article help to answer your research question?

Managing your Research

Tip:  Create APA references for resources as you discover them in the research process

Use APA Academic Writer or NoodleTools to generate citations and manage your resources.  Find information on how to use these resources in the Citation Tools Guide .

Writing the Literature Review

Once research has been completed, it is time to structure the literature review and begin summarizing and synthesizing information.  The following steps may help with this process:

• Chronological
• By research method used
• Explore contradictory or conflicting conclusions
• Read each study critically
• Critique methodology, processes, and conclusions
• Consider how the study relates to your topic

• Description of public health nursing nutrition assessment and interventions for home‐visited women. This article provides a nice review of the literature in the article introduction. You can see how the authors have used the existing literature to make a case for their research questions. more... less... Horning, M. L., Olsen, J. M., Lell, S., Thorson, D. R., & Monsen, K. A. (2018). Description of public health nursing nutrition assessment and interventions for home‐visited women. Public Health Nursing, 35(4), 317–326. https://doi.org/10.1111/phn.12410
• Improving Diabetes Self-Efficacy in the Hispanic Population Through Self-Management Education Doctoral papers are a good place to see how literature reviews can be done. You can learn where they searched, what search terms they used, and how they decided which articles were included. Notice how the literature review is organized around the three main themes that came out of the literature search. more... less... Robles, A. N. (2023). Improving diabetes self-efficacy in the hispanic population through self-management education (Order No. 30635901). Available from ProQuest Dissertations & Theses Global: The Sciences and Engineering Collection. https://www.proquest.com/dissertations-theses/improving-diabetes-self-efficacy-hispanic/docview/2853708553/se-2
• Exploring mediating effects between nursing leadership and patient safety from a person-centred perspective: A literature review Reading articles that publish the results of a systematic literature review is a great way to see in detail how a literature review is conducted. These articles provide an article matrix, which provides you an example of how you can document information about the articles you find in your own search. To see more examples, include "literature review" or "systematic review" as a search term. more... less... Wang, M., & Dewing, J. (2021). Exploring mediating effects between nursing leadership and patient safety from a person‐centred perspective: A literature review. Journal of Nursing Management, 29(5), 878–889. https://doi.org/10.1111/jonm.13226
• Boolean Operators
• Keywords vs. Subjects
• Creating a Search String
• Library databases are collections of resources that are searchable, including full-text articles, books, and encyclopedias.
• Searching library databases is different than searching Google. Best results are achieved when using Keywords linked with Boolean Operators . 
• Applying Limiters such as full-text, publication date, resource type, language, geographic location, and subject help to refine search results.
• Utilizing Phrases or Fields , in addition to an awareness of Stop Words , can focus your search and retrieve more useful results.
• Have questions? Ask a Librarian

Boolean Operators connect keywords or concepts logically to retrieve relevant articles, books, and other resources.  There are three Boolean Operators:

Using AND 

• Narrows search results
• Connects two or more keywords/concepts
• All keywords/concepts connected with "and" must be in an article or resource to appear in the search results list

Venn diagram of the AND connector

Example: The result list will include resources that include both keywords -- "distracted driving" and "texting" -- in the same article or resource, represented in the shaded area where the circles intersect (area shaded in purple).

• Broadens search results ("OR means more!")
• Connects two or more synonyms or related keywords/concepts
• Resources appearing in the results list will include any of the terms connected with the OR connector

Venn diagram of the OR connector

Example:  The result list will include resources that include the keyword "texting" OR the keyword "cell phone" (entire area shaded in blue); either is acceptable.

• Excludes keywords or concepts from the search
• Narrows results by removing resources that contain the keyword or term connected with the NOT connector
• Use sparingly

Venn diagram of the NOT connector

Example: The result list will include all resources that include the term "car" (green area) but will exclude any resource that includes the term "motorcycle" (purple area) even though the term car may be present in the resource.

A library database searches for keywords throughout the entire resource record including the full-text of the resource, subject headings, tags, bibliographic information, etc.

• Natural language words or short phrases that describe a concept or idea
• Can retrieve too few or irrelevant results due to full-text searching (What words would an author use to write about this topic?)
• Provide flexibility in a search
• Must consider synonyms or related terms to improve search results
• TIP: Build a Keyword List

Example:  The keyword list above was developed to find resources that discuss how texting while driving results in accidents.  Notice that there are synonyms (texting and "text messaging"), related terms ("cell phones" and texting), and spelling variations ("cell phone" and cellphone).  Using keywords when searching full text requires consideration of various words that express an idea or concept.

• Subject Headings
• Predetermined "controlled vocabulary" database editors apply to resources to describe topical coverage of content
• Can retrieve more precise search results because every article assigned that subject heading will be retrieved.
• Provide less flexibility in a search
• Can be combined with a keyword search to focus search results.
• TIP: Consult database subject heading list or subject headings assigned to relevant resources

Example 1: In EBSCO's Academic Search Complete, clicking on the "Subject Terms" tab provides access to the entire subject heading list used in the database.  It also allows a search for specific subject terms.

Example 2:  A subject term can be incorporated into a keyword search by clicking on the down arrow next to "Select a Field" and selecting "Subject Terms" from the dropdown list.  Also, notice how subject headings are listed below the resource title, providing another strategy for discovering subject headings used in the database.

When a search term is more than one word, enclose the phrase in quotation marks to retrieve more precise and accurate results.  Using quotation marks around a term will search it as a "chunk," searching for those particular words together in that order within the text of a resource. 

"cell phone"

"distracted driving"

"car accident"

TIP: In some databases, neglecting to enclose phrases in quotation marks will insert the AND Boolean connector between each word resulting in unintended search results.

Truncation provides an option to search for a root of a keyword in order to retrieve resources that include variations of that word.  This feature can be used to broaden search results, although some results may not be relevant.  To truncate a keyword, type an asterisk (*) following the root of the word.

For example:

Library databases provide a variety of tools to limit and refine search results.  Limiters provide the ability to limit search results to resources having specified characteristics including:

• Resource type
• Publication date
• Geographic location

In both the EBSCO and ProQuest databases, the limiting tools are located in the left panel of the results page.

                                                 EBSCO                                                     ProQuest

The short video below provides a demonstration of how to use limiters to refine a list of search results.

Each resource in a library database is stored in a record.  In addition to the full-text of the resources, searchable Fields are attached that typically include:

• Journal title
• Date of Publication

Incorporating Fields into your search can assist in focusing and refining search results by limiting the results to those resources that include specific information in a particular field.

In both EBSCO and ProQuest databases, selecting the Advanced Search option will allow Fields to be included in a search.

For example, in the Advanced Search option in EBSCO's Academic Search Complete database, clicking on the down arrow next to "Select a Field" provides a list of fields that can be searched within that database.  Select the field and enter the information in the text box to the left to use this feature.

Stop words are short, commonly used words--articles, prepositions, and pronouns-- that are automatically dropped from a search.  Typical stop words include:

In library databases, a stop word will not be searched even if it is included in a phrase enclosed in quotation marks.  In some instances, a word will be substituted for the stop word to allow for the other words in the phrase to be searched in proximity to one another within the text of the resource.

For example, if you searched company of America, your result list will include these variatons:

• company in America
• company of America
• company for America

Creating an Search String

This short video demonstrates how to create a search string -- keywords connected with Boolean operators -- to use in a library database search to retrieve relevant resources for any research assignment.

• Database Search Menu Template Use this search menu template to plan a database search.
• Next: Back to Research Help >>
• Last Updated: Jun 14, 2024 10:44 AM
• URL: https://guides.rasmussen.edu/LitReview

How To Structure Your Literature Review

3 options to help structure your chapter.

By: Amy Rommelspacher (PhD) | Reviewer: Dr Eunice Rautenbach | November 2020 (Updated May 2023)

Writing the literature review chapter can seem pretty daunting when you’re piecing together your dissertation or thesis. As  we’ve discussed before , a good literature review needs to achieve a few very important objectives – it should:

• Demonstrate your knowledge of the research topic
• Identify the gaps in the literature and show how your research links to these
• Provide the foundation for your conceptual framework (if you have one)
• Inform your own  methodology and research design

To achieve this, your literature review needs a well-thought-out structure . Get the structure of your literature review chapter wrong and you’ll struggle to achieve these objectives. Don’t worry though – in this post, we’ll look at how to structure your literature review for maximum impact (and marks!).

But wait – is this the right time?

Deciding on the structure of your literature review should come towards the end of the literature review process – after you have collected and digested the literature, but before you start writing the chapter. 

In other words, you need to first develop a rich understanding of the literature before you even attempt to map out a structure. There’s no use trying to develop a structure before you’ve fully wrapped your head around the existing research.

Equally importantly, you need to have a structure in place before you start writing , or your literature review will most likely end up a rambling, disjointed mess. 

Importantly, don’t feel that once you’ve defined a structure you can’t iterate on it. It’s perfectly natural to adjust as you engage in the writing process. As we’ve discussed before , writing is a way of developing your thinking, so it’s quite common for your thinking to change – and therefore, for your chapter structure to change – as you write. 

Need a helping hand?

Like any other chapter in your thesis or dissertation, your literature review needs to have a clear, logical structure. At a minimum, it should have three essential components – an  introduction , a  body   and a  conclusion . 

Let’s take a closer look at each of these.

1: The Introduction Section

Just like any good introduction, the introduction section of your literature review should introduce the purpose and layout (organisation) of the chapter. In other words, your introduction needs to give the reader a taste of what’s to come, and how you’re going to lay that out. Essentially, you should provide the reader with a high-level roadmap of your chapter to give them a taste of the journey that lies ahead.

Here’s an example of the layout visualised in a literature review introduction:

Your introduction should also outline your topic (including any tricky terminology or jargon) and provide an explanation of the scope of your literature review – in other words, what you  will   and  won’t   be covering (the delimitations ). This helps ringfence your review and achieve a clear focus . The clearer and narrower your focus, the deeper you can dive into the topic (which is typically where the magic lies). 

Depending on the nature of your project, you could also present your stance or point of view at this stage. In other words, after grappling with the literature you’ll have an opinion about what the trends and concerns are in the field as well as what’s lacking. The introduction section can then present these ideas so that it is clear to examiners that you’re aware of how your research connects with existing knowledge .

2: The Body Section

The body of your literature review is the centre of your work. This is where you’ll present, analyse, evaluate and synthesise the existing research. In other words, this is where you’re going to earn (or lose) the most marks. Therefore, it’s important to carefully think about how you will organise your discussion to present it in a clear way. 

The body of your literature review should do just as the description of this chapter suggests. It should “review” the literature – in other words, identify, analyse, and synthesise it. So, when thinking about structuring your literature review, you need to think about which structural approach will provide the best “review” for your specific type of research and objectives (we’ll get to this shortly).

There are (broadly speaking)  three options  for organising your literature review.

Option 1: Chronological (according to date)

Organising the literature chronologically is one of the simplest ways to structure your literature review. You start with what was published first and work your way through the literature until you reach the work published most recently. Pretty straightforward.

The benefit of this option is that it makes it easy to discuss the developments and debates in the field as they emerged over time. Organising your literature chronologically also allows you to highlight how specific articles or pieces of work might have changed the course of the field – in other words, which research has had the most impact . Therefore, this approach is very useful when your research is aimed at understanding how the topic has unfolded over time and is often used by scholars in the field of history. That said, this approach can be utilised by anyone that wants to explore change over time .

For example , if a student of politics is investigating how the understanding of democracy has evolved over time, they could use the chronological approach to provide a narrative that demonstrates how this understanding has changed through the ages.

Here are some questions you can ask yourself to help you structure your literature review chronologically.

• What is the earliest literature published relating to this topic?
• How has the field changed over time? Why?
• What are the most recent discoveries/theories?

In some ways, chronology plays a part whichever way you decide to structure your literature review, because you will always, to a certain extent, be analysing how the literature has developed. However, with the chronological approach, the emphasis is very firmly on how the discussion has evolved over time , as opposed to how all the literature links together (which we’ll discuss next ).

Option 2: Thematic (grouped by theme)

The thematic approach to structuring a literature review means organising your literature by theme or category – for example, by independent variables (i.e. factors that have an impact on a specific outcome).

As you’ve been collecting and synthesising literature , you’ll likely have started seeing some themes or patterns emerging. You can then use these themes or patterns as a structure for your body discussion. The thematic approach is the most common approach and is useful for structuring literature reviews in most fields.

For example, if you were researching which factors contributed towards people trusting an organisation, you might find themes such as consumers’ perceptions of an organisation’s competence, benevolence and integrity. Structuring your literature review thematically would mean structuring your literature review’s body section to discuss each of these themes, one section at a time.

Here are some questions to ask yourself when structuring your literature review by themes:

• Are there any patterns that have come to light in the literature?
• What are the central themes and categories used by the researchers?
• Do I have enough evidence of these themes?

PS – you can see an example of a thematically structured literature review in our literature review sample walkthrough video here.

Option 3: Methodological

The methodological option is a way of structuring your literature review by the research methodologies used . In other words, organising your discussion based on the angle from which each piece of research was approached – for example, qualitative , quantitative or mixed  methodologies.

Structuring your literature review by methodology can be useful if you are drawing research from a variety of disciplines and are critiquing different methodologies. The point of this approach is to question  how  existing research has been conducted, as opposed to  what  the conclusions and/or findings the research were.

For example, a sociologist might centre their research around critiquing specific fieldwork practices. Their literature review will then be a summary of the fieldwork methodologies used by different studies.

Here are some questions you can ask yourself when structuring your literature review according to methodology:

• Which methodologies have been utilised in this field?
• Which methodology is the most popular (and why)?
• What are the strengths and weaknesses of the various methodologies?
• How can the existing methodologies inform my own methodology?

3: The Conclusion Section

Once you’ve completed the body section of your literature review using one of the structural approaches we discussed above, you’ll need to “wrap up” your literature review and pull all the pieces together to set the direction for the rest of your dissertation or thesis.

The conclusion is where you’ll present the key findings of your literature review. In this section, you should emphasise the research that is especially important to your research questions and highlight the gaps that exist in the literature. Based on this, you need to make it clear what you will add to the literature – in other words, justify your own research by showing how it will help fill one or more of the gaps you just identified.

Last but not least, if it’s your intention to develop a conceptual framework for your dissertation or thesis, the conclusion section is a good place to present this.

Example: Thematically Structured Review

In the video below, we unpack a literature review chapter so that you can see an example of a thematically structure review in practice.

Let’s Recap

In this article, we’ve  discussed how to structure your literature review for maximum impact. Here’s a quick recap of what  you need to keep in mind when deciding on your literature review structure:

• Just like other chapters, your literature review needs a clear introduction , body and conclusion .
• The introduction section should provide an overview of what you will discuss in your literature review.
• The body section of your literature review can be organised by chronology , theme or methodology . The right structural approach depends on what you’re trying to achieve with your research.
• The conclusion section should draw together the key findings of your literature review and link them to your research questions.

If you’re ready to get started, be sure to download our free literature review template to fast-track your chapter outline.

Psst… there’s more!

This post is an extract from our bestselling short course, Literature Review Bootcamp . If you want to work smart, you don't want to miss this .

28 Comments

Great work. This is exactly what I was looking for and helps a lot together with your previous post on literature review. One last thing is missing: a link to a great literature chapter of an journal article (maybe with comments of the different sections in this review chapter). Do you know any great literature review chapters?

I agree with you Marin… A great piece

I agree with Marin. This would be quite helpful if you annotate a nicely structured literature from previously published research articles.

Awesome article for my research.

I thank you immensely for this wonderful guide

It is indeed thought and supportive work for the futurist researcher and students

Very educative and good time to get guide. Thank you

Great work, very insightful. Thank you.

Thanks for this wonderful presentation. My question is that do I put all the variables into a single conceptual framework or each hypothesis will have it own conceptual framework?

Thank you very much, very helpful

This is very educative and precise . Thank you very much for dropping this kind of write up .

Pheeww, so damn helpful, thank you for this informative piece.

I’m doing a research project topic ; stool analysis for parasitic worm (enteric) worm, how do I structure it, thanks.

comprehensive explanation. Help us by pasting the URL of some good “literature review” for better understanding.

great piece. thanks for the awesome explanation. it is really worth sharing. I have a little question, if anyone can help me out, which of the options in the body of literature can be best fit if you are writing an architectural thesis that deals with design?

I am doing a research on nanofluids how can l structure it?

Beautifully clear.nThank you!

Lucid! Thankyou!

Brilliant work, well understood, many thanks

I like how this was so clear with simple language 😊😊 thank you so much 😊 for these information 😊

Insightful. I was struggling to come up with a sensible literature review but this has been really helpful. Thank you!

You have given thought-provoking information about the review of the literature.

Thank you. It has made my own research better and to impart your work to students I teach

I learnt a lot from this teaching. It’s a great piece.

I am doing research on EFL teacher motivation for his/her job. How Can I structure it? Is there any detailed template, additional to this?

You are so cool! I do not think I’ve read through something like this before. So nice to find somebody with some genuine thoughts on this issue. Seriously.. thank you for starting this up. This site is one thing that is required on the internet, someone with a little originality!

I’m asked to do conceptual, theoretical and empirical literature, and i just don’t know how to structure it

Asking questions are actually fastidious thing if you are not understanding anything fully, but this article presents good understanding yet.

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Literature Review Topics Ideas and Examples

Table of Contents

 Awesome Literature Review Topics to Help You Compose an Outstanding Dissertation

Let me tell you a secret.

If you conduct proper research regarding the literature review section of your dissertation or thesis BEFORE finalizing the topic, then the research process will become a lot easier for you. This article will help you to make your literature review topics more reasonable.

Why you’re asking?

That is because the literature review gives a summary of all the previous studies conducted on the topic and the methods, techniques, and statistical tools applied to them. This gives the researcher not only a clear idea as to where the study is originating from but also gives him an idea as to which techniques and tools he should apply to his study and what their outcome can be.

So, if you want to be sure that you are selecting the right topic for your final dissertation or thesis, then make sure that you conduct research for your literature review before finalizing your research theme.

But it’s not that easy to come up with literature review topics, right?

Literary theory and criticism:.

• Psychoanalytic Interpretations of Shakespeare’s Tragedies: Analyzing Characters’ Psyches
• Feminist Critique of 20th Century American Literature: Examining Gender Roles and Representation
• Postcolonial Perspectives on African Diaspora Literature: Identity, Power, and Resistance
• Queer Theory and LGBTQ+ Literature: Exploring Themes of Identity and Subversion
• Ecocriticism in Contemporary Fiction: Nature, Environment, and Human Interaction

Historical Contexts and Literary Movements:

• Harlem Renaissance Literature: Cultural Identity and Artistic Expression in African American Writing
• Romanticism and the Gothic: Themes of Nature, Emotion, and Supernatural in 19th Century Literature
• Modernism and Stream-of-Consciousness Narration: Exploring Subjectivity and Fragmentation
• Postmodern Literature: Deconstruction, Irony, and Metafiction in Contemporary Writing
• Magical Realism in Latin American Literature: Blurring the Boundaries of Reality and Fantasy

Genre Studies:

• Crime Fiction and Detective Narratives: Evolution, Conventions, and Social Commentary
• Science Fiction Literature: Speculative Futures and Societal Reflections
• Graphic Novels and Comics: Visual Storytelling and Narrative Techniques
• Young Adult Literature: Themes of Identity, Coming-of-Age, and Social Issues
• Travel Writing and Adventure Literature: Exploration, Encounter, and Cultural Representation

Author Studies:

• Virginia Woolf’s Feminist Aesthetics: Gender, Narrative, and Experimental Writing
• Gabriel García Márquez and Magical Realism: Myth, Memory, and Colombian Culture
• Toni Morrison’s Exploration of African American Experience: Race, Trauma, and Resilience
• J.R.R. Tolkien and the Fantasy Tradition: Worldbuilding, Mythology, and Linguistics
• Haruki Murakami’s Surrealism: Themes of Alienation, Identity, and Existentialism

Interdisciplinary Approaches:

• Literature and Psychology: Freudian and Jungian Interpretations of Literary Texts
• Literature and Philosophy: Existentialist Themes in Modern Fiction
• Literature and History: Representations of War and Conflict in 20th-Century Novels
• Literature and Science: Depictions of Technology and Ethics in Speculative Fiction
• Literature and Sociology: Social Realism and Depictions of Class Struggle in 19th-Century Literature

Cultural and Identity Studies:

• Diasporic Literature and Identity Formation: Exploring the Experience of Displacement and Belonging
• Indigenous Literature and Cultural Revitalization: Reclaiming Narratives and Traditional Knowledge
• Immigrant Literature: Negotiating Identity, Assimilation, and Cultural Hybridity
• Disability Representation in Literature: Portrayals, Stereotypes, and Empowerment
• Intersectionality in Literature: Examining the Interplay of Race, Gender, Class, and Sexuality

Literature and Ethics:

• Moral Dilemmas in Literature: Ethical Challenges and Philosophical Reflections
• Representations of Justice and Injustice in Literature: Legal, Social, and Moral Perspectives
• Ethical Implications of Narratives of Trauma and Suffering in Literature
• Environmental Ethics in Ecocritical Literature: Perspectives on Nature, Sustainability, and Human Responsibility
• Animal Rights and Ethical Considerations in Literary Depictions: Anthropomorphism, Empathy, and Exploitation

Literature and Technology:

• Digital Humanities and Literary Studies: Innovations, Challenges, and Future Directions
• Virtual Reality and Immersive Storytelling: Narrative Possibilities and Audience Engagement
• Literature in the Age of Social Media: Influences, Trends, and Audience Interaction
• Technological Dystopias in Literature: Critiques of Surveillance, Control, and Technological Determinism
• Cybernetic Literature and Posthumanism: Exploring Boundaries of the Human and the Technological

Literature and Education:

• Literature in the Classroom: Strategies for Teaching Critical Thinking, Empathy, and Cultural Understanding
• Multicultural Literature in Curriculum Development: Promoting Diversity and Inclusivity in Education
• Reading and Literacy Development: The Role of Literature in Language Acquisition and Cognitive Development
• Literature Circles and Book Clubs: Fostering Community, Discussion, and Lifelong Learning
• Literature-Based Interventions in Education: Using Narratives for Social and Emotional Learning, Mental Health, and Well-being

Literature and Globalization:

• Transnational Literature: Cross-Cultural Encounters, Hybrid Identities, and Global Perspectives
• Translation Studies and Literary Adaptations: Challenges and Opportunities in Cross-Cultural Exchange
• World Literature and Cosmopolitanism: Dialogues Across Borders, Languages, and Cultures
• Global Literary Markets and Publishing Trends: Impact on Authorship, Readership, and Cultural Exchange
• Literature and Migration: Narratives of Mobility, Displacement, and Cultural Translation in a Globalized World

General Topics for Literature Review

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• The role of gender in leadership
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• Analysis of the marketing strategies and practices of a multi-national company
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• the importance of effective business communication in a company’s productivity
• Study of customer satisfaction using the Markova interest rate model
• Analysis of the Consumer Price Index
• Study of teacher empowerment in small learning communities
• Teacher attitudes toward pay for performance incentives
• Effects of gender on the family buying decision
• Effects of recession on consumer buying behavior
• Factors affecting positive and negative word of mouth in the hotel industry
• The effect of brand image on consumer preference
• The effect of the recession on the advertisement industry
• Effects of recession on promotional activities of a company
• The attitude of people toward direct marketing
• Effects of product’s response through free sample trial/usage
• A comparative study of sellers and buyers in market acceptability of licensed software
• Consumer awareness and usage of e-banking transactions through mobile phones
• Impact of performance commitment on customer’s evaluation of product quality
• Effect of product innovativeness and trialability on new product adoption
• Relationship between mobile phone advertising and the company’s corporate image
• A consumer decision-making model in the automobile industry of Pakistan
• Factors behind brand switching in the fast-moving consumer goods industry
• Consumer purchase behavior in out-of-stock situations at retail outlets

Try to search the internet and other sources for information on the above-mentioned topics and form a literature review so that you can get a clear idea of the direction of your thesis or dissertation. This article will definitely help you to make your literature review topic more effective and useful.

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Exploring the factors driving AI adoption in production: a systematic literature review and future research agenda

• Open access
• Published: 23 August 2024

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• Heidi Heimberger   ORCID: orcid.org/0000-0003-3390-0219 1 , 2 ,
• Djerdj Horvat   ORCID: orcid.org/0000-0003-3747-3402 1 &
• Frank Schultmann   ORCID: orcid.org/0000-0001-6405-9763 1  

Our paper analyzes the current state of research on artificial intelligence (AI) adoption from a production perspective. We represent a holistic view on the topic which is necessary to get a first understanding of AI in a production-context and to build a comprehensive view on the different dimensions as well as factors influencing its adoption. We review the scientific literature published between 2010 and May 2024 to analyze the current state of research on AI in production. Following a systematic approach to select relevant studies, our literature review is based on a sample of articles that contribute to production-specific AI adoption. Our results reveal that the topic has been emerging within the last years and that AI adoption research in production is to date still in an early stage. We are able to systematize and explain 35 factors with a significant role for AI adoption in production and classify the results in a framework. Based on the factor analysis, we establish a future research agenda that serves as a basis for future research and addresses open questions. Our paper provides an overview of the current state of the research on the adoption of AI in a production-specific context, which forms a basis for further studies as well as a starting point for a better understanding of the implementation of AI in practice.

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• Artificial Intelligence

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1 Introduction

The technological change resulting from deep digitisation and the increasing use of digital technologies has reached and transformed many sectors [ 1 ]. In manufacturing, the development of a new industrial age, characterized by extensive automation and digitisation of processes [ 2 ], is changing the sector’s ‘technological reality’ [ 3 ] by integrating a wide range of information and communication technologies (such as Industry 4.0-related technologies) into production processes [ 4 ].

Although the evolution of AI traces back to the year 1956 (as part of the Dartmouth Conference) [ 5 ], its development has progressed rapidly, especially since the 2010s [ 6 ]. Driven by improvements, such as the fast and low-cost development of smart hardware, the enhancement of algorithms as well as the capability to manage big data [ 7 ], there is an increasing number of AI applications available for implementation today [ 8 ]. The integration of AI into production processes promises to boost the productivity, efficiency as well as automation of processes [ 9 ], but is currently still in its infancy [ 10 ] and manufacturing firms seem to still be hesitant to adopt AI in a production-context. This appears to be driven by the high complexity of AI combined with the lack of practical knowledge about its implementation in production and several other influencing factors [ 11 , 12 ].

In the literature, many contributions analyze AI from a technological perspective, mainly addressing underlying models, algorithms, and developments of AI tools. Various authors characterise both machine learning and deep learning as key technologies of AI [ 8 , 13 ], which are often applied in combination with other AI technologies, such as natural language recognition. While promising areas for AI application already exist in various domains such as marketing [ 14 ], procurement [ 15 ], supply chain management [ 16 ] or innovation management [ 17 ], the integration of AI into production processes also provides significant performance potentials, particularly in the areas of maintenance [ 18 ], quality control [ 19 ] and production planning and management [ 20 ]. However, AI adoption requires important technological foundations, such as the provision of data and the necessary infrastructure, which must be ensured [ 11 , 12 , 21 ]. Although the state of the art literature provides important insights into possible fields of application of AI in production, the question remains: To what extent are these versatile applications already in use and what is required for their successful adoption?

Besides the technology perspective of AI, a more human-oriented field of discussion is debated in scientific literature [ 22 ]. While new technologies play an essential role in driving business growth in the digital transformation of the production industry, the increasing interaction between humans and intelligent machines (also referred to as ‘augmentation’) creates stress challenges [ 23 ] and impacts work [ 24 ], which thus creates managerial challenges in organizations [ 25 , 26 ]. One of the widely discussed topics in this context is the fear of AI threatening jobs (including production jobs), which was triggered by e.g. a study of Frey, Osborne [ 27 ]. Another issue associated to the fear of machines replacing humans is the lack of acceptance resulting from the mistrust of technologies [ 28 , 29 ]. This can also be linked to the various ethical challenges involved in working with AI [ 22 ]. This perspective, which focuses on the interplay between AI and humans [ 30 ], reveals the tension triggered by AI. Although this is discussed from different angles, the question remains how these aspects influence the adoption of AI in production.

Another thematic stream of current literature can be observed in a series of contributions on the organizational aspects of the technology. In comparison to the two research areas discussed above, the number of publications in this area seems to be smaller. This perspective focuses on issues to implement AI, such as the importance of a profound management structure [ 31 , 32 ], leadership [ 33 ], implications on the organizational culture [ 34 ] as well as the need for digital capabilities and special organizational skills [ 33 ]. Although some studies on the general adoption of AI without a sectoral focus have already been conducted (such as by Chen, Tajdini [ 35 ] or Kinkel, Baumgartner, Cherubini [ 36 ]) and hence, some initial factors influencing the adoption of AI can be derived, the contributions from this perspective are still scarce, are usually not specifically analyzed in the context of production or lack a comprehensive view on the organization in AI adoption.

While non-industry specific AI issues have been researched in recent years, the current literature misses a production-specific analysis of AI adoption, providing an understanding of the possibilities and issues related to integrating AI into the production context. Moreover, the existing literature tells us little about relevant mechanisms and factors underlying the adoption of AI in production processes, which include both technical, human-centered as well as organizational issues. As organizational understanding of AI in a business context is currently still in its early stages, it is difficult to find an aggregate view on the factors that can support companies in implementing AI initiatives in production [ 37 , 38 ]. Addressing this gap, we aim to systematise the current scientific knowledge on AI adoption, with a focus on production. By drawing on a systematic literature review (SLR), we examine existing studies on AI adoption in production and explore the main issues regarding adoption that are covered in the analyzed articles. Building on these findings, we conduct a comprehensive analysis of the existing studies with the aim of systematically investigating the key factors influencing the adoption of AI in production. This systematic approach paves the way for the formulation of a future research agenda.

Our SLR addresses three research questions (RQs). RQ1: What are the statistical characteristics of existing research on AI adoption in production? To answer this RQ, we conduct descriptive statistics of the analyzed studies and provide information on time trends, methods used in the research, and country specifications. RQ2: What factors influence the adoption of AI in production? RQ2 specifies the adoption factors and forms the core component of our analysis. By adoption factors, we mean the factors that influence the use of AI in production (both positively and negatively) and that must therefore be analyzed and taken into account. RQ3: What research topics are of importance to advance the research field of AI adoption in production? We address this RQ by using the analyzed literature as well as the key factors of AI adoption as a starting point to derive RQs that are not addressed and thus provide an outlook on the topic.

2 Methodology

In order to create a sound information base for both policy makers and practitioners on the topic of AI adoption in production, this paper follows the systematic approach of a SLR. For many fields, including management research, a SLR is an important tool to capture the diversity of existing knowledge on a specific topic for a scientific investigation [ 39 ]. The investigator often pursues multiple goals, such as capturing and assessing the existing environment and advancing the existing body of knowledge with a proprietary RQ [ 39 ] or identifying key research topics [ 40 ].

Our SLR aims to select, analyze, and synthesize findings from the existing literature on AI adoption in production over the past 24 years. In order to identify relevant data for our literature synthesis, we follow the systematic approach of the Preferred Reporting Items for Systematic reviews (PRISMA) [ 41 ]. In evaluating the findings, we draw on a mixed-methods approach, combining some quantitative analyses, especially on the descriptive aspects of the selected publications, as well as qualitative analyses aimed at evaluating and comparing the contents of the papers. Figure  1 graphically summarizes the methodological approach that guides the content of the following sub-chapters.

Methodical procedure of our SLR following PRISMA [ 41 ]

2.1 Data identification

Following the development of the specific RQs, we searched for suitable publications. To locate relevant studies, we chose to conduct a publication analysis in the databases Scopus, Web of Science and ScienceDirect as these databases primarily contain international scientific articles and provide a broad overview of the interdisciplinary research field and its findings. To align the search with the RQs [ 42 ], we applied predefined key words to search the titles, abstracts, and keywords of Scopus, Web of Science and ScienceDirect articles. Our research team conducted several pre-tests to determine the final search commands for which the test results were on target and increased the efficiency of the search [ 42 ]. Using the combination of Boolean operators, we covered the three topics of AI, production, and adoption by searching combinations of ‘Artificial Intelligence’ AND ‘production or manufacturing’ AND ‘adopt*’ in the three scientific databases. Although ‘manufacturing’ tends to stand for the whole sector and ‘production’ refers to the process, the two terms are often used to describe the same context. We also follow the view of Burbidge, Falster, Riis, Svendsen [ 43 ] and use the terms synonymously in this paper and therefore also include both terms as keywords in the study location as well as in the analysis.

AI research has been credited with a resurgence since 2010 [ 6 ], which is the reason for our choice of time horizon. Due to the increase in publications within the last years, we selected articles published online from 2010 to May 8, 2024 for our analysis. As document types, we included conference papers, articles, reviews, book chapters, conference reviews as well as books, focusing exclusively on contributions in English in the final publication stage. The result of the study location is a list of 3,833 documents whose titles, abstracts, and keywords meet the search criteria and are therefore included in the next step of the analysis.

2.2 Data analysis

For these 3,833 documents, we then conducted an abstract analysis, ‘us[ing] a set of explicit selection criteria to assess the relevance of each study found to see if it actually does address the research question’ [ 42 ]. For this step, we again conducted double-blind screenings (including a minimum of two reviewers) as pilot searches so that all reviewers have the same understanding of the decision rules and make equal decisions regarding their inclusion for further analysis.

To ensure the paper’s focus on all three topics regarded in our research (AI, production, and adoption), we followed clearly defined rules of inclusion and exclusion that all reviewers had to follow in the review process. As a first requirement for inclusion, AI must be the technology in focus that is analysed in the publication. If AI was only mentioned and not further specified, we excluded the publication. With a second requirement, we checked the papers for the context of analysis, which in our case must be production. If the core focus is beyond production, the publication was also excluded from further analysis. The third prerequisite for further consideration of the publication is the analysis of the adoption of a technology in the paper. If technology adoption is not addressed or adoption factors are not considered, we excluded the paper. An article was only selected for full-text analysis if, after analyzing the titles, abstracts, and keywords, a clear focus on all three research areas was visible and the inclusion criteria were met for all three contexts.

By using this tripartite inclusion analysis, we were able to analyse the publications in a structured way and to reduce the 3,833 selected documents in our double-blind approach to 300 articles that were chosen for the full-text analysis. In the process of finding full versions of these publications, we had to exclude three papers as we could not access them. For the rest of the 297 articles we obtained full access and thus included them for further analysis. After a thorough examination of the full texts, we again had to exclude 249 publications because they did not meet our content-related inclusion criteria mentioned above, although the abstract analysis gave indications that they did. As a result, we finally obtained 47 selected papers on which we base the literature analysis and synthesis (see Fig.  1 ).

2.3 Descriptive analysis

Figure  2 summarises the results of the descriptive analysis on the selected literature regarding AI adoption in production that we analyse in our SLR. From Fig.  2 a), which illustrates annual publication trends (2010–2024), the increase in publications on AI adoption in production over the past 5 years is evident, yet slightly declining after a peak in 2022. After a steady increase until 2022, in which 11 articles are included in the final analysis, 2023 features ten articles, followed by three articles for 2024 until the cut-off date in May 2024. Of the 47 papers identified through our search, the majority (n = 33) are peer-reviewed journal articles and the remaining thirteen contributions conference proceedings and one book chapter (see Fig.  2 b)).

Descriptive analyses of the selected articles addressing AI adoption in production

The identified contributions reveal some additional characteristics in terms of the authors country base (Fig.  2 c)) and research methods used (Fig.  2 d)). Almost four out of ten of the publications were written in collaboration with authors from several countries (n = 19). Six of the papers were published by authors from the United States, five from Germany and four from India. In terms of the applied research methods used by the researchers, a wide range of methods is used (see Fig.  2 c), with qualitative methods (n = 22) being the most frequently used.

2.4 Factor analysis

In order to derive a comprehensive list of factors that influence the use of AI in production at different levels, we follow a qualitative content analysis. It is based on inductive category development, avoiding prefabricated categories in order to allow new categories to emerge based on the content at hand [ 44 , 45 ]. To do this, we first read the entire text to gain an understanding of the content and then derive codes [ 46 ] that seem to capture key ideas [ 45 ]. The codes are subsequently sorted into distinct categories, each of which is clearly defined and establishes meaningful connections between different codes. Based on an iterative process with feedback loops, the assigned categories are continuously reviewed and updated as revisions are made [ 44 ].

Various factors at different levels are of significance to AI and influence technology adoption [ 47 , 48 ]. To identify the specific factors that are of importance for AI adoption in production, we analyze the selected contributions in terms of the factors considered, compare them with each other and consequently obtain a list of factors through a bottom-up approach. While some of the factors are based on empirical findings, others are expected factors that result from the research findings of the respective studies. Through our analysis, a list of 35 factors emerges that influence AI adoption in production which occur with varying frequency in the studies analyzed by our SLR. Table 1 visualizes each factor in the respective contributions sorted by the frequency of occurrence.

The presence of skills is considered a particularly important factor in AI adoption in the studies analyzed (n = 35). The availability of data (n = 25) as well as the need for ethical guidelines (n = 24) are also seen as key drivers of AI adoption, as data is seen as the basis for the implementation of AI and ethical issues must be addressed in handling such an advanced technology. As such, these three factors make up the accelerants of AI adoption in production that are most frequently cited in the studies analyzed.

Also of importance are issues of managerial support (n = 22), as well as performance measures and IT infrastructure (n = 20). Some factors were also mentioned, but only addressed by one study at a time: government support, industrial sector, product complexity, batch size, and R&D Intensity. These factors are often used as quantitatively measurable adoption factors, especially in empirical surveys, such the study by Kinkel, Baumgartner, Cherubini [ 36 ].

3 Factors influencing AI adoption

The 35 factors presented characteristically in Sect.  2.4 serve as the basis for our in-depth analysis and for developing a framework of influences on AI adoption in production which are grouped into supercategories. A supercategory describes a cluster of topics to which various factors of AI adoption in production can be assigned. We were able to define seven categories that influence AI adoption in production: the internal influences of ‘business and structure’, ‘organizational effectiveness’, ‘technology and system’, ‘data management’ as well as the external influences of the ‘regulatory environment’, ‘business environment’ and ‘economic environment’ (see Fig.  3 ). The factors that were mentioned most frequently (occurrence in at least half of the papers analyzed) are marked accordingly (*) in Fig.  3 .

Framework of factors influencing AI adoption in production

3.1 Internal Environment

The internal influences on AI adoption in production refer to factors that an organization carries internally and that thus also influence adoption from within. Such factors can usually be influenced and clearly controlled by the organization itself.

3.1.1 Business and structure

The supercategory ‘business and structure’ includes the various factors and characteristics that impact a company’s performance, operations, and strategic decision-making. By considering and analyzing these business variables when implementing AI in production processes, companies can develop effective strategies to optimize their performance, increase their competitiveness, and adapt to changes in the business environment.

To understand and grasp the benefits in the use of AI, quantitative performance measures for the current and potential use of AI in industrial production systems help to clarify the value and potential benefits of AI use [ 49 , 54 , 74 , 79 , 91 ]. Assessing possible risks [ 77 ] as well as the monetary expected benefits for AI (e.g. Return on Investment (ROI)) in production plays an important role for adoption decisions in market-oriented companies [ 57 , 58 , 63 , 65 , 78 ]. Due to financial constraints, managers behave cautiously in their investments [ 78 ], so they need to evaluate AI adoption as financially viable to want to make the investment [ 61 , 63 , 93 ] and also drive acceptance [ 60 ]. AI systems can significantly improve cost–benefit structures in manufacturing, thereby increasing the profitability of production systems [ 73 ] and making companies more resilient [ 75 ]. However, in most cases, the adoption of AI requires high investments and the allocation of resources (s.a. personnel or financial) for this purpose [ 50 , 51 , 57 , 80 , 94 ]. Consequently, a lack of budgets and high expected transition costs often hinder the implementation of smart concepts [ 56 , 62 , 67 , 82 , 84 , 92 ]. It is up to management to provide necessary funding for AI adoption [ 53 , 59 , 79 ], which is required, for example, for skill development of employees [ 59 , 61 , 63 ], IT adaptation [ 62 , 66 ], AI development [ 74 ] or hardware deployment [ 68 ]. In their empirical study, Kinkel, Baumgartner, Cherubini [ 36 ] confirm a positive correlation between company size and the intensity in the use of AI technologies. Large companies generally stand out with a higher propensity to adopt [ 53 ] as they have less difficulties in comparison to small firms regarding the availability of resources [ 69 ], such as know-how, budget [ 68 , 84 ] and general data organization [ 68 ]. Others argue that small companies tend to be more open to change and are characterized by faster decision-making processes [ 68 , 93 ]. Product complexity also influences a company’s propensity for AI. Companies that produce rather simple products are more likely to digitize, which in turn offers good starting points for AI adoption. On the other hand, complex product manufacturers (often characterized by small batch sizes) are often less able to standardize and automate [ 36 ]. The company’s produced batch size has a similar influence on AI adoption. Small and medium batch sizes in particular hinder the integration of intelligent technologies, as less automation often prevails here as well. Nevertheless, even small and medium lot sizes can benefit economically from AI [ 36 ]. Since a high R&D intensity indicates a high innovation capability of a company, it is assumed to have a positive influence on AI adoption, as companies with a high R&D intensity already invest heavily in and use new innovations. This in turn speaks for existing competencies, know how and structures [ 36 ].

3.1.2 Organizational effectiveness

This supercategory focuses on the broader aspects that contribute to the effectiveness, development, and success of an organization when implementing AI in a production context. As the factors are interconnected and influence each other, decision makers should consider them carefully.

Users´ trust in AI is an essential factor to enable successful AI adoption and use in production [ 52 , 68 , 78 , 79 , 88 , 90 ]. From the users´ perspective, AI often exhibits the characteristics of a black box because its inherent processes are not fully understood [ 50 , 90 ] which can lead individuals to develop a fear towards the unknown [ 71 ]. Because of this lack of understanding, successful interaction between humans and AI is not guaranteed [ 90 ], as trust is a foundation for decisions that machines are intended to make autonomously [ 52 , 91 ]. To strengthen faith in AI systems [ 76 , 80 ], AI users can be involved in AI design processes in order to understand appropriate tools [ 54 , 90 ]. In this context, trust is also discussed in close connection with transparency and regulation [ 79 ]. User resistance is considered a barrier to implementing new information technologies, as adoption requires change [ 53 , 62 , 92 ]. Ignorance, as a kind of resistance to change, is a main obstacle to successful digital transformation [ 51 , 56 , 65 ]. Some employees may resist the change brought about by AI because they fear losing their jobs [ 52 ] or have other concerns [ 78 ]. Overcoming resistance to technology adoption requires organizational change and is critical for the success of adoption [ 50 , 51 , 62 , 67 , 71 , 80 ]. Therefore, change management is important to create awareness of the importance of AI adoption and increase acceptance of the workforce [ 66 , 68 , 74 , 83 ]. Management commitment is seen as a significant driver of technology adoption [ 53 , 59 , 81 , 82 , 86 ] and a lack of commitment can negatively impact user adoption and workforce trust and lead to skepticism towards technology [ 86 ]. The top management’s understanding and support for the benefits of the adopted technology [ 53 , 56 , 67 , 78 , 93 , 94 ] enhances AI adoption, can prioritize its implementation and also affects the performance of the AI-enabled application [ 55 , 60 , 83 ]. Preparing, enabling, and thus empowering the workforce, are considered the management’s responsibility in the adoption of digital technologies [ 59 , 75 ]. This requires intelligent leadership [ 52 ] as decision makers need to integrate their workforce into decision-making processes [ 75 ]. Guidelines can support managers by providing access to best practices that help in the adoption of AI [ 50 ]. Critical measures to manage organizational change include the empowerment of visionaries or appointed AI champions leading the change and the collaborative development of digital roadmaps [ 54 , 62 ]. To demonstrate management commitment, managers can create such a dedicated role, consisting of an individual or a small group that is actively and enthusiastically committed to AI adoption in production. This body is considered the adoption manager, point of contact and internal driver of adoption [ 62 , 74 , 80 ]. AI initiatives in production do not necessarily have to be initiated by management. Although management support is essential for successful AI adoption, employees can also actively drive integration initially and thus realize pilot projects or initial trials [ 66 , 80 ]. The development of strategies as well as roadmaps is considered another enabling and necessary factor for the adoption of AI in production [ 50 , 53 , 54 , 62 , 71 , 93 ]. While many major AI strategies already exist at country level to further promote research and development of AI [ 87 ], strategy development is also important at the firm level [ 76 , 77 , 81 ]. In this context, strategies should not be delegated top-down, but be developed in a collaborative manner, i.e. by engaging the workforce [ 75 ] and be in alignment with clear visions [ 91 , 94 ]. Roadmaps are used to improve planning, support implementation, facilitate the adoption of smart technologies in manufacturing [ 93 ] and should be integrated into both business and IT strategy [ 62 , 66 ]. In practice, clear adoption roadmaps that provide approaches on how to effectively integrate AI into existing strategies and businesses are often lacking [ 56 , 87 ]. The need for AI-related skills in organizations is a widely discussed topic in AI adoption analyses [ 79 ]. In this context, the literature points both at the need for specific skills in the development and design of AI applications [ 57 , 71 , 72 , 73 , 76 , 93 ] as well as the skills in using the technology [ 53 , 65 , 73 , 74 , 75 , 84 , 93 ] which availability in the firm is not always given [ 49 ]. AI requires new digital skills [ 36 , 50 , 52 , 55 , 56 , 59 , 61 , 63 , 66 , 78 , 80 ], where e.g. advanced analytics [ 64 , 75 , 81 ], programming skills [ 68 ] and cybersecurity skills [ 78 , 93 ] gain importance. The lack of skills required for AI is seen as a major challenge of digital transformation, as a skilled workforce is considered a key resource for companies [ 51 , 54 , 56 , 60 , 62 , 67 , 69 , 70 , 82 , 93 ]. This lack of a necessary skillset hinders the adoption of AI tools in production systems [ 58 , 77 ]. Closely related to skills is the need for new training concepts, which organizations need to consider when integrating digital technologies [ 49 , 50 , 51 , 56 , 59 , 63 , 71 , 74 , 75 ]. Firms must invest in qualification in order to create necessary competences [ 73 , 78 , 80 , 81 , 92 ]. Additionally, education must target and further develop the skills required for effectively integrating intelligent technologies into manufacturing processes [ 54 , 61 , 62 , 83 ]. Regarding this issue, academic institutions must develop fitting curricula for data driven manufacturing engineering [ 64 ]. Another driving factor of AI adoption is the innovation culture of an organization, which is influenced by various drivers. For example, companies that operate in an environment with high innovation rates, facing intense competitive pressures are considered more likely to see smart technologies as a tool for strategic change [ 83 , 91 , 93 ]. These firms often invest in more expensive and advanced smart technologies as the pressure and resulting competition forces them to innovate [ 93 ]. Another way of approach this is that innovation capability can also be supported and complemented by AI, for example by intelligent systems supporting humans in innovation or even innovating on their own [ 52 ].The entrepreneurial orientation of a firm is characterized in particular by innovativeness [ 66 ], productivity [ 63 ], risk-taking [ 86 ] as well as continuous improvement [ 50 ]. Such characteristics of an innovating culture are considered essential for companies to recognise dynamic changes in the market and make adoption decisions [ 51 , 71 , 81 , 84 , 86 , 94 ]. The prevalence of a digital mindset in companies is important for technology adoption, as digital transformation affects the entire organizational culture and behavior [ 59 , 80 , 92 ] and a lack of a digital culture [ 50 , 65 ] as well as a ‘passive mindset’ [ 78 ] can hinder the digital transformation of firms. Organizations need to develop a corresponding culture [ 66 , 67 , 71 ], also referred to as ‘AI-ready-culture’ [ 54 ], that promotes development and encourages people and data through the incorporation of technology [ 71 , 75 ]. With the increasing adoption of smart technologies, a ‘new digital normal’ is emerging, characterized by hybrid work models, more human–machine interactions and an increased use of digital technologies [ 75 , 83 ].

3.1.3 Technology and System

The ‘technology and system’ supercategory focuses on the broader issues related to the technology and infrastructure that support organizational operations and provide the technical foundation for AI deployment.

By IT infrastructure we refer to issues regarding the foundational systems and IT needed for AI adoption in production. Industrial firms and their IT systems must achieve a mature technological readiness in order to enable successful AI adoption [ 51 , 60 , 67 , 69 , 83 ]. A lack of appropriate IT infrastructure [ 68 , 71 , 78 , 91 ] or small maturity of Internet of Things (IoT) technologies [ 70 ]) hinders the efficient use of data in production firms [ 56 ] which is why firms must update their foundational information systems for successful AI adoption [ 53 , 54 , 62 , 66 , 72 , 75 ]. IT and data security are fundamental for AI adoption and must be provided [ 50 , 51 , 68 , 82 ]. This requires necessary developments that can ensure security during AI implementation while complying with legal requirements [ 52 , 72 , 78 ]. Generally, security concerns are common when implementing AI innovations [ 72 , 79 , 91 , 94 ]. This fear of a lack of security can also prevent the release of (e.g. customer) data in a production environment [ 56 ]. Additionally, as industrial production systems are vulnerable to failures as well as cyberattacks, companies need to address security and cybersecurity measures [ 49 , 76 , 88 , 89 ]. Developing user-friendly AI solutions can facilitate the adoption of smart solutions by increasing user understanding and making systems easy to use by employees as well as quick to integrate [ 50 , 72 , 84 ]. When developing user-friendly solutions which satisfy user needs [ 76 ], it is particularly important to understand and integrate the user perspective in the development process [ 90 ]. If employees find technical solutions easy to use, they are more confident in its use and perceived usefulness increases [ 53 , 67 , 68 ]. The compatibility of AI with a firm and its existing systems, i.e., the extent to which AI matches existing processes, structures, and infrastructures [ 53 , 54 , 56 , 60 , 78 , 80 , 82 , 83 , 93 , 94 ], is considered an important requirement for the adoption of AI in IT systems [ 91 ]. Along with compatibility also comes connectivity, which is intended to ensure the links within the overall network and avoid silo thinking [ 59 ]. Connectivity and interoperability of AI-based processes within the company’s IT manufacturing systems must be ensured at different system levels and are considered key factors in the development of AI applications for production [ 50 , 72 , 89 ]. The design of modular AI solutions can increase system compatibility [ 84 ]. Firms deciding for AI adoption must address safety issues [ 51 , 54 , 59 , 72 , 73 , 78 ]. This includes both safety in the use and operation of AI [ 60 , 69 ]. In order to address safety concerns of integrating AI solutions in industrial systems [ 49 ], systems must secure high reliability [ 71 ]. AI can also be integrated as a safety enabler, for example, by providing technologies to monitor health and safety in the workplace to prevent fatigue and injury [ 75 ].

3.1.4 Data management

Since AI adoption in the organization is strongly data-driven, the ‘data management’ supercategory is dedicated to the comprehensive aspects related to the effective and responsible management of data within the organization.

Data privacy must be guaranteed when creating AI applications based on industrial production data [ 49 , 58 , 59 , 60 , 72 , 76 , 78 , 79 , 82 , 88 , 89 , 91 , 94 ] as ‘[M]anufacturing industries generate large volumes of unstructured and sensitive data during their daily operations’ [ 89 ]. Closely related to this is the need for anonymization and confidentiality of data [ 61 , 69 , 70 , 78 ]. The availability of large, heterogeneous data sets is essential for the digital transformation of organizations [ 52 , 59 , 78 , 80 , 88 , 89 ] and is considered one of the key drivers of AI innovation [ 62 , 68 , 72 , 86 ]. In production systems, lack of data availability is often a barrier to AI adoption [ 58 , 70 , 77 ]. In order to enable AI to establish relationships between data, the availability of large input data that is critical [ 62 , 76 , 81 ]. New AI models are trained with this data and can adapt as well as improve as they receive new data [ 59 , 62 ]. Big data can thus significantly improve the quality of AI applications [ 59 , 71 ]. As more and more data is generated in manufacturing [ 85 ], AI opens up new opportunities for companies to make use of it [ 62 ]. However, operational data are often unstructured, as they come from different sources and exist in diverse formats [ 85 , 87 ]. This challenges data processing, as data quality and origin are key factors in the management of data [ 78 , 79 , 80 , 88 , 89 , 91 ]. To make production data valuable and usable for AI, consistency of data and thus data integrity is required across manufacturing systems [ 50 , 62 , 77 , 84 ]. Another key prerequisites for AI adoption is data governance [ 56 , 59 , 67 , 68 , 71 , 78 , 88 ] which is an important asset to make use of data in production [ 50 ] and ensure the complex management of heterogenous data sets [ 89 ]. The interoperability of data and thus the foundation for the compatibility of AI with existing systems, i.e., the extent to which AI matches existing processes, structures, and infrastructures [ 53 , 56 , 84 , 93 ], is considered another important requirement for the adoption of AI in IT systems. Data interoperability in production systems can be hindered by missing data standards as different machines use different formats [ 87 ]. Data processing refers to techniques used to preparing data for analysis which is essential to obtain consistent results from data analytics in production [ 58 , 72 , 80 , 81 , 84 ]. In this process, the numerous, heterogeneous data from different sensors are processed in such a way that they can be used for further analyses [ 87 ]. The capability of production firms to process data and information is thus important to enable AI adoption [ 77 , 86 , 93 ]. With the increasing data generation in the smart and connected factory, the strategic relevance of data analytics is gaining importance [ 55 , 69 , 78 ], as it is essential for AI systems in performing advanced data analyses [ 49 , 67 , 72 , 86 , 88 ]. Using analytics, valuable insights can be gained from the production data obtained using AI systems [ 58 , 77 , 87 ]. In order to enable the processing of big data, a profound data infrastructure is necessary [ 65 , 75 , 87 ]. Facilities must be equipped with sensors, that collect data and model information, which requires investments from firms [ 72 ]. In addition, production firms must build the necessary skills, culture and capabilities for data analytics [ 54 , 75 , 87 , 93 ]. Data storage, one of the foundations and prerequisites for smart manufacturing [ 54 , 68 , 71 , 74 ], must be ensured in order to manage the larg amounts of data and thus realize the adoption of intelligent technologies in production [ 50 , 59 , 72 , 78 , 84 , 87 , 88 , 89 ].

3.2 External environment

The external drivers of AI adoption in production influence the organization through conditions and events from outside the firm and are therefore difficult to control by the organization itself.

3.2.1 Regulatory environment

This supercategory captures the broader concept of establishing rules, standards, and frameworks that guide the behavior, actions, and operations of individuals, organizations, and societies when implementing AI.

AI adoption in production faces many ethical challenges [ 70 , 72 , 79 ]. AI applications must be compliant with the requirements of organizational ethical standards and laws [ 49 , 50 , 59 , 60 , 62 , 75 ] which is why certain issues must be examined in AI adoption and AI design [ 62 , 73 , 82 , 91 ] so that fairness and justice are guaranteed [ 78 , 79 , 92 ]. Social rights, cultural values and norms must not be violated in the process [ 49 , 52 , 53 , 81 ]. In this context, the explainability and transparency of AI decisions also plays an important role [ 50 , 54 , 58 , 70 , 78 , 89 ] and can address the characteristic of AI of a black box [ 90 ]. In addition, AI applications must be compliant with legal and regulatory requirements [ 51 , 52 , 59 , 77 , 81 , 82 , 91 ] and be developed accordingly [ 49 , 76 ] in order to make organization processes using AI clear and effective [ 65 ]. At present, policies and regulation of AI are still in its infancy [ 49 ] and missing federal regulatory guidelines, standards as well as incentives hinder the adoption of AI [ 67 ] which should be expanded simultaneously to the expansion of AI technology [ 60 ]. This also includes regulations on the handling of data (e.g. anonymization of data) [ 61 , 72 ].

3.2.2 Business environment

The factors in the ‘business environment’ supercategory refer to the external conditions and influences that affect the operations, decision making, and performance of the company seeking to implement AI in a production context.

Cooperation and collaboration can influence the success of digital technology adoption [ 52 , 53 , 59 , 72 ], which is why partnerships are important for adoption [ 53 , 59 ] and can positively influence its future success [ 52 , 67 ]. Both intraorganizational and interorganizational knowledge sharing can positively influence AI adoption [ 49 ]. In collaborations, companies can use a shared knowledge base where data and process sharing [ 51 , 59 , 94 ] as well as social support systems strengthen feedback loops between departments [ 79 , 80 ]. With regard to AI adoption in firms, vendors as well as service providers need to collaborate closely to improve the compatibility and operational capability of smart technologies across different industries [ 82 , 93 ]. Without external IT support, companies can rarely integrate AI into their production processes [ 66 ], which is why thorough support from vendors can significantly facilitate the integration of AI into existing manufacturing processes [ 80 , 91 ]. Public–private collaborations can also add value and governments can target AI dissemination [ 60 , 74 ]. The support of the government also positively influences AI adoption. This includes investing in research projects and policies, building a regulatory setting as well as creating a collaborative environment [ 60 ]. Production companies are constantly exposed to changing conditions, which is why the dynamics of the environment is another factor influencing the adoption of AI [ 52 , 63 , 72 , 86 ]. Environmental dynamics influence the operational performance of firms and can favor an entrepreneurial orientation of firms [ 86 ]. In order to respond to dynamics, companies need to develop certain capabilities and resources (i.e. dynamic capabilities) [ 86 ]. This requires the development of transparency, agility, as well as resilience to unpredictable changes, which was important in the case of the COVID-19 pandemic, for example, where companies had to adapt quickly to changing environments [ 75 ]. A firm’s environment (e.g. governments, partners or customers) can also pressure companies to adopt digital technologies [ 53 , 67 , 82 , 91 ]. Companies facing intense competition are considered more likely to invest in smart technologies, as rivalry pushes them to innovate and they hope to gain competitive advantages from adoption [ 36 , 66 , 82 , 93 ].

3.2.3 Economic environment

By considering both the industrial sector and country within the subcategory ‘economic environment’, production firms can analyze the interplay between the two and understand how drivers can influence the AI adoption process in their industrial sector’s performance within a particular country.

The industrial sector of a firm influences AI adoption in production from a structural perspective, as it indicates variations in product characteristics, governmental support, the general digitalization status, the production environment as well as the use of AI technologies within the sector [ 36 ]. Another factor that influences AI adoption is the country in which a company is located. This influences not only cultural aspects, the availability of know-how and technology orientation, but also regulations, laws, standards and subsidies [ 36 ]. From another perspective, AI can also contribute to the wider socio-economic growth of economies by making new opportunities easily available and thus equipping e.g. more rural areas with advanced capabilities [ 78 ].

3.3 Future research directions

The analysis of AI adoption in production requires a comprehensive analysis of the various factors that influence the introduction of the innovation. As discussed by Kinkel, Baumgartner, Cherubini [ 36 ], our research also concludes that organizational factors have a particularly important role to play. After evaluating the individual drivers of AI adoption in production in detail in this qualitative synthesis, we draw a conclusion from the results and derive a research agenda from the analysis to serve as a basis for future research. The RQs emerged from the analyzed factors and are presented in Table  2 . We developed the questions based on the literature review and identified research gaps for every factor that was most frequently mentioned. From the factors analyzed and RQs developed, the internal environment has a strong influence on AI adoption in production, and organizational factors play a major role here.

Looking at the supercategory ‘business and environment’, performance indicators and investments are considered drivers of AI adoption in production. Indicators to measure the performance of AI innovations are necessary here so that managers can perform cost–benefit analyses and make the right decision for their company. There is a need for research here to support possible calculations and show managers a comprehensive view of the costs and benefits of technology in production. In terms of budget, it should be noted that AI adoption involves a considerable financial outlay that must be carefully weighed and some capital must be available to carry out the necessary implementation efforts (e.g., staffing costs, machine retrofits, change management, and external IT service costs). Since AI adoption is a complex process and turnkey solutions can seldom be implemented easily and quickly, but require many changes (not only technologically but also on an organizational level), it is currently difficult to estimate the necessary budgets and thus make them available. Especially the factors of the supercategory ‘organizational effectiveness’ drive AI adoption in production. Trust of the workforce is considered an important driver, which must be created in order to successfully implement AI. This requires measures that can support management in building trust. Closely related to this are the necessary change management processes that must be initiated to accompany the changes in a targeted manner. Management itself must also play a clear role in the introduction of AI and communicate its support, as this also influences the adoption. The development of clear processes and measures can help here. Developing roadmaps for AI adoption can facilitate the adoption process and promote strategic integration with existing IT and business strategy. Here, best practice roadmaps and necessary action steps can be helpful for companies. Skills are considered the most important driver for AI adoption in manufacturing. Here, there is a lack of clear approaches that support companies in identifying the range of necessary skills and, associated with this, also opportunities to further develop these skills in the existing workforce. Also, building a culture of innovation requires closer research that can help companies foster a conducive environment for AI adoption and the integration of other smart technologies. Steps for developing a positive mindset require further research that can provide approaches for necessary action steps and measures in creating a positive digital culture. With regard to ‘technology and system’, the factors of IT infrastructure and security in particular are driving AI adoption in production. Existing IT systems must reach a certain maturity to enable AI adoption on a technical level. This calls for clear requirements that visualize for companies which systems and standards are in place and where developments are needed. Security must be continuously ensured, for which certain standards and action catalogs must be developed. With regard to the supercategory ‘data management’, the availability of data is considered the basis for successful AI adoption, as no AI can be successfully deployed without data. In the production context in particular, this requires developments that support companies in the provision of data, which usually arises from very heterogeneous sources and forms. Data analytics must also be closely examined, and production companies usually need external support in doing so. The multitude of data also requires big data storage capabilities. Here, groundwork is needed to show companies options about the possibilities of different storage options (e.g., on premis vs. cloud-based).

In the ‘regulatory environment’, ethics in particular is considered a driver of AI adoption in production. Here, fundamental ethical factors and frameworks need to be developed that companies can use as a guideline to ensure ethical standards throughout the process. Cooperations and environmental dynamism drive the supercategory ‘business environment’. Collaborations are necessary to successfully implement AI adoption and action is needed to create the necessary contact facilitation bodies. In a competitive environment, companies have to make quick decisions under strong pressure, which also affects AI adoption. Here, guidelines and also best practice approaches can help to simplify decisions and quickly demonstrate the advantage of the solutions. There is a need for research in this context.

4 Conclusions

The use of AI technologies in production continues to gain momentum as managers hope to increase efficiency, productivity and reduce costs [ 9 , 13 , 20 ]. Although the benefits of AI adoption speak for themselves, implementing AI is a complex decision that requires a lot of knowledge, capital and change [ 95 ] and is influenced by various internal and external factors. Therefore, managers are still cautious about implementing the technology in a production context. Our SLR seeks to examine the emergent phenomenon of AI in production with the precise aim of understanding the factors influencing AI adoption and the key topics discussed in the literature when analyzing AI in a production context. For this purpose, we use the current state of research and examine the existing studies based on the methodology of a systematic literature analysis and respond to three RQs.

We answer RQ1 by closely analyzing the literature selected in our SLR to identify trends in current research on AI adoption in production. In this process, it becomes clear that the topic is gaining importance and that research has increased over the last few years. In the field of production, AI is being examined from various angles and current research addresses aspects from a business, human and technical perspective. In our response to RQ2 we synthesized the existing literature to derive 35 factors that influence AI adoption in production at different levels from inside or outside the organization. In doing so, we find that AI adoption in production poses particularly significant challenges to organizational effectiveness compared to other digital technologies and that the relevance of data management takes on a new dimension. Production companies often operate more traditionally and are sometimes rigid when it comes to change [ 96 , 97 ], which can pose organizational challenges when adopting AI. In addition, the existing machines and systems are typically rather heterogeneous and are subject to different digitalization standards, which in turn can hinder the availability of the necessary data for AI implementation [ 98 , 99 ]. We address RQ3 by deriving a research agenda, which lays a foundation for further scientific research and deepening the understanding of AI adoption in production. The results of our analysis can further help managers to better understand AI adoption and to pay attention to the different factors that influence the adoption of this complex technology.

4.1 Contributions

Our paper takes the first step towards analysing the current state of the research on AI adoption from a production perspective. We represent a holistic view on the topic, which is necessary to get a better understanding of AI in a production-context and build a comprehensive view on the different dimensions as well as factors influencing its adoption. To the best of our knowledge, this is the first contribution that systematises research about the adoption of AI in production. As such, it makes an important contribution to current AI and production research, which is threefold:

First, we highlight the characteristics of studies conducted in recent years on the topic of AI adoption in production, from which several features and developments can be deduced. Our results confirm the topicality of the issue and the increasing relevance of research in the field.

Having laid the foundations for understanding AI in production, we focused our research on the identification and systematization of the most relevant factors influencing AI adoption in production at different levels. This brings us to the second contribution, our comprehensive factor analysis of AI adoption in production provides a framework for further research as well as a potential basis for managers to draw upon when adopting AI. By systematizing the relevant factors influencing AI adoption in production, we derived a set of 35 researched factors associated with AI adoption in production. These factors can be clustered in two areas of analysis and seven respective supercategories. The internal environment area includes four levels of analysis: ‘business and structure’ (focusing on financial aspects and firm characteristics), ‘organizational effectiveness’ (focusing on human-centred factors), ‘technology and system’ (based on the IT infrastructure and systems) as well as ‘data management’ (including all data related factors). Three categories are assigned to the external environment: the ‘regulatory environment’ (such as ethics and the regulatory forms), the ‘business environment’ (focused on cooperation activities and dynamics in the firm environment) and the ‘economic environment’ (related to sectoral and country specifics).

Third, the developed research plan as outlined in Table  2 serves as an additional outcome of the SLR, identifying key RQs in the analyzed areas that can serve as a foundation for researchers to expand the research area of AI adoption in production. These RQs are related to the mostly cited factors analyzed in our SLR and aim to broaden the understanding on the emerging topic.

The resulting insights can serve as the basis for strategic decisions by production companies looking to integrate AI into their processes. Our findings on the factors influencing AI adoption as well as the developed research agenda enhance the practical understanding of a production-specific adoption. Hence, they can serve as the basis for strategic decisions for companies on the path to an effective AI adoption. Managers can, for example, analyse the individual factors in light of their company as well as take necessary steps to develop further aspects in a targeted manner. Researchers, on the other hand, can use the future research agenda in order to assess open RQs and can expand the state of research on AI adoption in production.

4.2 Limitations

Since a literature review must be restricted in its scope in order to make the analyses feasible, our study provides a starting point for further research. Hence, there is a need for further qualitative and quantitative empirical research on the heterogeneous nature of how firms configure their AI adoption process. Along these lines, the following aspects would be of particular interest for future research to improve and further validate the analytical power of the proposed framework.

First, the lack of research on AI adoption in production leads to a limited number of papers included in this SLR. As visualized in Fig.  2 , the number of publications related to the adoption of AI in production has been increasing since 2018 but is, to date, still at an early stage. For this reason, only 47 papers published until May 2024 addressing the production-specific adoption of AI were identified and therefore included in our analysis for in-depth investigation. This rather small number of papers included in the full-text analysis gives a limited view on AI adoption in production but allows a more detailed analysis. As the number of publications in this research field increases, there seems to be a lot of research happening in this field which is why new findings might be constantly added and developed as relevant in the future [ 39 ]. Moreover, in order to research AI adoption from a more practical perspective and thus to build up a broader, continuously updated view on AI adoption in production, future literature analyses could include other publication formats, e.g. study reports of research institutions and companies, as well discussion papers.

Second, the scope of the application areas of AI in production has been increasing rapidly. Even though our overview of the three main areas covered in the recent literature serves as a good basis for identifying the most dominant fields for AI adoption in production, a more detailed analysis could provide a better overview of possibilities for manufacturing companies. Hence, a further systematisation as well as evaluation of application areas for AI in production can provide managers with the information needed to decide where AI applications might be of interest for the specific company needs.

Third, the systematisation of the 35 factors influencing AI adoption in production serve as a good ground for identifying relevant areas influenced by and in turn influencing the adoption of AI. Further analyses should be conducted in order to extend this view and extend the framework. For example, our review could be combined with explorative research methods (such as case studies in production firms) in order to add the practical insights from firms adopting AI. This integration of practical experiences can also help exploit and monitor more AI-specific factors by observing AI adoption processes. In enriching the factors through in-depth analyses, the results of the identified AI adoption factors could also be examined in light of theoretical contributions like the technology-organization-environment (TOE) framework [ 47 ] and other adoption theories.

Fourth, in order to examine the special relevance of identified factors for AI adoption process and thus to distinguish it from the common factors influencing the adoption of more general digital technologies, there is a further need for more in-depth (ethnographic) research into their impacts on the adoption processes, particularly in the production context. Similarly, further research could use the framework introduced in this paper as a basis to develop new indicators and measurement concepts as well as to examine their impacts on production performance using quantitative methods.

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Heimberger, H., Horvat, D. & Schultmann, F. Exploring the factors driving AI adoption in production: a systematic literature review and future research agenda. Inf Technol Manag (2024). https://doi.org/10.1007/s10799-024-00436-z

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