Types of Literature Review
Types of literature review refer to different approaches used to collect, analyse and synthesise existing research on a topic. The choice of literature review type depends on the research objectives, research design, and the level of depth and structure required in the study.
On this page:
- Types of Literature Review Explained Simply
- Brief Overview of Common Types of Literature Review
- How to Choose the Right Literature Review Type
- Literature Reviews in the Age of AI and Digital Research
| Type | Purpose | Approach | Typical Use |
|---|---|---|---|
| Narrative | Summarise and critique literature | Flexible | Most dissertations |
| Systematic | Comprehensive and structured review | Rigorous | Evidence-based studies |
| Scoping | Map existing literature | Exploratory | New or broad topics |
| Argumentative | Support or refute a position | Selective | Theoretical debates |
| Integrative | Develop new frameworks | Mixed | Conceptual studies |
| Theoretical | Analyse existing theories | Conceptual | Theory development |
Types of literature review at a glance
Types of Literature Review Explained Simply
A literature review is much more than a summary of books, journal articles, and reports. Different types of literature reviews serve different research purposes. Some focus on summarising and evaluating existing knowledge, while others aim to identify research gaps, compare competing theories, map emerging research areas, or develop new conceptual frameworks.
The choice of literature review type should always align with your research objectives, research methodology, and the nature of your research question. For example, a dissertation exploring employee motivation may only require a narrative literature review, whereas a study evaluating the effectiveness of remote working across multiple industries may benefit from a systematic literature review.
Understanding the different types of literature reviews helps researchers select the most appropriate approach for organising and analysing existing knowledge.
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Brief Overview of Common Types of Literature Review
There are many types of literature review. The choice of a specific type depends on your research approach and design. The following types of literature review are the most popular in business studies.
Narrative Literature Review
Narrative literature review, sometimes referred to as a traditional literature review, is the most common type used in undergraduate and postgraduate dissertations. It involves reviewing, evaluating, and synthesising existing literature in order to provide an overview of current knowledge relating to a specific research topic.
A narrative review allows researchers to identify major themes, compare findings from different studies, highlight inconsistencies, and identify gaps within the literature. The process is relatively flexible compared to more structured review methods, making it suitable for most business research projects.
For example, a dissertation examining employee motivation in the hospitality industry may use a narrative review to compare different motivational theories and evaluate their relevance to contemporary workplaces. Similarly, researchers studying organisational culture at Netflix may review existing literature on corporate culture, leadership, and employee performance before developing their own conceptual framework.
Systematic Literature Review
Systematic literature review follows a highly structured and transparent process designed to minimise bias and ensure comprehensive coverage of relevant literature. Researchers establish explicit search criteria, define inclusion and exclusion rules, and document every stage of the review process.
Unlike narrative reviews, systematic reviews seek to answer very specific research questions through rigorous evaluation of existing evidence.
For example, a researcher investigating whether remote working improves employee productivity may systematically review all relevant studies published within a specified period. Rather than selecting studies subjectively, predefined criteria determine which studies are included in the review.
Systematic reviews are particularly common in healthcare research but are becoming increasingly popular in business disciplines where evidence-based decision-making is important.
Two common forms of systematic review are meta-analysis and meta-synthesis.
Meta-analysis combines quantitative findings from multiple studies using statistical techniques. Researchers analyse data from several independent studies to identify overall patterns, relationships, and effect sizes.
For example, a meta-analysis may combine findings from dozens of studies examining the relationship between employee engagement and organisational performance to determine the overall strength of that relationship.
Meta-synthesis focuses on qualitative studies rather than numerical findings. Researchers integrate and interpret qualitative evidence from multiple studies to generate broader insights and conceptual understanding.
For example, a meta-synthesis may combine interview-based studies exploring employee experiences of remote working across different industries and countries.
Scoping Literature Review
Scoping literature review aims to map the existing body of knowledge relating to a broad or emerging topic. Rather than answering a highly specific research question, scoping reviews seek to identify key themes, concepts, research gaps, and areas requiring further investigation.
This type of review is particularly useful when a topic is relatively new or when researchers are unsure about the scope of existing evidence.
For example, a researcher exploring the impact of generative AI on business decision-making may initially conduct a scoping review to understand the range of issues being discussed in the literature before developing more focused research questions.
Because AI adoption, sustainability, digital transformation, and platform-based business models are rapidly evolving areas, scoping reviews are becoming increasingly common in contemporary business research.
Argumentative Literature Review
Argumentative literature review selectively examines literature in order to support or challenge a particular position, assumption, or theoretical perspective.
Rather than providing a balanced overview of all available evidence, this approach focuses on constructing a persuasive argument based on selected sources. As a result, argumentative reviews can be useful for theoretical debates but may also introduce a greater risk of bias.
For example, a researcher may argue that artificial intelligence will fundamentally transform management practices and selectively examine literature supporting this viewpoint. Alternatively, another researcher may focus on evidence highlighting the limitations of AI adoption in organisations.
Because of the potential for selective interpretation, researchers should use argumentative reviews carefully and acknowledge possible biases.
Integrative Literature Review
Integrative literature review seeks to review, evaluate, and synthesise diverse sources of evidence in order to generate new perspectives, frameworks, or conceptual models.
Unlike systematic reviews that focus on answering specific questions, integrative reviews aim to create broader understanding by combining findings from multiple research traditions and methodologies.
This approach is particularly useful when researchers seek to develop new theoretical frameworks or conceptual models.
For example, a researcher may integrate literature on leadership, digital transformation, organisational culture, and innovation to develop a new framework explaining successful AI adoption within organisations. Companies such as Microsoft and Amazon are frequently discussed in such studies because they provide rich examples of large-scale digital transformation.
Integrative reviews are especially valuable for conceptual and theory-building research.
Theoretical Literature Review
Theoretical literature review focuses specifically on theories, models, and conceptual perspectives relating to a research topic.
The objective is not merely to summarise literature but to analyse existing theories, examine relationships between them, identify theoretical gaps, and suggest directions for future theory development.
For example, a researcher investigating consumer behaviour may compare behavioural economics theory, planned behaviour theory, and consumer decision-making models to evaluate their ability to explain online purchasing behaviour.
Similarly, studies examining organisational performance may compare resource-based theory, dynamic capabilities theory, and institutional theory in order to identify their relative strengths and limitations.
Theoretical reviews often serve as the foundation for developing new hypotheses and conceptual frameworks.
How to Choose the Right Literature Review Type
The choice of literature review type should always align with the research objectives and methodology of the study.
For example:
- narrative reviews are suitable for most undergraduate and postgraduate dissertations
- systematic reviews are more appropriate for evidence-based or highly rigorous studies
- scoping reviews work well for emerging topics
- theoretical reviews are useful for conceptual research
- integrative reviews are suitable for framework development
At the earlier parts of the literature review chapter, you need to specify the type of your literature review your chose and justify your choice. Your choice of a specific type of literature review should be based upon your research area, research problem and research methods. Also, you can briefly discuss other most popular types of literature review mentioned above, to illustrate your awareness of them.
Literature Reviews in the Age of AI and Digital Research
AI and digital technologies are significantly changing the way literature reviews are conducted in business and academic research. Researchers increasingly use AI-powered tools to search for academic sources, identify relevant keywords, summarise articles, organise references, and detect patterns across large volumes of literature.
Traditionally, conducting a literature review required researchers to manually search databases, read large numbers of journal articles individually, and organise findings manually. Modern AI-assisted tools can now speed up many of these tasks by helping researchers identify relevant studies more efficiently and organise information in a more structured manner.
For example, AI tools can help researchers quickly identify frequently discussed themes within hundreds of articles related to topics such as artificial intelligence in business, remote working, sustainability, or digital transformation. Citation management software can also automatically organise references and generate citations in formats such as Harvard or APA.
In addition, AI-powered academic search platforms can recommend related articles, identify influential authors, and help researchers discover connections between studies that may otherwise be overlooked. This can improve the breadth and efficiency of literature reviews, particularly in rapidly evolving research areas where large volumes of new studies are published continuously.
However, despite these advantages, AI-assisted literature reviews also introduce important limitations and risks. AI-generated summaries may oversimplify complex arguments, ignore methodological weaknesses, or overlook contradictory findings within the literature. In some cases, AI systems may prioritise highly cited or easily accessible sources while neglecting less visible but academically important studies.
Researchers must therefore critically evaluate all sources and avoid relying entirely on automated summaries or recommendations. AI tools can assist with information processing, but they cannot replace human judgement, critical thinking, and academic interpretation.
This is especially important in business studies, where understanding context, organisational differences, cultural factors, and practical implications often requires deeper human analysis beyond automated pattern recognition.
As AI technologies continue to evolve, literature reviews are likely to become increasingly technology-assisted. Nevertheless, researchers remain fully responsible for ensuring the quality, credibility, accuracy, and originality of the literature review process.
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[1] Munn, A. et. al. (2018) “Systematic review or scoping review? Guidance for authors when choosing between a systematic or scoping review approach” BMC Medical Research Methodology