How to Conduct a Systematic Literature Review: A Step-by-Step Guide for PhD Scholars

Introduction

Research scholars often need to examine a large number of academic publications before starting a new study. Reading individual research papers is important, but collecting information without a clear process can make it difficult to understand the overall research landscape. A systematic literature review provides a structured way to search, select, evaluate, and analyse existing research.

For PhD scholars, postgraduate students, and academic researchers, conducting a systematic review can help answer specific research questions, identify patterns in previous findings, and understand where further investigation is needed.

However, a systematic literature review requires more than searching for articles on Google Scholar. Researchers need a clear review question, suitable academic databases, defined selection criteria, a transparent screening process, and a consistent approach to analysing the selected studies.

In this article, we explain how to conduct a systematic literature review, its important stages, common challenges, and practical tips for preparing a well-organized academic review.

What Is a Systematic Literature Review?

A systematic literature review (SLR) is a structured approach to identifying, selecting, evaluating, and synthesizing research publications related to a specific research question.

Unlike an informal literature search, a systematic review follows a planned process. Researchers explain where they searched, which keywords they used, how they selected publications, and how they evaluated the available evidence.

For example, a researcher studying the use of artificial intelligence in higher education may want to understand how AI-based learning tools influence student engagement.

Instead of selecting a few articles randomly, the researcher can develop a review question, search relevant databases, define publication criteria, screen the results, and analyse the eligible studies.

This process makes the review more transparent and allows readers to understand how the conclusions were developed.

Why Is a Systematic Literature Review Important?

A systematic review can be useful when researchers need a comprehensive and clearly documented understanding of existing evidence.

1. Provides a Structured Research Process

A systematic review follows predefined steps. This reduces the risk of selecting studies only because they support the researcher's personal expectations.

2. Identifies Patterns in Previous Research

By examining several studies together, researchers can identify common findings, differences in results, and recurring research themes.

3. Helps Identify Research Gaps

A systematic review may reveal areas where research evidence is limited, inconsistent, or missing. These findings can help researchers develop new research questions.

4. Supports Evidence-Based Conclusions

A properly conducted review uses relevant academic evidence rather than relying on unsupported assumptions or individual opinions.

5. Helps Avoid Unnecessary Repetition

Understanding previous research helps scholars recognize what has already been investigated and where additional research may provide value.

Systematic Literature Review vs Traditional Literature Review

Both approaches examine existing academic publications, but they differ in their purpose and process.

The right approach depends on the research objectives. Not every PhD thesis requires a systematic review. Researchers should select the review type according to their research question and university requirements.

Important Steps to Conduct a Systematic Literature Review

A systematic literature review should be planned before the researcher begins collecting articles. The following steps provide a practical structure.

Step 1: Define a Clear Research Question

Start by deciding exactly what you want your review to investigate.

A broad topic such as artificial intelligence in education may produce too many unrelated publications. A focused question makes the search process more manageable.

For example:

Broad topic: Artificial Intelligence in Education

Focused review question: How are AI-based learning tools being used to improve student engagement in higher education?

A focused question helps determine the keywords, databases, selection criteria, and information that needs to be extracted from each study.

Depending on the subject, researchers may use frameworks such as PICO, PICOS, or other question-development approaches.

Step 2: Prepare a Review Protocol

A review protocol describes how the systematic review will be conducted.

It should generally explain:

• The research question
• Academic databases to be searched
• Search terms and keyword combinations
• Publication date limits, if applicable
• Inclusion criteria
• Exclusion criteria
• Screening procedures
• Data extraction methods
• Quality assessment approach
• Planned method of synthesis

Preparing a protocol before screening helps researchers maintain consistency throughout the review.

For reviews in fields where protocol registration is appropriate, researchers can consider a suitable registration platform or repository.

Step 3: Select Relevant Academic Databases

Choose databases according to your subject and research question.

Some commonly used academic databases and platforms include:

• Scopus: Provides access to research publications across many academic disciplines.
• Web of Science: Offers scholarly literature and citation information across subject areas.
• PubMed: Particularly useful for biomedical and life sciences research.
• IEEE Xplore: Useful for engineering, computing, and technology publications.
• ScienceDirect: Provides access to research publications across several disciplines.
• Google Scholar: Helps discover scholarly articles, theses, books, and other academic sources.

The selection of databases should be justified. Researchers should also understand that no single database covers every relevant publication.

Step 4: Develop Search Keywords and Search Strings

Prepare keywords that directly relate to your review question.

For example, a review about AI-based learning and student engagement may use:

• Artificial intelligence
• AI-based learning
• Higher education
• Student engagement
• Digital learning
• Intelligent tutoring systems

Combine terms using Boolean operators:

AND: Narrows the search by requiring both terms.

OR: Expands the search by including alternative terms.

NOT: Excludes specified terms when appropriate, but should be used carefully because it may remove relevant publications.

Illustrative search string:

("artificial intelligence" OR "AI-based learning") AND ("higher education" OR university) AND ("student engagement" OR learning engagement)

Search syntax differs between databases. Researchers should adapt the search string to the platform and record the final version used.

Step 5: Define Inclusion and Exclusion Criteria

Before selecting articles, establish rules for deciding which publications are suitable for the review.

Inclusion criteria describe the characteristics a publication must have to be considered.

Examples may include:

• Studies directly related to the research question
• Publications within a defined date range
• Articles written in selected languages
• Peer-reviewed research papers
• Studies using specified research designs

Exclusion criteria describe publications that will not be included.

Examples may include:

• Duplicate records
• Articles unrelated to the research question
• Publications without sufficient information for evaluation
• Sources outside the defined scope
• Studies that do not meet the required eligibility criteria

The criteria should be established before screening begins and applied consistently.

Step 6: Screen the Retrieved Research Papers

Database searches may produce hundreds or even thousands of results. Researchers need to examine these records carefully.

A typical screening process includes:

Duplicate removal: Identify and remove repeated records found across databases.

Title screening: Check whether the publication title appears relevant to the review question.

Abstract screening: Examine the abstract to decide whether the publication meets the initial selection criteria.

Full-text screening: Read the complete publication to confirm its eligibility.

Keep records of excluded publications and the reasons for exclusion at the appropriate screening stage.

Step 7: Extract Information from Selected Studies

After screening, organize important information from every included study.

A data extraction sheet can make this process easier.

The information should be recorded accurately. Researchers should refer to the original papers rather than relying only on summaries or secondary sources.

Step 8: Assess the Quality of Included Studies

Not every publication provides the same level of evidence. Researchers should assess the quality and relevance of the included studies using an appropriate appraisal method.

Depending on the type of research, this may involve examining:

• Research design
• Sample selection
• Data collection procedures
• Measurement quality
• Risk of bias
• Data analysis
• Reporting transparency

Different research designs may require different quality assessment tools. The selected tool should match the studies being reviewed.

Step 9: Analyse and Synthesize the Findings

After extracting the information, organize the findings into a meaningful discussion.

Common synthesis approaches include:

Narrative synthesis: Describes and compares the findings of included studies in a structured written discussion.

Thematic synthesis: Groups findings into common themes and patterns.

Quantitative synthesis: Uses numerical methods to combine results when the available studies and data are sufficiently comparable.

Meta-analysis: A statistical technique that combines numerical results from multiple studies using appropriate methods. It is not suitable for every systematic review.

The synthesis should explain what the evidence shows, where studies agree or disagree, and what limitations affect the conclusions.

Step 10: Write the Systematic Review Report

The final report should explain the review process and present the findings clearly.

A typical structure may include:

1. Title
2. Abstract
3. Introduction
4. Review objectives and research questions
5. Methodology
6. Search strategy
7. Inclusion and exclusion criteria
8. Study selection
9. Results
10. Quality assessment
11. Discussion
12. Limitations
13. Conclusion
14. References
15. Supplementary materials, where required

Follow the reporting guidance relevant to your research area. PRISMA 2020 is widely used for reporting systematic reviews, particularly in health-related research. Its checklist and flow diagram can also be useful in other fields where appropriate.

What Is the PRISMA Framework in a Systematic Literature Review?

PRISMA stands for Preferred Reporting Items for Systematic Reviews and Meta-Analyses.

PRISMA 2020 provides reporting guidance to help researchers explain how a systematic review was conducted and what it found.

It includes:

• A reporting checklist
• A flow diagram for study selection
• Guidance on reporting search and screening procedures
• Recommendations for describing included studies and review findings

The PRISMA flow diagram helps show how many records were identified, screened, excluded, and included in the final review.

It is important to understand that PRISMA is primarily a reporting guideline. Following its checklist does not automatically make a review methodologically sound. Researchers must still conduct a careful and transparent review process.

Common Challenges in Conducting a Systematic Literature Review

Researchers may face several difficulties while preparing a systematic review.

1. Too Many Search Results

Searching broad keywords can produce a large number of publications. A focused research question and carefully developed search strategy can make screening more manageable.

2. Finding Relevant Publications

Some important studies may use different terminology or keywords. Researchers should consider synonyms and alternative search combinations.

3. Managing References

Keeping track of article details, citations, and duplicate records can become difficult. Reference management tools can help organize the research material.

4. Applying Selection Criteria Consistently

Researchers may disagree about whether a particular publication meets the eligibility requirements. Clear criteria and documented screening decisions can reduce confusion.

5. Comparing Different Research Methods

Studies may use different samples, measurements, and research designs. Researchers should explain these differences rather than treating all findings as directly comparable.

6. Avoiding Bias

Selective searching or excluding studies without clear reasons can affect the review. A transparent protocol and consistent screening process help reduce this risk.

Useful Tools for Systematic Literature Review

Several tools can support different stages of a systematic review.

Tools can make the process more organized, but researchers must still verify the information, make appropriate academic decisions, and document their methods.

How StuIntern Supports Literature Review Preparation

A systematic literature review requires planning, academic reading, source evaluation, reference management, and clear presentation of findings. PhD scholars and postgraduate students may need guidance when organizing large amounts of research material or preparing a structured review chapter.

StuIntern provides academic research support, including literature review assistance and guidance related to research gaps, methodology, and academic writing.

Support may help researchers with:

• Planning a literature review structure
• Organizing relevant research publications
• Developing research themes
• Comparing previous studies
• Identifying areas requiring further investigation
• Citation and reference formatting
• Reviewing academic writing for clarity

Researchers should ensure that the final review accurately represents the original publications and follows their university's academic integrity requirements.

Frequently Asked Questions (FAQs)

1. What is a systematic literature review?

A systematic literature review is a structured process for searching, selecting, evaluating, and synthesizing academic publications to answer a specific research question.

2. What are the main steps in a systematic literature review?

The main steps include defining a research question, preparing a protocol, selecting databases, developing search terms, setting eligibility criteria, screening studies, extracting data, assessing quality, synthesizing findings, and writing the report.

3. What is the difference between a systematic and a traditional literature review?

A traditional literature review may use a flexible approach to discussing previous research. A systematic review follows a predefined and documented process for searching, selecting, and evaluating studies.

4. What is PRISMA in systematic literature review?

PRISMA 2020 is a reporting guideline that helps researchers transparently report systematic reviews. It includes a checklist and a flow diagram for presenting the study selection process.

5. How many research papers should be included in a systematic review?

There is no fixed number. The final number depends on the research question, search strategy, available evidence, and eligibility criteria. Researchers should include all relevant studies that meet the predefined criteria.

6. Which databases are useful for systematic literature reviews?

Scopus, Web of Science, PubMed, IEEE Xplore, and other subject-specific databases may be useful. The choice depends on the research discipline and review question.

7. Can Google Scholar be used for a systematic literature review?

Google Scholar can help discover relevant publications. However, researchers should carefully document their search process and consider using suitable subject-specific databases as well.

8. Is a systematic literature review suitable for every PhD thesis?

No. It depends on the research objectives and questions. Some PhD projects require a narrative review, while others may benefit from a systematic, scoping, or other review approach.

9. What is the difference between a systematic review and a meta-analysis?

A systematic review is a structured process for identifying and synthesizing research. A meta-analysis is a statistical method that may be used to combine numerical findings from sufficiently comparable studies.

Conclusion

A systematic literature review helps researchers examine existing academic evidence through a clear and transparent process. It requires a focused research question, a well-planned search strategy, suitable selection criteria, careful evaluation of studies, and meaningful synthesis of findings.

For PhD scholars, following these steps can make the review more organized and help establish a stronger foundation for further research. The most important thing is to document the process honestly, use reliable academic sources, and ensure that conclusions are supported by the available evidence.

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