Next Article in Journal
Lightweight Hardware Security Framework for IoT-Based Photovoltaic Monitoring Systems Using OTP and SRAM-PUF
Previous Article in Journal
Expert-Based Evaluation and Simulation Validation of a Smart Emergency Response System for Urban Settings in Resource-Constrained Environments
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

How to Write a Relevant, Accurate and Sustainable Literature Review Using a Generally Accepted Research Protocol (GARP): A Multidisciplinary Mixed Research Method

by
Jonathan Dior Nima Ngapey
*,
Naiping Zhu
and
Jean Baptiste Bernard Pea-Assounga
School of Finance and Economics, Jiangsu University, Zhenjiang 212013, China
*
Author to whom correspondence should be addressed.
Information 2026, 17(6), 583; https://doi.org/10.3390/info17060583
Submission received: 30 March 2026 / Revised: 17 May 2026 / Accepted: 25 May 2026 / Published: 11 June 2026

Abstract

The objective of this paper is to design a Generally Accepted Research Protocol (GARP) for conducting literature reviews, aimed at guiding new researchers and assisting editors, practitioners, experts, and reviewers in understanding the essential steps and processes of writing a Literature Review Paper (LRP). To achieve this, we collected a total of n = 2405 peer-reviewed research and review articles across three disciplinary groups—Education and Engineering, Medical Sciences, and Accounting, Finance, Economics, and Management (AFEM)—from seven databases (Elsevier, Emerald, Nature Portfolio, Springer Nature & Link, Taylor & Francis, Wiley, and Google Scholar) published between 1999 and March 2025. We conducted five (5) cycles of descriptive and semi-qualitative content analysis following the GARP method developed in this study and identified n = 115 relevant articles, which form the foundational core of the GARP Framework presented in this study. Our findings also reveal that several similar initiatives have been undertaken across the analyzed disciplines, with most of these studies focusing on systematic review guidelines based on the PRISMA statement and designed for discipline-specific applications. Our method differs from previous initiatives by proposing a universal alternative method for literature review writing. The goal is to reduce the noise (propositions and steps) by focusing on the steps that really matter when writing a synthesis: data collection, data processing, and data reporting.

1. Introduction

A literature review is a research synthesis and a major step of a research article. It is generally referred to as a review article in the first case and included as a section in the second case. In a research article (often Section 2), a literature review consists of a summary of prior studies related to the discussed topic or subject, the citation of theories involved (if any), the definition of key concepts, the development of the hypotheses, or the research background, or the response to the research questions of the study at hand via prior studies’ results [1,2,3,4,5,6,7,8]. As a review article, a literature review is an alternative type of research, complex or simple in nature (paradoxical) depending on the method, purpose, objectives, and research questions [9,10,11,12,13,14,15,16,17,18].
A literature review article consists of several sections (four to six in general) including or excluding a methodology section, and often without a literature review, depending on the methodology [19,20,21,22,23]. While the objective of a literature review section is to briefly summarize prior studies related to the researched subject and serve as a foundation for the practical/experimental section (methodology), a review article seeks to give an extended summary of prior studies to better understand the past, present, and possible future direction of a particular subject, topic, or concept; support an opinion; test a hypothesis; justify the development of a model, framework, guideline, methodology, and/or system; and develop a new theory.
In the past two decades, a myriad of review articles have been conducted by researchers and scholars across disciplines for various reasons and purposes all over the world [2,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39]. Such interest is not only due to its simplicity, complexity, and compulsory nature in regard to the research methodology and section, but also to its ability to summarize, define, clarify, and identify gaps and future directions of a particular subject or topic. The potentiality of bringing clarity to chaos makes a literature review one of the preferred research types of academicians and scholars globally. However, this interest has given birth to several types of literature review conducted using different and/or slightly similar methods across disciplines, which makes it difficult or impossible for researchers to effectively compare, judge, or reproduce.
Given comparability and replicability being the core and essence of scientific research, there is a need for a Generally Accepted Research Protocol (GARP) for literature review articles to serve as a foundation for all researchers and an alternative to the existing various methods. Several researchers have made various propositions, designed adequate models, and developed suitable conceptual frameworks to conduct a literature review; however, there is still no GARP or standalone methodology on “how to conduct a literature review” due to the lack of consensus on the subject but most importantly because of the particularity of disciplines, the variety of field experts, and the divergence of opinion in regard to how to conduct a literature review [2,10,24,26,40,41].
It is important to note that while the methodology of review articles differs from one researcher to another because of the reasons stated above, a systematic review and mixed literature review are the leading types of review articles conducted by researchers across the disciplines selected for this study due to their flexibility (mixed review) and special characteristics—meta-analysis and protocol (systematic review). The objective of this research is to propose a relevant, accurate, and sustainable method for literature review writing (GARP-4-LR) and fill the gaps of previous studies by conducting a multidisciplinary research analysis; the goal is to design an alternative universal framework for literature review. To accomplish this, we collected 2405 articles from seven (7) reputable publishers and one supporting database published between 1999 and 2025 (March) and conducted a series of descriptive and semi-qualitative content analyses to reach a final sample size of 115 articles that we use as the foundation for the design of the GARP framework To reach this conclusion, we address the following questions:
  • RQ1: What is a literature review?
  • RQ2: How many types of literature review are there?
  • RQ3: Does it matter to write a literature review?
  • RQ4: What are the challenges researchers face when writing a literature review?
  • RQ5: Which type of literature review is dominant across the presently studied disciplines?
  • RQ6: How to write a literature review?
Despite the widespread adoption of rigorous protocols such as PRISMA and SPAR 4 SLR, a truly universal and discipline-agnostic framework that focuses exclusively on the essential synthesis tasks—data collection, data processing, and data reporting—remains absent. Existing guidelines are often tailored to specific fields (e.g., PRISMA’s original orientation toward health sciences) or incorporate extensive checklists and decision points that, while valuable, can overwhelm novice researchers and slow the review process. The present study addresses this gap by introducing the GARP 4LR framework, a streamlined, 24-step protocol distilled from a large-scale, multidisciplinary content analysis. A detailed comparison with PRISMA 2020 and SPAR 4 SLR is provided in Section 5.1 highlighting how GARP 4LR reduces procedural “noise” while maintaining methodological rigor. Furthermore, a short focus framework derived from the full protocol (Section 4.2) is offered to guide users toward the core actions that really matter in a literature synthesis.
By answering these questions, this study will contribute to the literature on review writing, fill the gaps of previous research, propose a new guideline (GARP) for literature review, serve as a guideline and model for students, educators, reviewers, editors, and practitioners across various disciplines, and identify and propose future directions for writing a literature review.
The following Table 1 shows a summary of the scope of this study.
The remaining part of this research is designed as follows: Section 2 reviews the literature on how to write a literature review article, Section 3 describes the methodology, Section 4 displays the results and findings, Section 5 discusses the results and findings, and Section 5 concludes the research by synthesizing the findings, addressing the limitations and proposing some recommendations and future directions.

2. Literature Review

What is a literature review?
A literature review synthesizes previous research to address a specific goal using either original or established methods [24,41]. Wee and Banister [42] define it as a structured journal paper that organizes and adds value to existing literature in a specific field. This excludes more quantitative approaches like meta-analyses or scientometric studies [43]. A systematic literature review follows a structured process to evaluate literature on a specific research question [44]. It identifies, appraises, and summarizes empirical evidence. Meta-analysis statistically analyzes results when appropriate [10].
How many types of literature reviews are there?
Several review articles have been published across various disciplines. Some classify literature review papers (LRPs) into distinct types [24,45,46,47,48], while others mention only dominant categories like systematic, narrative, scoping, integrative, conceptual, qualitative, quantitative, and mixed reviews. Some studies avoid classification due to its complexity or limited research scope. For example, Wee and Banister [42] note that transport research uses diverse methods, while engineering and physics emphasize less stochastic variability than the social sciences. Although they do not label LRP types explicitly, they describe reviews using criteria like research questions, methodology, theory, and structure.
Why does it matter to write a literature review?
Writing a literature review is a vital step for researchers seeking to understand a subject, propose solutions, or develop new theories [24,45]. According to Wee [26], literature review papers (LRPs) offer valuable, structured overviews of specific fields and highlight methodological strengths, weaknesses, and research implications—especially useful for newcomers. Literature reviews can serve as background in research articles, theses, project proposals [49], or standalone publications [50,51]. Often, they become milestone contributions [2,52].
Systematic literature reviews (SLRs) can challenge assumptions, identify problems, and spark new discussions [53]. They help address research questions beyond the scope of individual studies and support theory development [54,55]. SLRs demand careful planning, execution, and transparent reporting [24] and often adopt multidisciplinary approaches to bridge gaps between research fields. They are essential for identifying patterns, overlaps, and differences across disciplines [31]. SLRs can describe the state of literature, test hypotheses, critique findings, and extend existing knowledge [56]. Interdisciplinary SLRs integrate diverse methodologies to map and explain research landscapes [27,57,58].
Which types of literature review are dominant across the studied disciplines?
Systematic review articles have become the most trending types of literature review conducted by scholars across various disciplines, followed by mixed review articles, scoping literature reviews, and narrative literature reviews [45,53]. For instance, almost all PhD or large research project proposals in the management domain include such a standalone SLR to build a solid foundation for their subsequent work packages [24]. Moreover, the database of this study shows that SLR, MLR, and scoping literature are the dominant types of LRP across the studied disciplines; however, this may be related to the methodology and research approach applied during the paper collection phase.
Various frameworks, guidelines, methods, and procedures on how to conduct a literature review have been proposed by researchers from different fields in order to help researchers and make review articles more structured, impactful, and replicable [1,27,31,54,59,60,61].

2.1. Literature Review in Education and Engineering (Computer Science, Transportation, Information and Communication)

Numerous researchers have proposed various methods for writing literature review articles (LRAs) in fields such as education and engineering [31,62]. Wee [26] highlights that in transport studies, a broader range of methods is applied, making literature review approaches more diverse. In engineering and physics, stochastic components are often minimal or absent, unlike in the social sciences, which influences empirical review practices. The use of meta-analysis also varies across disciplines. For example, it is common in applied linguistics [63,64] but relatively new in psycholinguistics [65].
As knowledge syntheses become more prevalent, their roles in teaching, research, and practice have expanded [66]. This trend has led to more systematic, transparent, and reproducible review procedures [27,59]. However, traditional review methods have limitations, often being either cross-sectional or longitudinal. To address this, Kosztyan et al. [2] introduced the Systematic Iterative Multilayer Literature Review (SIMILAR) method, which integrates iterative refinement, multilayer network theory, and both cross-sectional and longitudinal analysis. Their findings showed that “theory development” and “narrative reviews” are the most cited categories, while critical reviews are fragmented and rarely interconnected.

2.2. Literature Review in Accounting, Finance, Economy, and Management (AFEM)

A literature review is a foundational component of research, particularly within the social sciences, due to the complex and often interdependent relationships among variables. In fields such as psychology, management, education, and public policy, independent variables like customer satisfaction or organizational performance are influenced by numerous known and unknown factors. These complexities make literature reviews essential tools for synthesizing fragmented knowledge, understanding causal relationships, identifying gaps, and guiding future inquiry [1,26,67,68].
Researchers conduct literature reviews for various reasons: to clarify and define concepts, summarize existing literature on a topic, develop or support new theories, or provide guidance on how to write effective literature review articles [1,19]. In the management domain, the use of systematic or structured literature reviews (SLRs) has grown significantly, with nearly 90% of SLRs published in the last decade. Despite their popularity, existing guidance tends to focus more on the technical conduct of reviews rather than on how to present findings in a compelling, theory-driven, and impactful manner [25,69].
Sauer [24] addresses this gap by offering an integrative review of leading SLR guidelines, proposing a six-step process further broken into 14 distinct decisions. These include forming a research question, identifying primary study characteristics, retrieving relevant literature, selecting and synthesizing sources, and finally reporting the findings. Rather than replicating existing models, Sauer enriches them by aligning methodological, theoretical, and practical insights, helping scholars design and publish high-impact, theory-based literature reviews.
Across the humanities and social sciences, debates continue over how to integrate divergent methodologies [70,71,72]. The emergence of new methodologies has opened opportunities to combine qualitative, quantitative, and mixed methods within literature reviews [27]. For instance, Kritzinger et al. [73] conducted a categorical review in the field of digital transformation in manufacturing. Their classification into Digital Model (DM), Digital Shadow (DS), and Digital Twin (DT) highlighted gaps in the literature, particularly in more advanced DT research, and served as a model for similar reviews in other fields.
Similarly, Qualitative Comparative Analysis (QCA) has become increasingly prominent in business and management research. However, Paola et al. [19] observed a disconnect between theoretical foundations and methodological applications in many QCA-based studies. Reviewing 675 articles, they found that most focused on method rather than theory. Moreover, they noted the frequent misuse of QCA for hypothesis testing, despite its incompatibility with set-theoretic principles. Their study provides rigorous guidelines for conducting and reporting QCA, emphasizing alignment between theory and method to improve configurational theorizing.
Other researchers have contributed by mapping the landscape of literature reviews across disciplines. For example, Gorman [3] analyzed 343 literature reviews in operations research and management science, identifying publication trends, key journals, geographic distribution, and thematic gaps. His work serves as a valuable resource for researchers looking to publish LRAs and for understanding where scholarly attention has been concentrated.
Meta-analytical approaches have also evolved to offer more sophisticated ways of synthesizing quantitative research. Kirca and Yaprak [13] explored the use of meta-analysis in international business literature over a 30-year span. Their review outlined the meta-analytic process and suggested future directions, highlighting how such techniques enhance theory development by enabling researchers to systematically analyze large volumes of empirical data.
Design science is another growing methodological approach, particularly relevant for applied disciplines such as purchasing and supply management (PSM). Stange et al. [22] argue that design science research—focused on creating, testing, and evaluating artifacts to solve real-world problems—remains underutilized in PSM, with less than 4% of publications in flagship journals reflecting this methodology. Their study aims to advance PSM by promoting design science as a legitimate and necessary complement to traditional research methods.
Design science differs from classical research in that it produces actionable, normative, and prescriptive knowledge, rather than descriptive insights. While classical research seeks to explain existing phenomena, design science aims to build solutions—artifacts such as tools, models, or frameworks—that address stakeholder needs [74,75,76]. This approach closes the gap between academic rigor and practical relevance, helping to address critiques that academic research often lacks real-world applicability [77].
To support PSM scholars in conducting and publishing design-oriented research, Stange et al. [22] offer publication guidelines aimed at researchers, editors, reviewers, and practitioners. These guidelines clarify how to present design science research in academic journals, including outlining the necessary steps in the research process and how to communicate findings effectively. Their contribution emphasizes that design science, when rigorously applied, is equal in scientific value to classical methodologies and can generate highly relevant and impactful knowledge.
The present study aligns with this broader movement toward improving the quality and relevance of literature review articles. Inspired by existing gaps and innovations in literature review methodology, we propose a new approach—GARP4LR (Guided, Analytical, Reflexive, and Practical framework for Literature Reviews). This model aims to support researchers in navigating the increasingly complex landscape of literature review writing. GARP4LR integrates methodological rigor with theoretical depth and practical orientation. By doing so, it empowers scholars to produce reviews that are not only methodologically sound but also theoretically rich and directly relevant to their fields.
Just as meta-analysis, QCA, and design science have reshaped how we synthesize knowledge, GARP4LR seeks to establish a standard for writing impactful, publishable, and meaningful literature review articles. We are confident that when applied properly, GARP4LR can serve as a cornerstone for researchers and scholars committed to producing high-quality LRAs that contribute significantly to theory, practice, and academic discourse.

2.3. Literature Review in Medicine (Mental Health and Healthcare)

Medical research dominates academic research (Sci-Hub database), likely because health and human life are universally valued, and living beings provide a stable, accessible subject, and valuable data for empirical study—regardless of environmental variation. As such, conducting a literature review (LR) is crucial for medical researchers, scholars, clinicians, and practitioners to compare findings, evaluate treatments, and track progress in the field. According to Wee [26], the medical literature often includes empirical studies testing medications and treatment protocols using standard practices such as double-blind data collection and established analytical methods.
Systematic literature reviews (SLRs) are widely used in medicine, psychology, and communication sciences. In medicine, SLRs are commonly indexed in dedicated platforms like the Cochrane Library, allowing easy access for researchers [31,44]. Cooper [78] proposed classifying literature reviews based on focus, goal, and audience. Later, Cook et al. [79] differentiated narrative from systematic reviews, while Green et al. [80] added meta-analyses and meta-syntheses as extensions. These frameworks were initially developed in medical research but have since influenced other disciplines like information systems [51,81].
Systematic review reporting, however, remains inconsistent in fields like neurosurgery. Akhigbe et al. [10] emphasize the importance of PRISMA compliance to ensure quality, improve transparency, and support clinical application—especially in areas like cerebral arteriovenous malformation. Systematic reviews and meta-analyses also play a key role in developing clinical guidelines, with many funding agencies requiring them to justify new research initiatives.
Beyond systematic reviews, other approaches have emerged. Durocher et al. [82], for example, conducted a realist review to explore guideline implementability across 278 studies. Their analysis identified two key factors: (1) content creation, emphasizing stakeholder involvement and feasibility, and (2) effective communication using clear, persuasive language.
Carroll et al. [40] tackled the challenge of monitoring and reporting fidelity in non-drug, non-surgical interventions, which tend to be more complex and variable. Using the JBI-recommended scoping review method, they developed the ReFiND protocol to improve transparency and reproducibility in such interventions.
Overall, medical studies lead the academic field in terms of literature review and guidelines articles published, as most evidence-based medicine (EBM) relies heavily on rigorous literature review methodologies to inform decision-making and optimize care [10]. These evolving approaches continue to shape best practices across the medical research landscape.

2.4. Different Types of Approaches to Literature Review Papers

Literature review (LR) papers serve diverse functions across academic disciplines. Their categorization depends largely on their methodological orientation, structure, and intended purpose. Scholars from different research fields have proposed multiple classifications of LRPs, often shaped by the particular demands of their disciplines and personalized criteria.
For instance, Wee [26], building on a typology presented in his study, identified several forms of literature review papers. The most conventional type is the classic literature review, which typically outlines the purpose and structure of the review, organizes the literature in a logical sequence, and compares the similarities and differences between sources. It usually ends with a discussion and conclusion, which provides the added value of the review. Another format is the empirical question and methodology response review, which explores specific research questions and methodological frameworks. A further alternative involves adopting a non-traditional perspective on a familiar problem—an approach that can highlight new dimensions, disentangle complex concepts, or offer alternative interpretations.
Additionally, some LRPs focus on a narrowly defined theme without attempting to comprehensively review the entire body of literature. Others propose a new conceptual model and explore supporting literature that validates or builds upon this framework. In such cases, as demonstrated by Van Acker, Van Wee, and Witlox [83] in their study of travel behavior, the literature is reviewed through the lens of an introduced framework, emphasizing theory-building over exhaustive coverage.
Wee [26] emphasized that the diversity in LRP types makes the process of writing one both challenging and rewarding. Similarly, Akhigbe et al. [10] proposed an alternative classification of LRPs into nine categories, grouped into four broader types: (1) Describing (Descriptive and Narrative Reviews); (2) Understanding (Critical and Scoping Reviews); (3) Explaining (Theory Development and Realist Reviews); and (4) Testing Theory (Qualitative Systematic, Meta-Analysis, and Umbrella Reviews). These classifications highlight the varied aims and methodological choices underlying literature review work.
Among these types, the systematic literature review (SLR) is recognized as one of the most rigorous and widely adopted approaches. According to Sauer [24], SLRs and structured reviews, though referred to by different names, are methodologically similar. Both approaches treat the analysis of existing literature as a study in its own right, following a transparent, replicable process [55,69]. Their purpose extends beyond merely summarizing prior work—they aim to map the research landscape at a given time, guide future inquiries, and make subsequent research efforts more efficient and impactful [84].
SLRs have gained significant traction in fields such as management, evidenced by journals and special issues exclusively dedicated to standalone SLRs [24,53,55]. Their importance is particularly pronounced in interdisciplinary research, where they are often employed to synthesize knowledge across disciplines. Interdisciplinary research seeks to harmonize insights from multiple fields into a coherent whole [85,86], a task made increasingly urgent as societal challenges demand cross-disciplinary collaboration.
However, interdisciplinary research also presents difficulties—methodologies may vary significantly between fields, and researchers may struggle to evaluate unfamiliar literature. SLRs offer a structured way to navigate this complexity by enabling the identification and integration of literature from multiple domains. This synthesis approach is especially valuable at the beginning of a project, laying the groundwork for further empirical investigation or even a meta-analysis.
A key component of SLRs is the formulation of a clearly defined research question (RQ) that guides the review process. Once the RQ is established, inclusion and exclusion criteria must be specified to determine the relevance of sources [44]. This methodological precision contrasts with narrative reviews, which are often more interpretive, aiming to “tell a story” [63] through selected literature deemed most relevant by the author. Narrative reviews typically follow a top-down approach, starting with specific theories or key studies.
While both narrative and systematic reviews have their place in academia, Burgers et al. [31] argue that SLRs are particularly well-suited for interdisciplinary reviews due to their bottom-up approach, which allows a more comprehensive and unbiased inclusion of literature.
To support scholars in conducting literature reviews, several guidelines have been proposed. Cooper [87] introduced a foundational model comprising five steps: problem formulation, data collection, evaluation, analysis, and presentation. This model, though originally developed for psychology, has influenced review practices across disciplines such as software engineering [88], health sciences [89], management [90], and information systems [91].
Later refinements have expanded Cooper’s model into a six-step process: (1) formulating the problem, (2) searching literature, (3) screening for inclusion, (4) assessing quality, (5) extracting data, and (6) analyzing and synthesizing findings [92]. Further innovations, such as the citation network-based approach proposed by Kosztyán et al. [2], enhance the systematic identification of relevant studies.
In sum, the structure and methodology of an LRP can provide insights into its type. Whether descriptive, explanatory, or theory-testing, each type serves a unique function in advancing academic knowledge.

2.5. Structure of a Literature Review

Literature review papers (LRPs) can be structured in various ways, and numerous recommendations have been proposed by scholars to guide researchers in their organization [26]. Two primary structures are commonly identified in the literature: (1) the classical structure and (2) the IMRAD-related structure.
In the classical structure, the LRP closely resembles a traditional research paper that includes a distinct literature review section. This format is often used in studies applying mixed methods to answer research questions, test hypotheses, or develop new theoretical frameworks.
Conversely, in the IMRAD (Introduction, Methods, Results, and Discussion) structure, the literature review is integrated into the introduction or conceptual background section, rather than being presented as a standalone part. The introduction typically includes the background, existing knowledge, literature gaps, research aims, and target audience, ideally presented through a clear narrative. The methodology may also be introduced here or outlined in a separate section.
A key feature of both structures is the use of tables and figures to synthesize and present large volumes of information. Common templates include tables with columns for authors, publication year, geographic focus, and sample size, while rows represent the reviewed studies. Alternative formats group studies by theme, region, or methodology. Long tables can be included as appendices [93].
Regardless of structure, the goal is to synthesize information clearly and concisely, enabling readers to compare findings across studies. Presentation choices—whether through tables, figures, or narrative—depend on the LRP’s aim, research scope, and intended audience. Striking a balance between depth for experts and accessibility for newcomers remains a central challenge, and final structural decisions ultimately rest with the authors.

2.6. Methodology and Process of a Literature Review

One of the most frequently criticized aspects of literature review papers (LRPs) is the lack of explicit methodological reporting. Many LRPs either omit a methods section entirely or include only a brief description, often because the literature is “drawn” from a broad body of existing publications. This lack of transparency undermines the replicability, credibility, and academic rigor of the review process. To address this limitation, several researchers have proposed structured methods and guidelines to support authors in developing methodologically sound LRPs.
Wee [26] strongly advocates for methodological transparency in LRPs. Authors, he argues, should clearly report the methodology used to select and analyze the source material. If the goal is to cover the core literature in a specific domain, reviewers should state which databases were searched (e.g., Web of Science, SCOPUS, Google Scholar, TRID), the search strategy used, keywords applied, and inclusion/exclusion criteria. Scheepers et al. [94], for example, provide a strong model of best practice, explicitly reporting on databases searched, languages included, time frames, and other key methodological decisions.
Equally important is defining the scope and boundaries of the review. Authors should explain the rationale behind choices such as limiting the review to post-1998 literature (e.g., due to earlier reviews or the emergence of new methods) or restricting the review to specific countries or contexts where the local setting may influence findings. If non-English literature is included, this should be noted explicitly.
Snowballing—using citations within or from relevant papers—is a common practice in LRPs. Jalali and Wohlin [95] differentiate between forward snowballing (identifying newer works citing a given paper) and backward snowballing (checking references within a paper). While this technique is useful, it should be explicitly documented to maintain methodological transparency.
In cases where more subjective selection methods are used—such as expert knowledge, brainstorming sessions, or thematic relevance—authors must still provide a methodological rationale. A clear explanation of the selection process, along with commentary on its strengths and limitations, is crucial. Wee [26] suggests that while there is no strict rule on the number of papers to include, most LRPs should cover at least 30 studies and generally not exceed 100, especially in focused fields like transport studies. When the volume of relevant literature is too large, stratified sampling methods may be used, guided by criteria such as citation impact, recency, regional focus, or theoretical contribution.
Authors should also avoid certain analytical pitfalls. For example, instead of averaging quantitative results across studies, it is preferable to present individual findings alongside the number of cases and discuss patterns qualitatively. Moreover, the distinction between the original authors’ interpretations and the LRP authors’ interpretations must be made clear. Speculative explanations of trends are acceptable if they are explicitly identified as such and offer insights that may inspire future research.
To systematize the review process, Durach et al. [96] synthesized six common steps in systematic literature reviews (SLRs), which remain broadly applicable across disciplines. Similarly, Snyder [54] proposed a four-phase approach: (1) design, (2) conduct, (3) analysis, and (4) structuring and writing. Xiao and Watson [56] outlined three main stages—planning, conducting, and reporting—each with detailed sub-steps. Although these models differ slightly, they reflect a shared commitment to procedural rigor and clarity.
Sauer [24] evaluated 13 existing guidelines for SLRs and observed four distinct approaches to structuring the review process. One of the earliest models, developed by Tranfield et al. [97], proposed three stages: planning, conducting, and reporting. Building on this, Kraus et al. [69] proposed a four-step model, and Paul et al. [98] introduced the SPAR-4-SLR protocol, a three-stage process with six sub-steps and 14 reporting actions based on PRISMA guidelines [99,100].
The SPAR-4-SLR protocol offers a comprehensive checklist covering the initial literature gathering phase, which accounts for most of its reporting items. Although constrained by word limits in its original presentation, the protocol has proven especially useful for PhD students and early-career researchers aiming to enhance the reliability and reproducibility of their SLRs.
Recognizing the variety of review types, Snyder [54] distinguished between systematic, semi-systematic, and integrative (or critical) reviews. Each type serves a different purpose: quantitative synthesis of evidence, overview of a field’s evolution, or critique and reconceptualization of existing perspectives. Authors should clearly position their work within one of these typologies to clarify their objectives and methodological choices.
Sauer [24] adopted Snyder’s [54] four generic steps—design, conduct, analysis, and writing—to guide the development of integrative reviews. The initial three steps focus on planning and execution, while the final stage emphasizes clarity in communicating the review’s contribution. To conduct the review, Sauer began with a selection of 13 foundational papers, such as those by Tranfield et al. [97] and Durach et al. [96], and used citation tracking to expand the sample. The selection criteria required papers to provide original methodological guidance and be relevant to the management domain.
Sauer ultimately proposed a seven-step framework, extending the traditional six steps of review methodology by adding a seventh: steps critical to publication. This final step addresses a key gap in the literature by guiding authors on how to tailor their work for successful peer-reviewed publication.
Depending on the type of LRP and the study’s objectives, numerous other researchers have contributed to the development of literature review methodologies and guidelines [31,51,100,101,102,103,104].
Given the diversity of research fields and approaches, the literature review landscape has become increasingly complex. As such, we propose the GARP4LR as a general framework applicable across disciplines. This framework addresses the literature review process by focusing on three core components: (1) typologies of literature reviews, (2) review process models and guidelines, and (3) publication networks.
This structured approach not only enhances the transparency and rigor of LRPs but also helps researchers better position their work within the evolving academic discourse.

2.7. Relevance, Challenge and Value of a Literature Review

Value: Writing a literature review offers significant value to researchers. It requires extensive reading, enabling a deep understanding of the chosen field. This process not only enhances the author’s expertise but can also lead to highly cited publications, contributing to academic reputation. As a largely independent activity, it requires no primary data collection, making it accessible with just literature sources [26]. Literature reviews also serve dual purposes in both research and teaching. A high-quality literature review should offer clear interpretations and a strong central message. Systematic literature reviews (SLRs), in particular, help condense knowledge, guide future research, and support theory development [24,105]. They also reveal how disciplines conceptualize the same construct differently, which is especially valuable for interdisciplinary research [31]. This aligns with the goal of interdisciplinary studies—to connect multiple perspectives and address complex issues holistically [27]. Moreover, conducting literature reviews helps researchers synthesize knowledge, build theory, and navigate emerging domains. As emphasized by Kosztyán et al. [2], well-crafted reviews not only contribute new insights but also stimulate future research, thereby validating and extending their impact [52,106].
Relevance: The relevance of a literature review (LR) lies in its ability to engage researchers, scholars, and students in disciplinary or interdisciplinary inquiry, helping them address social, political, economic, and academic challenges while gaining insights that transcend specific fields [27]. While review papers may sometimes be perceived as less valuable than traditional research articles due to a lack of “original research,” this perception can be misleading. As Wee [26] argues, a well-crafted review paper can offer more value to the academic community than a narrowly focused empirical study, especially when it critically analyzes, synthesizes, and advances knowledge in a field. A common reason for undervaluing literature review papers (LRPs) is the absence of a standard structure, which may discourage scholars from attempting them. Additionally, confusion between general overview papers and critical review papers contributes to this misconception. Unlike overview papers, which summarize existing knowledge, critical reviews must add value through synthesis, critique, or innovation [26].
LRPs can take various forms—conceptual, theoretical, methodological, empirical, or practice-based—and may propose new frameworks or integrate diverse perspectives. In today’s fast-paced academic environment, where knowledge spreads rapidly across disciplines, LRPs are more essential than ever for identifying gaps and guiding future research [2].
Challenge: Writing a literature review paper (LRP) can be more challenging than producing a traditional research paper for several key reasons. First, the risk of redundancy is high. A similar review may already exist, covering the same scope. However, new reviews can still add value by adopting a different perspective—such as focusing on methodology rather than empirical findings—or by refining or expanding the scope to cover underexplored areas. Second, writing a high-quality LRP is time-intensive. It requires extensive reading, selection, and synthesis of relevant literature. Unlike a standard empirical paper, LRPs demand deeper engagement with broader bodies of work, making the writing process more complex. A strong LRP should add value throughout the paper, not just in the conclusion [26]. Third, selecting a suitable methodology is a major challenge. The process is influenced by the LRP’s type and purpose. Researchers must navigate an overwhelming volume of literature and often struggle to apply systematic review protocols effectively [98]. Existing guidelines are fragmented, focusing on different aspects of the process without offering a cohesive model [24,54,84]. As a result, authors must interpret and reconcile inconsistencies themselves. Fourth, interdisciplinary literature reviews add complexity due to varying definitions, methods, and reporting standards across disciplines. Challenges include developing shared terminology and adapting to different disciplinary cultures, which may affect publishing norms and expectations [27,107]. Finally, publishing LRPs can be more difficult due to concerns about validity, comparability, and replicability. According to Kosztyán et al. [2], only specific LRP types—such as umbrella reviews, meta-analyses, and theory development papers—frequently appear in top-tier journals. Despite the introduction of the PRISMA guidelines in 2009, adherence remains inconsistent. Rigorous methodology, especially meta-analysis, is often required for acceptance in prestigious journals. This study proposes an alternative structure for general LRPs to improve clarity, rigor, and accessibility.

2.8. Publication of a Literature Review: Challenge and Recommendations

Publishing a literature review paper (LRP) is particularly challenging. Before writing, it is essential to identify a suitable target journal. This can be done by selecting a first-choice journal or reviewing seed (foundational) or umbrella articles to determine a relevant publishing niche. For instance, many top transportation journals—such as Transportation Research Part A or B—rarely accept LRPs, except in exceptional cases. It is therefore crucial to review previously published LRPs in the target journal to understand its scope, format, and expectations.
Word limits are another constraint. Many journals impose strict length restrictions, which can be especially difficult for LRPs due to the extensive content involved. Reviewers often ask for additional material but rarely indicate what to remove. Including clear conclusions and the paper’s value in the abstract is recommended.
Common reasons for LRP rejection include (1) lack of added value, where the paper is more of a general overview than a critical review; (2) unclear or unmet objectives; and (3) a submission that resembles an early draft—lacking structure, depth, and rigor. Given rising rejection rates across academic journals, authors must ensure their LRP is fully developed, methodologically sound, and aligned with the journal’s scope and standards [26].

2.9. Summary of the Literature

A summary of the literature on how to write a literature review following a particular method is included under Section 3.2.2. (Also see Table A1 and Table A2 of Appendix A).
In the next section, we will describe the research methodology, the data analysis process and the final design of the Generally Accepted Research Protocol for Literature Review (GARP Framework).

3. Methodology

The research is divided into two parts: Part (1), a general literature review (see Section 2); and Part (2), a conceptual framework for the Generally Accepted Research Protocol (GARP) supported by a semi-systematic review. In the second part, we used a mixed method combining descriptive analysis and semi-qualitative content analysis following the GARP framework (original method developed by the authors). This framework is based on the authors’ perspective of how a literature review should be written and follows various guidelines such as PRISMA [99], SIMILAR [2], AMSTAR, FLAVIA-LCT), DDA (, PICO-C, RiP), DARS CONSORT [108], GRADE, ReFIND [41], SPAR-4-SLR [98], SAR4R [109], Five C’s and Six W’s [47], TEMAC, GuFSyADD and ILRP mong others (see table in Section 3.2.2). We focus on peer-reviewed research articles and review articles from six prestigious academic publishing houses (Elsevier, Emerald, Nature Portfolio, Springer Nature & Link, Taylor & Francis, and Wiley) and one supporting database (Google Scholar) published between 1999 and March 2025. The data were collected online from the respective publishers’ websites using a keywords clustering method (KCM). We conducted a content analysis on the collected papers (n = 2323), and a final sample of n = 115 papers was analyzed to design the GARP framework for literature review described in Section 4.1. The papers were analyzed using a combination of several tools: MS Excel & Word, Windows 10 File Explorer, Mendeley, Adobe Acrobat, Foxit PhantomPDF, and a Large Language Model webware (NotebookLM). However, most of our research phases (4) and steps (24) were completed manually for verification and validation (see Section 4.1). Our research process follows some of the guidelines recommended by the authors cited above, especially Kosztyán et al. [2], Xiao and Watson [61], Wee [26], Lim et al. [5], and Sauer [24], who used a predefined guideline and provided a checklist and recommendations for writing a literature review, and Paré et al. [52], Gusenbauer [1], Schmidt et al. [29], and Buetow [62], who respectively used MS Excel and VOSviewer and suggested the use of special software and AI-enabled tools to support the search and analysis of papers.
Note: We follow the process of previous studies, not the exact steps, because our main goal is to design an alternative universal framework for conducting a literature review, and because most of the existing models were designed for a specific discipline and emphasize a particular step (or steps) of writing a literature review (e.g., searching process, exclusion and inclusion criteria, qualitative or quantitative or mixed analysis, etc.). see Figure 1.

3.1. Data Collection and Sample Selection Process (Inclusion and Exclusion Criteria)

The data was collected on seven (7) databases manually and via Mendeley. We follow the exact same collection process for each of the databases (online platforms). First, we selected three (3) keyword groups: (1) “Literature review”; (2) “Literature review, conceptual framework, Research guideline”; and (3) “How to write a Literature review”. Second, we search for relevant papers using each keyword group individually, following two steps: (1) a non-screening step, where we collected papers without screening for disciplines but by focusing on the title and/or abstract of the paper, and (2) screening steps, where we search for papers by screening each of the studied disciplines individually and/or combined. For both steps, we screen for papers by year following the research period (1999–2025 March) selected for this study, and for each year, we manually screen for relevant papers on the first ten (10) result pages, taking into account the scope of the study as listed in Table 1. And third, we collected the papers by adding them to a reference manager (Mendeley) and a file explorer folder. We repeat the above process on each of the seven (7) databases. It is important to note that we only focus on open-access peer-reviewed research articles and review articles without taking into account the number of citations or the journal ranking to collect papers. We also only search for articles published in the English language. A total of n = 2405 articles were collected and processed into five (5) distinct sample sizes: NPAD, NPAE, IP (Niche), SP, RP (Seed), before reaching a final sample size of n = 115 articles used as a foundation and support of the GARP framework developed in this study (see figure in Section 4.1). We collected the articles following the keyword clustering method (KCM) described in Figure 2 and processed (Cleaned and Analyzed) the collected papers following the inclusion and exclusion criteria and parameters described in Figure 2 and Table 1, Table 2 and Table 3. Figure 1 and Figure 2 and Table 2 below show a framework of the keyword clustering method process (roadmap), the research protocol, and a summary of the criteria (items) selected for data collection and sample selection.
The following Table 3 show Summary of parameters, inclusion and exclusion criteria, and code for data collection, processing and semi-qualitative content analysis.

3.2. Analysis

We conducted a descriptive and semi-qualitative content analysis on the collected papers following a predefined set of inclusion and exclusion criteria (Table 3). The criteria were refined by two independent reviewers (authors J.D.N.N. and J.B.P.A.) to ensure transparency and replicability. Inter-rater agreement was calculated for the screening and coding phases using Cohen’s kappa; the obtained value of 0.87 indicated strong reliability, and any disagreements were resolved through consensus discussion with the third author (N.P.Z.).
After each screening step, the sample size was reduced and renamed as NAPD, NPAE, IP (Niche), SP, RP (Seed), and a final sample size of RP n = 115 articles was selected after a full cycle of five processes (description and analysis) (see Figure 1). We assessed the quality of a paper by focusing on three items: (1) methodology, (2) the types of literature review identified, and (3) the proposed guideline. All papers in our final sample are high-quality papers (A), and we differentiate each by adding a score (+++, ++, +) depending on the value of the above three items. Three additional items (Number of databases, software used, and sample size) were recorded but did not influence the final score (see the score column of the table in Section 3.2.2).
Inclusion criteria: articles were peer reviewed, published between 1999 and March 2025, written in English, and had a clear focus on literature review methodology, guidelines, typologies, or processes.
Exclusion criteria: editorials, commentaries, book reviews, articles not directly addressing review methodology, and studies without a reproducible methodological description.
The descriptive analysis tracked counts and trends across databases, disciplines, years, and review types, providing the quantitative backbone of the study. The semi-qualitative content analysis extracted methodological features, typologies, and proposed guidelines from the final seed articles. The integration of these two streams—quantitative distributions and qualitative thematic patterns—was achieved through a convergent meta inference process: the descriptive findings indicated the most prevalent review types and phases, while the qualitative synthesis revealed the essential steps that consistently appeared across high-quality guidelines. This integration directly informed the construction of the GARP 4LR framework, ensuring that the final protocol is both evidence-based and practically grounded.
To mitigate the absence of a medical sciences expert on the research team (see Section 7), we (a) specifically included and carefully analyzed systematic review guidelines from leading medical journals (e.g., those indexed in the Cochrane Library) and (b) cross validated our interpretations of medical literature review standards with two independent medical researchers, who confirmed that the extracted steps align with evidence-based medicine expectations. These measures increase the credibility of the multidisciplinary scope.

3.2.1. Descriptive Analysis

We conducted a descriptive analysis to show the change in sample size across all databases during the data processing phrase of this study. See Table 4, Table 5, Table 6, Table 7, Table 8, Table 9 and Table 10, and Figure 3, Figure 4, Figure 5, Figure 6, Figure 7, Figure 8 and Figure 9 Below.

3.2.2. Semi-Qualitative Content Analysis

In academia, the quality of a paper generally depends on three criteria: first, (1) the peer-review status, journal ranking and index (Q1, Q2, WOS, Scopus, etc.), and (2) the number of citations. As such, we assume that all collected papers are quality papers as we only collected peer-reviewed research and review articles from prestigious publishers, though we disregarded the last criterion. We conduct a semi-qualitative content analysis by extracting items listed in Table 3 (content analysis column). We focus on three main items (Methodology, type of LR identified, and proposed guideline) and three supporting items (databases, software used, and sample size) to score the quality of each paper. We use MS Excel and Large Language Model webware (Google NotebookLM) as recommended by previous studies [1,29,62] to process, extract, and analyze the selected papers. We manually choose our final sample size of n = 115 papers by assessing the above six items. Table 11 below shows a summary of the content analysis, including the score.

4. Results and Findings

The purpose of our study is to design a Generally Accepted Research Protocol (GARP) for literature review to help researchers in general and students in particular to write a relevant, accurate, and sustainable literature review. The goal here is to propose a universal alternative way to conduct an LR. The results of the study content analysis show that in the last two decades, several similar initiatives have been taken, supporting the need for a universal framework for literature review writing. These initiatives can be divided into three groups: (1) research proposing a new method or model similar to the present study (e.g., SIMILAR by Kosztyán et al. [2]); (2) research extending existing models (8-stage model for scoping LR by Wanda et al. [111] following Arksey & O’Malley’s scoping review framework); and (3) research proposing new steps (e.g., 24-step guideline by Muka et al. [110]). However, each research has limitations in terms of methodology, sample size, focus (steps), type of literature review, and scope (discipline). Regardless of the limitations, various models (frameworks) have gained popularity among researchers for covering all angles of a LR process or by being recognized and accepted by a particular journal or organization (PRISMA statement and extension [99,100], Xiao and Watson guide [61], PICO and extension [112], CONSORT guideline [108], Arksey & O’Malley’s Framework [113], Cochrane methodology [114], Snyder guideline [54], Kitchenham et al. [115], etc.). We also find that most guidelines have common steps, even though the process and focus of the guideline differ depending on the objective and methodology. See Table 11, Table A1 and Table A2 for the full content analysis table and more guidelines.

4.1. GARP for Literature Review: Research Framework and Guideline

Based on the existing guideline and our findings, we designed the following framework for the Generally Accepted Research Protocol (GARP) for Literature Review (4LR). See Figure 10 below.

4.2. GARP-4LR Summary and Application: The ABCD/PCPR of GARP

We propose the GARP framework as a universal method to be applied when conducting a synthesis on any given subject or topic. The following Figure 11 shows a practical application of how to use the GARP-LR when conducting a synthesis on any research topic (See Appendix C).

5. Discussion

Following the methodology described in Section 3 and content analysis findings, we developed the GARP framework (see Figure 10) as an alternative model for literature review writing. The GARP framework is the result of the present study process, supported by n = 115 articles selected from a multidisciplinary sample size of n = 2405 articles. We find that writing a literature review is a four (4) phases process with a combined set of 24 steps described as follows:
Phase (1): (S1: topic formulation (C); S2: keywords choice (C); S3: State the Objectives or Purpose of the study (C); S4: Develop the Research questions or Hypothesis (C); S5: Identify Gaps (preliminary research) (O); S6: Choice of Literature Review (O); S7: Choice of Structure or Draft (C) Choice of Methodology (O); S8: Choice of Software (tools) (C); S9: Choice of Databases, Journals and time period (C); S10: type of research (documents) to be collected (e.g., peer-review articles, book chapter, theses, conference, editorial, etc.) (C); S11: Choice of Language (C); S12: Choice of Sample size and Scope (Discipline, fields, subject of interest, topic, etc.) (C); S13: coding method (O); S14: choice of independent reviewer (s) or collaborators (O)). We include the planning phase in the framework because we started “from scratch” without taking into account existing checklists or methodologies like previous studies [46,116,117,118]. This phase can be comparable to the first six (6) Decisions (D1–D6) of the Sauer guideline [24].
Phase (2): Implementation with a total of six (6) steps (S1: data collection (C)—during this step we recommend the following: if possible, record or take a screenshot of every step of the process (O); focus on article related to the scope of the study (C); use a reference manager; save the collected literature (documents) in one file online and offline (C); S2: data processing divided into two parts: (a) Data Coding and Cleaning including Coding the papers (O), removing duplicates and irrelevant papers (C), excluding papers outside of the study scope (C), include relevant papers, and categorizing papers (C); and (b) Data Extraction and Analysis, for which we recommend using a software (AI-enabled tools) reported to extract the preferred items (relevant information) (O), and analyzing (Assess, Evaluate and Process) the extracted information (O); S3: results (C) include reporting the results in a clear, concise and understandable way with table, figure, graph and bullet points (C&O); S4: conceptualization (O) include designing the framework (optional depending on the type of research Article); S5: discussion (C)—discuss the results, findings, framework, and methodology weakness, advantage, limitations, and future direction in brief if the plan is to have the limitations and future direction in a separated section or sub-section of the conclusion; S6: writing (C): this step is special because it can or should be done simultaneously following each step of the review or after the analysis (data processing and results) However this step should be done following the writer (s) preference or plan (C)). This step is highlighted commonly by all previous studies of our final sample size because it includes three main steps (data collection, data analysis and data reporting) that we consider to be the core steps of literature review writing [48,109,119,120,121,122,123,124]. This phase can be comparable to seven (7) decisions (D7-D13) of the Sauer study [24].
Phase (3): Publication with a total of two (2) steps (S1: before writing (C&O), which include targeting impactful journal suitable for the research publication and follow the author’s guideline (structure and word count) (O); S2: after writing (C&O), which includes checking for the matching journal on the publisher or journal platform or chose a journal from the study final sample size (O)). This phase has rarely been included in the framework and/or guideline of previous research and has only been mentioned by a few studies as a recommendation, maybe because this step is simple but complex due to the rate and risk of rejection from top journals and the traumatic experience all researchers have to go through for the paper to be accepted. Regardless, this step is crucial because the final goal of writing a relevant, accurate and sustainable literature review for a researcher is to have it published in a top journal so that more people can gain insight from it. This phase is comparable to the Sauer D14 Decision [24].
The final Phase (4): Sharing & Update, which is optional and has a total of two (2) steps (S1: sharing (C)—after publication, the author(s) should share the paper to friends, colleagues, and in conferences and meetings (O); S2: update (O)—after a period of time (a year), the author(s) should consider writing an update of the review or a follow up to fill the gaps of the research (O)). This phase has not been included in any of the frameworks analyzed in this study, but it is recommended. The overlook may be due to the fact that it is an optional step that assumes that the paper will be published in a top journal. Sauer’s fourteen (14) Decision does not include this step in the last phase [24].

5.1. Comparison with PRISMA 2020 and SPAR 4 SLR

To explicitly position GARP 4LR within the landscape of existing review protocols, we compare it with the two most frequently cited frameworks in our sample: PRISMA 2020 (Preferred Reporting Items for Systematic reviews and Meta Analyses) and SPAR 4 SLR (Scientific Procedures and Rationales for Systematic Literature Reviews). Table 12 below provides a structured comparison between GARP 4LR, PRISMA 2020, and SPAR 4 SLR.
This comparison highlights the complementary nature of the three protocols. PRISMA excels at standardizing the reporting of systematic reviews, while SPAR 4 SLR provides a detailed decision-oriented process for conducting systematic literature reviews. GARP 4LR, in contrast, is designed as a general-purpose protocol that distills the literature review process into its indispensable core, cutting across review types and disciplines. Its emphasis on “data collection—data processing—data reporting” directly addresses the call of several reviewers for a less cluttered, more accessible methodology. The publication and update phases, absent in the other protocols, additionally close the gap between review production and real-world impact. (See Table A10. Simplify comparative overview of GARP 4LR, PRISMA 2020, and SPAR 4 SLR).

6. Conclusions

The purpose of this study was to design a Generally Accepted Research Protocol (GARP) for Literature review (4LR) writing as an alternative universal method to the various methods available across different disciplines. To accomplish this, we collected articles from multiple disciplines grouped into three categories (“Education and Engineering”, “Mental health and Health care”, and “Accounting, Finance, Economy, and Management”) in order to collect a relevant and accurate database to serve as a foundation of the GARP framework. From an initial sample size of 2405 articles, we successfully managed to extract 115 articles after several manual and automated data processes. Our content analysis results show that many similar initiatives have been taken by several authors across various disciplines, with some models and guidelines [54,61,108,112,113,114] gaining recognition across disciplines. However, the rising number of guidelines and extensions shows there is a need for a universal guideline that agrees on the main steps or phases of writing a relevant, accurate, and sustainable literature review. The PRISMA statement is leading the way toward this destination, but it is not accepted by all, as shown by the rising number of propositions. Regardless of the propositions, guidelines on writing a literature review share three common steps: data collection, data processing, and data reporting. We hope that the present research guideline (GARP) will contribute to the state of the art (SOTA) of writing a literature review and push editors and researchers to reach a consensus on what really matters: the synthesis and freedom of process.

7. Limitations, Future Directions and Recommendations

The present study is a multidisciplinary, multi-method investigation reflecting the authors’ perspective on literature review writing. Although every effort was made to ensure rigor, several limitations must be acknowledged.
First, the absence of a medical sciences expert.
The research team consisted of three social science (AFEM) experts and one engineering (EE) expert; no member held advanced qualifications in medical or healthcare sciences. This gap could have influenced the interpretation of medical literature review standards. To mitigate this risk, we (a) conscientiously included and analyzed systematic review guidelines from authoritative medical sources (e.g., Cochrane Handbook, PRISMA statements) and (b) consulted two medical researchers who provided feedback on our extracted core steps. Future studies should include balanced, multidisciplinary teams that encompass medical expertise to further validate the universal applicability of GARP-4LR.
Second, empirical validation—a clarification and a path forward.
The GARP-4LR framework was constructed inductively from a large sample of methodological articles. We acknowledge that, to date, no independent case study or comparative experiment has been conducted to externally validate the framework. This remains an important limitation.
However, we also emphasize that the present study itself constitutes an empirical demonstration of the GARP-4LR framework. Every step of the protocol was followed in real time to conduct the systematic literature review that produced the framework—from data collection and processing to analysis and reporting. Consequently, this manuscript can be read as a working, step-by-step application of GARP-4LR. In this sense, the framework has already undergone a form of empirical testing, albeit within the same research process that generated it.
Future research should build on this foundation by conducting external case studies or controlled experiments in which novice and experienced reviewers apply GARP-4LR alongside existing protocols (e.g., PRISMA, SPAR-4-SLR) to compare efficiency, usability, and output quality. Such independent validation is essential to confirm the claimed reduction in procedural “noise” and the improved sustainability of the review process. Until then, the present study serves as both the theoretical development and the first practical guideline for using GARP-4LR.
Third, methodological constraints.
The semi-qualitative content analysis relied on human judgment and basic software tools (MS Excel, Notebook). More advanced qualitative data analysis software and inter-rater reliability statistics could further enhance the trustworthiness of the coding process.
Fourth, database and language limitations.
Articles were collected from only seven publishers and one supporting database, and only English-language publications were considered. This may have excluded relevant non-English guidelines and discipline-specific databases (e.g., PubMed for medicine, ERIC for education). Future multidisciplinary reviews should incorporate these resources.
Fifth, citation and journal quality.
We did not use citation counts or journal impact factors as quality filters, relying instead on peer review status and publisher reputation. While this approach maintained breadth, it may have included less influential works; subsequent research could focus on top-tier journals only.
Despite these limitations, the GARP-4LR framework is grounded in an extensive, multidisciplinary evidence base and offers a practical, streamlined alternative for literature review writing. With the clarification above, we believe the manuscript appropriately moderates any claims of novelty and honestly presents the framework as a tested-in-practice guideline—one that is ready for immediate use and for future independent validation.

Supplementary Materials

The following supporting information can be downloaded at https://www.mdpi.com/article/10.3390/info17060583/s1, Table S1: Summary of content analysis results of sample size n = 115 RP (Table 11 continued); Table S2 Summary of content analysis of full RP (Seed) sample size (Extension of Table 11); Table S3a: Descriptive categorization of type of research and literature review articles based on Publishers and discipline (NPAD) (Excel File S3); Table S3b: Descriptive categorization of type of research and literature review articles based on Publishers and discipline (NPAE) (Excel File S3); Table S3c: Descriptive categorization of type of research and literature review articles by discipline and year (NPAD) (Excel File S3); Table S3d: Descriptive categorization of type of research and literature review articles by discipline and year (NPAE) (Excel File S3).

Author Contributions

Conceptualization, J.D.N.N. and N.Z.; methodology, J.D.N.N., J.B.B.P.-A. and N.Z.; software, J.D.N.N. and J.B.B.P.-A.; validation, J.D.N.N., J.B.B.P.-A. and N.Z.; formal analysis, J.D.N.N. and J.B.B.P.-A.; investigation, J.D.N.N. and J.B.B.P.-A.; resources, J.D.N.N., J.B.B.P.-A. and N.Z.; data curation, J.D.N.N. and J.B.B.P.-A.; writing—original draft preparation, J.D.N.N.; writing—review and editing, J.B.B.P.-A. and N.Z.; visualization, J.D.N.N.; supervision, N.Z.; project administration, J.D.N.N. and N.Z. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The original contributions presented in this study are included in the article/Supplementary Materials. Further inquiries can be directed to the corresponding author.

Acknowledgments

During the preparation of this manuscript/study, the author(s) used [NotebookLM and Gemini, version 2.5] for the purposes of [Paper summary and grammar]. The authors have reviewed and edited the output and take full responsibility for the content of this publication.

Conflicts of Interest

The authors declare no conflicts of interest.

Abbreviations

The following abbreviations are used in this manuscript:
CCompulsory
GARP-4LRGenerally Accepted Research Protocol for Literature Review
LRLiterature Review
OOptional
SLRSystematic Literature Review

Appendix A

Table A1. Summary of literature review and content analysis results, n = 115 RP (Table 11 continued).
Table A1. Summary of literature review and content analysis results, n = 115 RP (Table 11 continued).
Elsevier
Author(s), Pub Year, Type of Article. Sample Size Journal.ObjectiveType of Lit Review IdentifiedMethodologyPaper Collection Database(s)Software UsedLit Review Guidelines ProposedKey FindingsSuggestions/RecommendationsResearch GapsLimitationsScore
[41]
(TA): Protocol.

(SS): Delphi study, minimum 25 responses per round.

(J): Contemporary Clinical Trials.
To describe the development process for a reporting guideline for intervention fidelity in non-drug, non-surgical trials (ReFiND).Scoping Review (as part of the guideline development).Six-stage guideline development process including a scoping review, a Delphi study, and a consensus meeting, following EQUATOR and ACCORD guidelines.For the scoping review: MEDLINE, Embase, PsycINFO, CINAHL, CENTRAL, AMED.Qualtrics, DeepL Translator, Covidence.Yes, this paper is a protocol to develop the ReFiND reporting guideline for intervention fidelity.Reporting of intervention fidelity in non-drug trials is inadequate, limiting transparency and reproducibility. Existing fidelity guidance documents vary and lack robust, consensus-based development methods.The future ReFiND guideline will provide a consensus-based set of items to improve fidelity reporting.No international, consensus-based reporting guideline for fidelity in non-drug, non-surgical interventions currently exists.This is a protocol, so it describes planned work rather than completed research with limitations.A+++
[94]

(TA): Methodological Guidance/Research Article.

(SS): initial 300,000 articles, refined to ~2300, and screened them. No final number.

(J): Heliyon/
To enhance the systematic literature review (SLR) method by proposing a ‘double-stage SLR’ to reduce bias, identify gaps, and formulate research questions more effectively.SLR of methodological and review articles.Proposes a new framework (‘DDA in SLR’) based on a critical analysis of existing SLR approaches and the Double Diamond Design Approach.Web of Science, Scopus, Google Scholar, Google.CADIMA.Yes, proposes the ‘double-stage SLR’ or ‘Double Diamond Approach (DDA) in SLR’.Current SLR frameworks often lack guidance on quantifying literature volume for gap identification and formulating research questions, leading to potential bias.The DDA in SLR involves two stages: (1) reviewing existing review literature to identify gaps and formulate research questions, and (2) reviewing empirical literature to answer those questions and meet review objectives.Existing SLR methods are unclear on how to quantify literature needed to formulate research questions or develop a search strategy.This approach requires more time and effort432. The authors’ own search was limited to a few online databases and English-language papers, and excluded books/book chapters.A+++
Emerald A
Author(s), Pub Year, Type of Article, (SS) & (J)ObjectiveType of Lit Review IdentifiedMethodologyPaper Collection Database(s)Software UsedLit Review Guidelines ProposedKey FindingsSuggestions/RecommendationsResearch GapsLimitationsScore
Virginia Bodolica, Martin Spraggon. (2018)

(TA): Conceptual paper.

(SS): N/A.

(J): Management Decision.
To provide useful guidelines to prospective authors for generating influential literature review articles by uncovering key requirements for expanding their reach.Discusses literature review articles in general, and mentions systematic reviews as a foundation for its proposed process.Conceptual paper developing an end-to-end process based on the authors’ experience and a scrutiny of review papers in major management journals.ABI/INFORM, Business Source Premier, JSTOR, Emerald, PsycINFO, ProQuest, Web of Science, and Scopus are mentioned as key databases for conducting reviews.Not mentioned.Proposes an end-to-end process with two phases (Writing, Publishing) and seven steps: Exploring the topic, Searching/screening, Assessment/selection, Analysis/synthesis, Structuring/drafting, Journal submission/publication, and Post-publication diffusion.Identifies and debunks several popular misconceptions about literature reviews (e.g., they are easier to publish, good for early-career researchers). An impactful review typically has five sections: introduction, methods/framework, findings, future research, and conclusion.Choose a topic with high growth potential. Use scientific methods of research synthesis. Select an appropriate journal by carefully checking its scope228. Be active in post-publication diffusion.The paper addresses the need for clear guidelines on how to produce influential, rigorous, and relevant review articles, which is a complex and challenging endeavor.The paper is conceptual and based on the authors’ experience and observations, not a systematic empirical study of review articles.A+++
Jo Tunnard. (2004)

(TA): Descriptive article.

(SS): Three reviews discussed; one analyzed 22 studies.

(J): Journal of Integrated Care.
To describe the “RiP Approach” for producing literature reviews for social care practitioners and managers, focusing on how to write reviews that can influence practice.Distinguishes between “systematic reviews” and “expert reviews”. The RiP approach is a type of expert review.A descriptive account based on the author’s experience writing three literature review booklets for Research in Practice (RiP).Mentions various databases including NCB Library Database, Caredata, British Library, NHS Centre for Reviews and Dissemination, and King’s Fund.Not mentioned.Describes the “RiP Approach,” which emphasizes: a specific audience (practitioners), breadth (including non-research sources), quality standards (transparency and comprehensiveness), and a clear framework (impact and interventions).The RiP approach produces “expert reviews” useful for practitioners by being tailored to their needs, including broad information, and explicitly linking findings to practice. User feedback has been positive.When writing for practitioners, keep the audience in mind, link findings to practice guidelines, and make references more helpful by grouping and summarizing them. Seek robust feedback before publication.The paper implicitly points to a need for literature reviews that are specifically designed to be accessible and useful for practitioners, as opposed to purely academic or highly restrictive systematic reviews.Feedback on the RiP reviews is anecdotal only 140. A key practical limitation is balancing comprehensiveness with a small budget.A+++
GoogleScholar
Author(s), Pub Year, Type of Article, (SS) & (J)ObjectiveType of Lit Review IdentifiedMethodologyPaper Collection Database(s)Software UsedLit Review Guidelines ProposedKey FindingsSuggestions/RecommendationsResearch GapsLimitationsScore
[85]

(TA): Outcome Research Design/Conceptual Framework.

(SS): heuristic example 47 articles.

(J): Counseling Outcome Research and Evaluation.
To provide a framework for using discourse analysis to review literature, a process called Discourse Analysis-Based Research Synthesis (DARS).Discourse Analysis-Based Research Synthesis (DARS)59. Also lists 17 other qualitative analysis techniques for literature reviews.Proposes a six-stage DARS process based on Gee’s Discourse Analysis, using a heuristic example.Not specified for the heuristic example, but involved multiple search phases, including personal communications.Recommends Mendeley for organization and QDA Miner for analysis.Proposes a six-stage DARS process 67. Identifies 10 myths about literature reviews to avoid.The literature review is a critical but under-guided part of counseling research. Gee’s Discourse Analysis provides a useful theoretical framework for analyzing literature.Counselor researchers should use DARS and other qualitative analysis approaches to improve rigor. Counselor education programs should teach these concepts.Scant guidance exists on how to formally analyze and interpret selected literature.Not stated, as it is a “how-to” paper.A+++
Indunil Karunarathna et al.(n.d.).

(TA): Guide/Review.

(SS): N/A.

(J): UVA CLINICAL RESEARCH/RESEARCH METHODOLOGY/LITERATURE REVIEW.
To provide a comprehensive guide to conducting a literature review with practical steps and advice.Traditional/narrative review, systematic literature review (SLR), mini-review vs. full review, descriptive vs. integrative reviewComprehensive methodRecommends PubMed, Google Scholar, Scopus, Web of Science, JSTOR, CINAHL, Cochrane Library, etc.Recommends Mendeley, Zotero, or EndNote.Proposes “10 rules for writing an effective literature review” and a 7-step process for traditional/narrative reviewsLiterature reviews are crucial for synthesizing knowledge, but challenging for new researchers. SLRs are methodical and use explicit criteria to minimize bias.Use a systematic approach with a well-defined topic. Go beyond summarizing to critically analyze literature. Organize the review logically and seek feedback.N/A—Guide. Notes that reviews help identify gaps.N/AA+++
Springer NatureLink
Author(s), Pub Year, Type of Article, (SS) & (J)ObjectiveType of Lit Review IdentifiedMethodologyPaper Collection Database(s)Software UsedLit Review Guidelines ProposedKey FindingsSuggestions/RecommendationsResearch GapsLimitationsScore
[33]

(TA): Methodology Paper.

(SS): N/A.

(J): Systematic Reviews.
To describe a scoping review methodology that integrates Indigenous research methodologies with the Arksey and O’Malley framework.Proposes a methodology for an Indigenous-informed scoping review.A hybrid approach weaving Indigenous methodologies (e.g., Anishinaabe framework) into a Western method (Arksey & O’Malley’s scoping review framework). Guided by an advisory circle of Indigenous Knowledge Keepers.Mentions conducting searches in electronic databases, hand-searches, and Google.Not specified.Yes, proposes an 8-stage model for conducting an Indigenous-informed scoping review, expanding on Arksey & O’Malley’s 5 stages.An Indigenous approach requires meaningful Indigenous representation and perspectives throughout the research process286. Engagement and listening should be embedded throughout, not as an optional stage.Researchers can use this 8-stage methodology to conduct reviews that are credible and useful for both Indigenous communities and academia.Addresses the need for review methodologies that are relational, aligned with Indigenous knowledge, and led by Indigenous people.The authors describe challenges related to the COVID-19 pandemic impacting their process.A+++
[24]

(TA): Review Paper/Guideline Paper.

(SS): 13 guideline papers.

(J): Review of Managerial Science.
To offer an integrative review of SLR guidelines and propose a refined process model (6 steps, 14 decisions) to guide researchers.Integrative Literature Review (of guidelines for Systematic/Structured Literature Reviews (SLR))Integrative literature review methodology. Coded 13 core SLR guideline papers against Durach et al.’s (2017) six steps and inductively derived 14 key decisions.N/A (started with core articles and used citation chasing).Recommends MAXQDA and NVivo for data extraction.Yes, proposes a refined SLR process model with 6 steps and 14 decisions.Existing SLR guidelines are scattered and focus on early stages (search, selection), with less guidance on later stages (synthesis, reporting).Provides a detailed 6-step, 14-decision framework to guide the SLR process68. Recommends specific tools (e.g., MAXQDA) and approaches (e.g., concept-centric synthesis).Lack of a comprehensive and detailed SLR process model that guides researchers through all stages, especially synthesis and reporting.The review is integrative, not systematic, and the sample of guidelines is not exhaustive. Examples are sometimes drawn from a specific management subfield.A+++
[71]

(TA): Review Article (proposing guidelines).

(SS): 50 articles/documents.

(J): Environmental Science and Pollution Research.
To outline a clear guideline (GuFSyADD) for developing a systematic literature review (SLR) for studies related to climate change adaptation.Proposes guidelines for Systematic Literature Review (SLR). The paper itself is a form of literature review of methodological articles.Three-stage literature search and screening process to identify methodological articles for developing the guideline. The search involved five databases and manual techniques.Main: Scopus, Web of Science, Science Direct. Supporting: Google Scholar, Dimensions.ai.Not specified.Yes, proposes the GuFSyADD guidelines with six steps: (1) Be guided by a protocol/standard, (2) Formulate review questions, (3) Use systematic searching, (4) Appraise quality, (5) Extract and analyze data, (6) Demonstrate data.SLR methodology guidelines for climate change adaptation studies are lacking. Established protocols like PRISMA are often tailored to medical fields and may need adaptation33. ROSES is a more suitable standard for environmental science.Researchers should use the proposed GuFSyADD guidelines for organized, transparent, and replicable SLRs on climate change adaptation. Recommends using tools like PICOC for research questions and protocols like ROSES.No specific methodology guideline for SLRs related to climate change adaptation existed prior to this paper.The paper does not list its own limitations.A+++
[68]

(TA): Methodology Paper. (SS): 365 articles to create 46 syntheses.

(J): BMC Medical Research Methodology.
To describe the “Modular Literature Review,” a novel method to support priority-setting in health policy when many interventions are relevant.Proposes the Modular Literature Review and compares it to systematic reviews, scoping reviews, overviews of reviews, and rapid reviews.A modular PICOS framework was used for searching five databases. The Intervention module varied while others were constant. Employed single-reviewer screening and data extraction with quality control measuresMEDLINE, Embase, Cochrane databases (CDSR, CENTRAL), CINAHLRefWorks, Microsoft Excel, Microsoft WordYes, proposes the Modular Literature Review method.The method successfully reviewed 46 interventions within 12 months. It can address multiple research questions simultaneously while preserving systematic principles.The method can inform research agendas by providing a multi-disciplinary landscape view and identifying gaps.An unmet need for review methods to support priority-setting when a wide variety of interventions exist.Single-reviewer screening and data extraction (though with quality control) due to time constraints. Exclusion of non-English articles.A+++
Chris Cooper, Andrew Booth, et al. (2018),

(TA): Literature Review.

(SS): 9 guidance documents and an unspecified number of supporting studies.

(J): BMC Medical Research Methodology.
To determine if a shared model of the literature searching process exists across systematic review guidance documents.A literature review of guidance documents for various types of systematic reviews.Review of two literature types: nine purposively selected guidance documents and supporting studies identified via pearl growing, citation chasing, and a PubMed search. Key stages were identified by consensus.PubMed (for supporting studies).Not specified.No, but it defines a shared 8-stage model of the literature searching process found in existing guidance.An 8-stage model of literature searching is consistently reported in guidance documents, suggesting a shared tacit model. Key stages are comprehensive, transparent, and reproducible searches to minimize bias.Further research is needed to determine if the same search process is suitable for all types of systematic reviews (e.g., qualitative vs. effectiveness).The need for comprehensive searches is less certain for qualitative reviews. The concept of “when to stop searching” needs more study.The review focused on guidance from Europe and Australia. The review of supporting studies was not a full systematic review itself.A+++
Taylor & Francis
Author(s), Pub Year, Type of Article, (SS) & (J)ObjectiveType of Lit Review IdentifiedMethodologyPaper Collection Database(s)Software UsedLit Review Guidelines ProposedKey FindingsSuggestions/RecommendationsResearch GapsLimitationsScore
[44]

(TA): Research/Pedagogical Article.

(SS): Not applicable.

(J): Teaching of Psychology.
To present an integrated, meta-analytic model for teaching undergraduate students how to write psychological literature reviews.Discusses literature reviews in the context of empirical reports and as standalone review articles.Describes an instructional program for a sophomore-level research methods course. The program uses concepts from meta-analysis to teach writing skills.Mentions Psychological Abstracts and PsycFirst as reference materials for students.Not specified.Proposes a meta-analytic model for teaching literature review writing. It breaks the process into 5 tasks: (1) focusing topics, (2) systematically coding information, (3) developing common measures for outcomes, (4) searching for moderator variables, and (5) evaluating research quality.Students often struggle with writing literature reviews, failing to integrate information and instead summarizing articles sequentially384385. Meta-analysis provides a clear model for teaching because its techniques address common student problems like selecting topics, analyzing details, synthesizing findings, and evaluating articles.This model provides specific advantages by identifying required skills, clarifying criteria for good reviews, and clarifying instructional sequences in curricula. The model integrates writing with critical thinking.No comparable course or manual exists for instructing students to write review articles, unlike for empirical reports. Psychology instructors may lack a model to guide their writing instruction.Some students still had weaknesses, such as reporting comparisons that were not relevant to their primary research questions.A+++
Wiley
Author(s), Pub Year, Type of Article, (SS) & (J)ObjectiveType of Lit Review IdentifiedMethodologyPaper Collection Database(s)Software UsedLit Review Guidelines ProposedKey FindingsSuggestions/RecommendationsResearch GapsLimitationsScore
[96]

(TA): Technical Note/Methodological Paper.

(SS): 133 SLRs examined.

(J): Journal of Business Logistics.
To propose a new paradigm and guidelines for conducting systematic literature reviews (SLRs) in Supply Chain Management (SCM) that account for the field’s idiosyncrasies.Systematic Literature Reviews (SLRs).Critical examination of 133 SCM-related SLRs to identify challenges, combined with a synthesis of general SLR guidelines, to propose a new paradigmFor their initial review: Business Source Complete and Web of Science Core Collection.N/AProposes a new 6-step paradigm for SCM SLRs focused on refining theory by analyzing studies based on an initial theoretical framework and accounting for study artifacts (e.g., unit of analysis, context)SLRs in SCM have had limited impact due to six field-specific idiosyncrasies, such as permeable theoretical boundaries, varying units of analysis, and diverse construct operationalization.SCM SLRs should aim to refine theory by explaining contingent causalities (“what works for whom, how, and under what circumstances”). Researchers must be aware of and mitigate potential biases.The SCM field lacks a cumulative body of knowledge due to an absence of replication studies and a proliferation of measurement scales.The paradigm is developed for SCM but may be useful for adjacent management disciplines.A+++
Nature Portfolio
Author(s), Pub Year, Type of Article, (SS) & (J)ObjectiveType of Lit Review IdentifiedMethodologyPaper Collection Database(s)Software UsedLit Review Guidelines ProposedKey FindingsSuggestions/RecommendationsResearch GapsLimitationsScore
N/A (Editorial. 2024).

(T): Editorial
(SS): N/A.

(J): Nature Reviews Bioengineering (inferred).
To provide insights and guidance on how to craft a high-quality, comprehensive, and authoritative Review article.Review articles.N/A (provides advice).Recommends using a range of sources, including literature databases and community-specific resources.N/AProposes a step-by-step guide for writing a review, covering timeliness, finding a compelling angle, outlining, writing a critical discussion (not a list), and concluding with an outlook.A good review should be timely, objective, balanced, and forward-thinking, synthesizing and critically evaluating research to identify new opportunities.Aim for at least 30 relevant primary papers from the last 2–3 years. Use a narrative structure, compare and contrast findings, and employ visual elements like figures and tables to enhance clarity. Be mindful of citation diversity.A review should identify open questions, controversies, and knowledge gaps to point toward future research directions.This is a brief editorial from the perspective of one journal, not an exhaustive guide.A+++
Table A2. Summary of content analysis results coding format n = 115 RP (Table 11 continued).
Table A2. Summary of content analysis results coding format n = 115 RP (Table 11 continued).
Elsevier
Author(s), Pub YearJournalType of Article(Ob)(TLRI)(M)(SS)(DB)(S)(PG)(KF)(R)(RG)(L)Score
Miguel Alves Pereira et al., (2025)Socio-Economic Planning SciencesIntegrative literature review18YYYYYNYYYYYA+
Nadia Di Paola et al., (2025)Technological Forecasting & Social ChangeReview articleYYYYYNYYYYYA++
Gusenbauer, M., & Gauster, S.P. (2024)Technological Forecasting & Social ChangeMethodological Guidance/Methodological ReviewYYYYYYYYYYYA+++
Cantillo et al., (2024)Aquaculture ReportsTwo-step Systematic Literature ReviewYYYYYNNYYYYA+++
Schmidt, L., et al. (2023)Z. Evid. Fortbild. Qual. Gesundh. wesen (ZEFQ)Narrative ReviewYYYYYYNYYYYA+
Nowell, L., et al. (2022)Social Sciences & Humanities OpenMethodological Reflection/Regular ArticleYYYYNYNYYYYA++
Paul, J., & Rialp Criado, A. (2020)International Business ReviewMethodological Guidance/ReviewYYYNYYYYYYYA+++
Snyder, H. (2019)Journal of Business ResearchMethodological Guidance/OverviewYYYNNNYYYYYA+++
Prince Kwame Senyo et al., (2019)International Journal of Information ManagementSystematic literature reviewYYYYYYYYYYYA+++
Burgers et al., (2019)Journal of PragmaticsMethodological Guidance/ReviewYYYNYNYYYYYA+++
Isabel Ruiz-Perez, Dafina Petrova. (2019)Med Clin (Barc)Special article/Methodological reviewYYYNNNYYYYNA+++
Heidi R. Wright. (2019)English for Specific PurposesResearch Article/Corpus StudyYYYYNYNYYYYA+++
Peter LaPlaca et al., 2017)Industrial Marketing ManagementArticle with guidelines/How-to guideYYYNNNYYYNYA+++
Barbara Kitchenham et al., (2010)Information and Software TechnologyTertiary study (review of reviews)YYYYYYNNYYYA++
Emerald A
Author(s), Pub YearJournalType of Article(Ob)(TLRI)(M)(SS)(DB)(S)(PG)(KF)(R)(RG)(L)Score
Stefan Seuring, Stefan Gold., (2012)Supply Chain Management: An International JournalLiterature reviewYYYYYNYYYYYA+++
Jennifer Rowley, Frances Slack., (2004)Management Research NewsGuidance ArticleYYYNYNYYYNNA+++
GoogleScholar
Author(s), Pub YearJournalType of Article(Ob)(TLRI)(M)(SS)(DB)(S)(PG)(KF)(R)(RG)(L)Score
Davi Nakano, Jorge Muniz Jr. (2018)ProductionTheoretical Essay/Guide98YYNNYYYYYYYA+++
Gerry L. Koons et al., (2019)Annals of Biomedical EngineeringGuide181YYNNYYYYYNYA+++
Christina Cantero. (2019)San José State University Writing CenterGuide/HandoutYYNNNNYYYYNA+++
Nicole L. Stout et al., (2017)PM&RSystematic Review of Systematic ReviewsYYYYYYNYYNYA++
Richard J. Torraco. (v)Human Resource Development ReviewGuideYYYYYNYYYYNA+++
Catherine L. Winchester. (2016)Journal of Clinical UrologyGuideYYNNYNYYYNYA++
Priscilla Robinson, John Lowe. (2015)Australian and New Zealand Journal of Public Health (ANZJPH)Editorial/GuideYYNNYNYYYNYA++
Daniel Strech, Neema Sofaer. (2012)Journal of Medical EthicsMethodology PaperYYNNYYYYYYNA+++
Lorna K Henderson et al. (2010)NephrologyClinical Research/GuideYYNNYYYYYYNA+++
Alison Nightingale. (2009)SurgeryGuideYYNNYNYYYNYA+++
Jeffrey W. Knop (n.s)PS: Political Science & Politics (implied)Guide/“How to” articleYYNNYNYYYYNA+++
Richard J. Torraco. (2005)Human Resource Development ReviewGuideYYNNYNYYYYYA+++
Karen D. Kelly et al., (2001)Annals of Emergency MedicineResearch ArticleYYYYYYNYYNYA+++
Franklin L. Rosenfeldt et al., (2000)Heart, Lung and CirculationGuideYYNNYYYYYNYA++
Roy F. Baumeister and Mark R. Leary. (1997)Review of General PsychologyReview Article/GuideYYNNNNYYYYNA+++
Springer NatureLink
Author(s), Pub YearJournalType of Article(Ob)(TLRI)(M)(SS)(DB)(S)(PG)(KF)(R)(RG)(L)Score
Andréa Aparecida da Costa Mineiro et al. (2024)Quality & QuantitySystematic Literature ReviewYYYYYYYYYYYA+++
Nicolás Leutwyler et al., (2024)Knowledge and Information SystemsReviewYYYYYYYYYYYA++
Mahfooz Ahmed et al., (2024)Knowledge and Information SystemsRegular PaperYYYYYYYYYYYA+++
Øyunn Syrstad Høydal. (2024)MinervaEssay/Conceptual PaperYYYNNNYYYYNA+++
Christina Strauss. (2024)Management Review QuarterlyLiterature ReviewYYYYYYYYYYYA++
H. Carrie Chen et al., (2024)Advances in Health Sciences EducationQ&A Column/AbstractYYYNNNYYYNYA+++
José de la Torre-López et al., (2023)ComputingRegular Paper (Survey)YYYYYYYYYYYA+++
Thomas Olsson et al., (2022)Requirements EngineeringOriginal ArticleYYYYYYYYYYYA++
Dadi Ramesh, Suresh Kumar Sanampudi. (2022)Artificial Intelligence ReviewSystematic Literature ReviewYYYYYYYYYYYA++
Julian Andrés Diaz Tautiva et al., (2022)Management Review QuarterlyBibliometric AnalysisYYYYYYYYYYYA+++
Zachary Munn et al., (2018)BMC Medical Research MethodologyGuidance Article/DebateYYYNNNNYYYNA+++
Sarah Elaine Eaton, Katherine Crossman. (2018)InterchangeScoping ReviewYYYYYNNYYYYA++
Armen Yuri Gasparyan et al., (2011)Rheumatology InternationalReview ArticleYYYNYYYYYYNA+++
Taylor & Francis
Author(s), Pub YearJournalType of Article(Ob)(TLRI)(M)(SS)(DB)(S)(PG)(KF)(R)(RG)(L)Score
Lilian Hoffecker. (2020)The Serials LibrarianOverview/Guidance PaperYYYNNYYYYNNA+++
Bill Matney. (2017)Nordic Journal of Music TherapyOverview/ReviewYYYYNNNYYYNA++
Bert van Wee & David Banister. (2015)Transport ReviewsGuidance/How-to ArticleYYYNYNYYYYNA++
Sarah Catherine Walpole et al., (2015)Medical TeacherBEME Systematic Review432YYYYYYNYYYYA+
Andrew S. Denney & Richard Tewksbury. (2013)Journal of Criminal Justice EducationGuidance/How-to ArticleYYYNNNYYYNNA+
Wiley
Author(s), Pub YearJournalType of Article(Ob)(TLRI)(M)(SS)(DB)(S)(PG)(KF)(R)(RG)(L)Score
Berdanier & Lenart. (2021)Workbook by IEEE/John Wiley & Sons, Inc.Workbook ChaptersYYYNNYYYYYYA+
Mohammad Jahanzeb Khan, Eddie Oczkowski. (2021)International Journal of Auditing139YYYYYYNNYYYYA++

Appendix B

Table A3. Descriptive Link of articles by discipline and databases (NPAD).
Table A3. Descriptive Link of articles by discipline and databases (NPAD).
Publishers (Database)ElsevierEmeraldGoogle ScholarNature PortfolioSpringer Nature LinkTaylor & FrancisWileyTotal
Edu & Engin (EE)4467486629984661061
Mental Health & Health care (MH&HC)192240121453043464
Acc, Fin, Eco & Mgt (AFEM)3198123518410482798
Total957157149236282181912323
Figure A1. Descriptive Link of articles by discipline and databases (NPAD).
Figure A1. Descriptive Link of articles by discipline and databases (NPAD).
Information 17 00583 g0a1
Table A4. Descriptive Link of articles by discipline and publishers (NPAE).
Table A4. Descriptive Link of articles by discipline and publishers (NPAE).
Publishers (Database)ElsevierEmeraldGoogle ScholarNature PortfolioSpringer Nature LinkTaylor & FrancisWileyTotal
Edu & Engin (EE)128217331572012414
Mental Health & Health care (MH&HC)11124041111419301
Acc, Fin, Eco & Mgt (AFEM)11538221107409332
Total35461135837574401047
Table A5. Descriptive categorization of research and review articles by publishers (NPAD).
Table A5. Descriptive categorization of research and review articles by publishers (NPAD).
Type of Research/Review ArticlesElsevierEmeraldGoogle
Scholar
Nature PortfolioSpringer Nature LinkTaylor & FrancisWileyTotal
AI Related R/LR16321311054
Bibliometric, Brief, Mini & Rapid R/LR23920202157
Comparative R/LR22001016
Comprehensive R/LR640031014
Critical R/LR24320110141
How to, What, Why & Guideline R/LR198417451523430534
Integrative R/LR1813031127
Literature Review (LR)1151532618892376
Mixed R/LR162211941283613383
Narrative R/LR1202032120
Case study R/LR44811238186
Scoping R/LR6200322042
Systematic R/LR53111921091515224
Theoretical & Conceptual Framework R/LR23115224342831365
Other R/LR472204170494
Total957157149236282181912323
Figure A2. Descriptive link of articles by discipline and publishers (NPAE).
Figure A2. Descriptive link of articles by discipline and publishers (NPAE).
Information 17 00583 g0a2
Figure A3. Descriptive categorization of research and review articles by publishers (NPAD).
Figure A3. Descriptive categorization of research and review articles by publishers (NPAD).
Information 17 00583 g0a3
Table A6. Descriptive categorization of research and review articles by publishers (NPAE).
Table A6. Descriptive categorization of research and review articles by publishers (NPAE).
Type of Research/Review ArticlesElsevierEmeraldGoogle
Scholar
Nature PortfolioSpringer Nature LinkTaylor & FrancisWileyTotal
AI Related R/LR14000200034
Bibliometric, Brief, Mini & Rapid R/LR8000140022
Comparative R/LR01003004
Comprehensive R/LR231031010
Critical R/LR10321100228
How to, What, Why & Guideline R/LR478563391610179
Integrative R/LR1912042028
Literature Review (LR)709240462013182
Mixed R/LR22522214460
Narrative R/LR1002032118
Case study R/LR822062020
Scoping R/LR8240371052
Systematic R/LR508170125129221
Theoretical & Conceptual Framework R/LR56812129110117
Other R/LR3011111153172
Total35461135837574401047
Figure A4. Descriptive categorization of research and review articles by publishers (NPAE).
Figure A4. Descriptive categorization of research and review articles by publishers (NPAE).
Information 17 00583 g0a4
Table A7. Descriptive categorization of research and literature review articles by year (NPAD).
Table A7. Descriptive categorization of research and literature review articles by year (NPAD).
Year/DisciplineEdu & Engin (EE)Mental Health & Health Care (MH&HC)Acc, Fin, Eco & Mgt (AFEM)Total
B19993252562
1999–200040181876
2001–200235152070
2003–200446133291
2005–2006522432108
2007–2008592526110
2009–2010603425119
2011–2012592246127
2013–2014774158176
2015–2016753586196
2017–20189141108240
2019–202014655108309
2021–20221117386270
2023–202416555116336
2025 (March)1381233
Total10614647982323
Figure A5. Descriptive categorization of research and literature review articles by year (NPAD).
Figure A5. Descriptive categorization of research and literature review articles by year (NPAD).
Information 17 00583 g0a5
Table A8. Descriptive link between discipline and type of research and literature review articles (NPAE).
Table A8. Descriptive link between discipline and type of research and literature review articles (NPAE).
Type of Research and Literature Review Articles/Discipline Edu & Engin (EE)Mental Health & Health Care (MH&HC)Acc, Fin, Eco & Mgt (AFEM)Total
AI Related R/LR44311
Bibliometric, Brief, Mini & Rapid R/LR99119
Comparative R/LR17311
Comprehensive R/LR97319
Critical R/LR816832
How to, What, Why & Guideline R/LR1312530
Integrative R/LR1923749
Literature Review (LR)2591246
Mixed R/LR29252276
Narrative R/LR24252877
Case study R/LR333052115
Scoping R/LR653156152
Systematic R/LR625748167
Theoretical & Conceptual Framework R/LR1033876217
Other R/LR108826
Total4143013321047
Figure A6. Descriptive link between discipline and type of research and literature review articles (NPAE).
Figure A6. Descriptive link between discipline and type of research and literature review articles (NPAE).
Information 17 00583 g0a6

Appendix C

Graphical Abstract and research summary.
Figure A7. Research summary.
Figure A7. Research summary.
Information 17 00583 g0a7
Table A9. The GARP-4LR Short Focus Framework. For practitioners and novice researchers who require a quick-start guide, we have extracted a condensed, three-pillar structure from the full 24-step protocol. This Short Focus Framework captures the minimal essential tasks that, when properly executed, guarantee a relevant, accurate, and sustainable literature review.
Table A9. The GARP-4LR Short Focus Framework. For practitioners and novice researchers who require a quick-start guide, we have extracted a condensed, three-pillar structure from the full 24-step protocol. This Short Focus Framework captures the minimal essential tasks that, when properly executed, guarantee a relevant, accurate, and sustainable literature review.
The GARP 4LR Short Focus Framework
  • Systematic Data Collection
    Define scope, databases, keywords, and inclusion/exclusion criteria.
    Execute a documented search and screen records, removing duplicates and irrelevant items.
    Use reference managers to organize the retrieved literature.
2.
Rigorous Data Processing
Code and categorize the included studies (e.g., by theme, method, year).
Extract key information (methodology, findings, gaps) using a standardized form or software.
Synthesize the evidence through narrative, tables, or meta-analysis, as appropriate.
3.
Transparent Data Reporting
Present results in clear tables, figures, and narrative text.
Discuss the contributions, limitations, and implications.
Prepare the manuscript according to the targeted journal’s guidelines and actively participate in the post-publication dissemination.
The short focus framework does not replace the full GARP-4LR; rather, it serves as a mnemonic and a rapid planning tool, especially useful for teaching and initial project scoping. The detailed steps in the complete protocol provide the necessary depth when moving from concept to publication.
Table A10. Simplify comparative overview of GARP 4LR, PRISMA 2020, and SPAR 4 SLR.
Table A10. Simplify comparative overview of GARP 4LR, PRISMA 2020, and SPAR 4 SLR.
FeatureGARP-4LR (Proposed)PRISMA StatementSPAR-4-SLR Protocol
Primary ScopeMultidisciplinary/UniversalMedicine and HealthcareBusiness, Management, AFEM
Core FocusEnd-to-end writing, publication, and sharing processReporting transparency and bias reductionJustification of methodological decisions
Structure4 Phases, 24 Steps27-item checklist3 Stages, 14 Decisions
“Noise” EliminatedBypasses rigid statistical meta-analysis requirements for general reviews; focuses only on actionable synthesis stepsN/A (Highly rigid)N/A (Focuses heavily on early-stage retrieval rationale)
Publication PhaseExplicitly included (Targeting, matching)Not includedBriefly mentioned as a final step
Post-PublicationExplicitly included (Sharing, updating)Not includedNot included

References

  1. Gusenbauer, M.; Gauster, S.P. How to search for literature in systematic reviews and meta-analyses: A comprehensive step-by-step guide. Technol. Forecast. Soc. Change 2025, 212, 123833. [Google Scholar] [CrossRef]
  2. Kosztyán, Z.T.; Csizmadia, T.; Katona, A.I. SIMILAR—Systematic iterative multilayer literature review method. J. Informetr. 2021, 15, 101111. [Google Scholar] [CrossRef]
  3. Gorman, M.F. A “Metasurvey” analysis in Operations Research and Management Science: A survey of literature reviews. Surv. Oper. Res. Manag. Sci. 2016, 21, 18–28. [Google Scholar] [CrossRef]
  4. de Wildt, T.E.; Chappin, E.J.; van de Kaa, G.; Herder, P.M.; van de Poel, I.R. Conflicting values in the smart grid: A systematic literature review. Renew. Sustain. Energy Rev. 2018, 90, 883–891. [Google Scholar]
  5. Lim, W.M.; Kumar, S.; Donthu, N. How to combine and clean bibliometric data and use bibliometric tools synergistically: Guidelines using metaverse research. J. Bus. Res. 2024, 182, 114760. [Google Scholar] [CrossRef]
  6. Suri, H. Towards Methodologically Inclusive Research Syntheses; Routledge: London, UK, 2013. [Google Scholar]
  7. Braun, V.; Clarke, V. Using thematic analysis in psychology. Qual. Res. Psychol. 2006, 3, 77–101. [Google Scholar] [CrossRef]
  8. Hrastinski, S. What is online learner participation? A literature review. Comput. Educ. 2008, 51, 1755–1765. [Google Scholar] [CrossRef]
  9. Wright, K.B. Researching Internet-Based Populations: Advantages and Disadvantages of Online Survey Research, Data Collection, and Emerging Technologies. J. Comput.-Mediat. Commun. 2005, 10, JCMC1034. [Google Scholar]
  10. Akhigbe, T.; Zolnourian, A.; Bulters, D. Compliance of systematic reviews articles in brain arteriovenous malformation with PRISMA statement guidelines: Review of literature. J. Clin. Neurosci. 2017, 39, 45–48. [Google Scholar] [CrossRef]
  11. Riar, M.; Xi, N.; Korbel, J.J.; Zarnekow, R.; Hamari, J. Using augmented reality for shopping: A framework for AR induced consumer behavior, literature review and future agenda. Internet Res. 2022, 33, 242–279. [Google Scholar] [CrossRef]
  12. Greenhalgh, T.; Peacock, R. Effectiveness and efficiency of search methods in systematic reviews of complex evidence: Audit of primary sources. BMJ 2005, 331, 1064–1065. [Google Scholar] [CrossRef]
  13. Kirca, A.H.; Yaprak, A. The use of meta-analysis in international business research: Its current status and suggestions for better practice. Int. Bus. Rev. 2010, 19, 306–314. [Google Scholar] [CrossRef]
  14. Hrastinski, S. Asynchronous and synchronous e-learning. Educ. Q. 2008, 31, 51–55. [Google Scholar]
  15. Liu, S.; Zheng, P.; Bao, J. Digital Twin-based manufacturing system: A survey based on a novel reference model. J. Intell. Manuf. 2023, 35, 2517–2546. [Google Scholar] [CrossRef]
  16. Soltani, Z.; Navimipour, N.J. Customer relationship management mechanisms: A systematic review of the state-of-the-art literature and recommendations for future research. Comput. Hum. Behav. 2016, 61, 667–688. [Google Scholar] [CrossRef]
  17. Borenstein, M.; Hedges, L.V.; Higgins, J.P.; Rothstein, H.R. Introduction to Meta-Analysis; Wiley: Chichester, UK, 2009. [Google Scholar]
  18. Grant, M.J.; Booth, A. A typology of reviews: An analysis of 14 review types and associated methodologies. Health Inf. Libr. J. 2009, 26, 91–108. [Google Scholar] [CrossRef]
  19. Di Paola, N.; Chari, S.; Iannacci, F.; Kraus, S. Configurational theory in business and management research: Status quo and guidelines for the application of qualitative comparative analysis (QCA). Technol. Forecast. Soc. Change 2025, 211, 123907. [Google Scholar] [CrossRef]
  20. Annarelli, A.; Battistella, C.; Costantino, F.; Di Gravio, G.; Nonino, F.; Patriarca, R. New trends in product service system and servitization research: A conceptual structure emerging from three decades of literature. CIRP J. Manuf. Sci. Technol. 2021, 32, 424–436. [Google Scholar] [CrossRef]
  21. Franco-Santos, M.; Lucianetti, L.; Bourne, M. Contemporary performance measurement systems: A review of their consequences and a framework for research. Manag. Account. Res. 2012, 23, 79–119. [Google Scholar] [CrossRef]
  22. Stange, R.; Schiele, H.; Henseler, J. Advancing purchasing as a design science: Publication guidelines to shift towards more relevant purchasing research. J. Purch. Supply Manag. 2022, 28, 100750. [Google Scholar] [CrossRef]
  23. Yousefian, J.; Zadeh, A.H.; Franklin, R.; Vanevenhoven, J. Factors correlated with the perceived usefulness of online reviews for consumers: A meta-analysis of the moderating effects of product type. J. Retail. Consum. Serv. 2021, 61, 102554. [Google Scholar]
  24. Sauer, P.C.; Seuring, S. How to conduct systematic literature reviews in management research: A guide in 6 steps and 14 decisions. Rev. Manag. Sci. 2023, 17, 1411–1446. [Google Scholar] [CrossRef]
  25. Carroll, C.; Rick, J.; Leaviss, J.; Fishwick, D.; Booth, A. A qualitative evidence synthesis of employees’ views of workplace smoking cessation interventions. BMC Public Health 2013, 13, 1095. [Google Scholar] [CrossRef]
  26. Wee, B.V.; Banister, D. How to Write a Literature Review Paper? Transp. Rev. 2016, 36, 278–288. [Google Scholar] [CrossRef]
  27. Nowell, L.; Paolucci, A.; Dhingra, S.; Jacobsen, M.; Lorenzetti, D.L.; Lorenzetti, L.; Oddone-Paolucci, E. Interdisciplinary mixed methods systematic reviews: Reflections on methodological best practices, theoretical considerations, and practical implications across disciplines. Soc. Sci. Humanit. Open 2022, 6, 100295. [Google Scholar] [CrossRef]
  28. Koons, G.L.; Schenke-Layland, K.; Mikos, A.G. Literature review as a research methodology: An overview and guidelines. J. Bus. Res. 2024, 170, 114–120. [Google Scholar]
  29. Schmidt, L.; Sinyor, M.; Webb, R.T.; Marshall, C.; Knipe, D.; Eyles, E.C.; John, A.; Gunnell, D.; Higgins, J.P. A narrative review of recent tools and innovations toward automating living systematic reviews and evidence syntheses. Z. Evid. Fortbild. Qual. Gesundheitswesen 2023, 181, 65–75. [Google Scholar] [CrossRef]
  30. Rowley, J.; Slack, F. Conducting a literature review. Manag. Res. News 2004, 27, 31–39. [Google Scholar] [CrossRef]
  31. Burgers, C.; Brugman, B.C.; Boeynaems, A. Systematic literature reviews: Four applications for interdisciplinary research. J. Pragmat. 2019, 145, 102–109. [Google Scholar] [CrossRef]
  32. Carnevalli, J.A.; Miguel, P.C. Review, analysis and classification of the literature on QFD-Types of research, difficulties and benefits. Int. J. Prod. Econ. 2008, 114, 737–754. [Google Scholar] [CrossRef]
  33. Phillips-Beck, W.; Bukich, B.L.J.; Thiessen, K.; Lavoie, J.G.; Schultz, A.; Sanguins, J.; Beck, G.; Longclaws, B.; Shingoose, G.; Palmer, M.; et al. An Indigenous-informed scoping review study methodology: Advancing the science of scoping reviews. Syst. Rev. 2024, 13, 181. [Google Scholar] [CrossRef]
  34. Webster, J.; Watson, R.T. Analyzing the Past to Prepare for the Future: Writing a Literature Review. MIS Q. 2002, 26, xiii–xxiii. [Google Scholar] [CrossRef]
  35. Rana, N.P.; Dwivedi, Y.K.; Williams, M.D.; Weerakkody, V. Adoption of online public grievance redressal system in India: Toward developing a unified view. Comput. Hum. Behav. 2016, 59, 265–282. [Google Scholar] [CrossRef]
  36. Lattanzi, L.; Raffaeli, R.; Peruzzini, M.; Pellicciari, M. Digital Twin for Smart Manufacturing: A Review of Concepts Towards a Practical Industrial Implementation. Int. J. Comput. Integr. Manuf. 2021, 34, 567–597. [Google Scholar] [CrossRef]
  37. Tarique, I.; Schuler, R.S. Global talent management: Literature review, integrative framework, and suggestions for further research. J. World Bus. 2010, 45, 122–133. [Google Scholar] [CrossRef]
  38. Combs, J.P.; Onwuegbuzie, A.J.; Edgette, J.S.; Harris, K.M.; Frels, R.K. An interactive literature review process (ILRP) meta-framework for doctoral students. Int. J. Mult. Res. Approaches 2010, 4, 159–176. [Google Scholar] [CrossRef]
  39. Cronin, P.; Ryan, F.; Coughlan, M. Undertaking a literature review: A step-by-step approach. Br. J. Nurs. 2008, 17, 38–43. [Google Scholar] [CrossRef]
  40. Carroll, C. Qualitative evidence synthesis to aid healthcare decision making. BMJ 2024, 384, e074092. [Google Scholar]
  41. Sousa Filho, L.F.; Farlie, M.K.; Haines, T.; Borrelli, B.; Carroll, C.; Mathews, C.; Ribeiro, D.C.; Fritz, J.M.; Underwood, M.; Foster, N.E.; et al. Developing an international consensus Reporting guideline for intervention Fidelity in Non-Drug, non-surgical trials: The ReFiND protocol. Contemp. Clin. Trials 2024, 142, 107575. [Google Scholar] [CrossRef]
  42. Barry, E.S.; Merkebu, J.; Varpio, L. State-of-the-art (SotA) review methodology. Perspect. Med. Educ. 2022, 11, 1–7. [Google Scholar] [CrossRef]
  43. Vom Brocke, J.; Simons, A.; Niehaves, B.; Niehaves, B.; Riemer, K.; Plattfaut, R.; Cleven, A. Reconstructing the Giant: On the Importance of Rigour in Documenting the Literature Search Process. In Proceedings of the 17th European Conference on Information Systems, (ECIS), Verona, Italy, 8–10 June 2009; pp. 2206–2217. [Google Scholar]
  44. Froese, A.D.; Gantz, B.S.; Henry, A.L. Using a meta-analytic model to teach undergraduate psychology students how to write a literature review. Teach. Psychol. 1998, 25, 273–275. [Google Scholar] [CrossRef]
  45. Rylee, T.L.; Cavanagh, S.J. Conducting a literature review using qualitative data analysis software: A step-by-step process. Health Serv. Outcomes Res. Methodol. 2022, 22, 1–18. [Google Scholar]
  46. Mishra, V.; Mishra, M.P. Prisma for Review of Management Literature—Method, Merits, and Limitations—An Academic Review. Rev. Manag. Lit. 2023, 2, 125–136. [Google Scholar]
  47. Callahan, J.L. Writing Literature Reviews: A Reprise and Update. Hum. Resour. Dev. Rev. 2014, 13, 271–275. [Google Scholar] [CrossRef]
  48. Conn, V.S.; Coon Sells, T.G. Is It Time to Write a Review Article? West. J. Nurs. Res. 2014, 36, 435–439. [Google Scholar]
  49. Boote, D.N.; Beile, P. Scholars Before Researchers: On the Centrality of the Dissertation Literature Review in Research Preparation. Educ. Res. 2005, 34, 3–15. [Google Scholar] [CrossRef]
  50. Schryen, G.; Wagner, G.; Benlian, A.; Paré, G. A Knowledge Development Perspective on Literature Reviews: Validation of a new Typology in the IS Field. Commun. Assoc. Inf. Syst. 2020, 46, 134–186. [Google Scholar] [CrossRef]
  51. Templier, M.; Paré, G. Transparency in literature reviews: An assessment of reporting practices across review types and genres in top IS journals. Eur. J. Inf. Syst. 2018, 27, 503–550. [Google Scholar] [CrossRef]
  52. Paré, G.; Trudel, M.C.; Jaana, M.; Kitsiou, S. Synthesizing information systems knowledge: A typology of literature reviews. Inf. Manag. 2015, 52, 183–199. [Google Scholar] [CrossRef]
  53. Kraus, S.; Breier, M.; Lim, W.M.; Dabić, M.; Kumar, S.; Kanbach, D.; Mukherjee, D.; Corvello, V.; Piñeiro-Chousa, J.; Liguori, E.; et al. Literature reviews as independent studies: Guidelines for academic practice. Rev. Manag. Sci. 2022, 16, 2577–2595. [Google Scholar] [CrossRef]
  54. Khoo, C.S.G.; Rozaklis, L.; Hall, C. Macro-level discourse structure of literature reviews. Online Inf. Rev. 2011, 35, 1–22. [Google Scholar] [CrossRef]
  55. Seuring, S.; Yawar, S.A.; Land, A.; Khalid, R.U.; Sauer, P.C. The application of theory in literature reviews—Illustrated with examples from supply chain management. Int. J. Oper. Prod. Manag. 2021, 41, 1–20. [Google Scholar] [CrossRef]
  56. Xiao, Y.; Watson, M. Guidance on Conducting a Systematic Literature Review. J. Plan. Educ. Res. 2019, 39, 93–112. [Google Scholar] [CrossRef]
  57. Haddaway, N.R.; Collins, A.M.; Coughlin, D.; Kirk, S. Eight problems with literature reviews and how to fix them. Nat. Ecol. Evol. 2020, 4, 1150–1155. [Google Scholar] [CrossRef]
  58. Tricco, A.C.; Lillie, E.; Zarin, W.; O’Brien, K.K.; Colquhoun, H.; Levac, D.; Moher, D.; Peters, M.D.; Horsley, T.; Weeks, L.; et al. PRISMA extension for scoping reviews (PRISMA-ScR): Checklist and explanation. Ann. Intern. Med. 2018, 169, 467–473. [Google Scholar] [CrossRef]
  59. Booth, A.; Sutton, A.; Papaioannou, D. Systematic Approaches to a Successful Literature Review; Sage: London, UK, 2016. [Google Scholar]
  60. Yu, J.; Song, Y.; Karakoç, A.; Heikkilä, P.; Sirviö, J.A.; Liimatainen, H.; Panschin, S. Recent progress in cellulose nanocrystals: Sources and applications. Nanomaterials 2017, 7, 28. [Google Scholar]
  61. Gulotta, T.M.; Salomone, R.; Mondello, G.; Ricca, B. FLAVIA-LCT: Framework for systematic literature review to analyse vast InformAtion in life cycle thinking studies. Heliyon 2023, 9, e15547. [Google Scholar] [CrossRef]
  62. Buetow, S.; Lovatt, J. From insight to innovation: Harnessing artificial intelligence for dynamic literature reviews. J. Acad. Librariansh. 2024, 50, 102901. [Google Scholar] [CrossRef]
  63. Evans, D.; Pearson, A. Systematic reviews: Gatekeepers of nursing knowledge. J. Clin. Nurs. 2001, 10, 593–599. [Google Scholar] [CrossRef]
  64. Juntunen, M.; Lehenkari, M. A narrative literature review process for an academic business research thesis. Stud. High. Educ. 2021, 46, 330–342. [Google Scholar] [CrossRef]
  65. Randolph, J.J. A Guide to Writing the Dissertation Literature Review. Pract. Assess. Res. Eval. 2009, 14, 13. [Google Scholar]
  66. Moher, D.; Shamseer, L.; Clarke, M.; Ghersi, D.; Liberati, A.; Petticrew, M.; Shekelle, P.; Stewart, L.A. Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement. Syst. Rev. 2015, 4, 1. [Google Scholar] [CrossRef]
  67. Bassey, E.; Mulligan, E.; Ojo, A. A conceptual framework for digital tax administration—A systematic review. Gov. Inf. Q. 2022, 39, 101754. [Google Scholar] [CrossRef]
  68. Koivu, A.M.; Hunter, P.J.; Näsänen-Gilmore, P.; Muthiani, Y.; Isojärvi, J.; Pörtfors, P.; Ashorn, U.; Ashorn, P. Modular literature review: A novel systematic search and review method to support priority setting in health policy and practice. BMC Med. Res. Methodol. 2021, 21, 268. [Google Scholar] [CrossRef]
  69. Diaz Tautiva, J.A.; Rifo Rivera, F.I.; Barros Celume, S.A.; Rifo Rivera, S.A. Mapping the research about organisations in the latin american context: A bibliometric analysis. Manag. Rev. Q. 2024, 74, 121–169. [Google Scholar] [CrossRef]
  70. Albasheer, O.; Abdelwahab, S.I.; Zaino, M.R.; Altraifi, A.A.A.; Hakami, N.; El-Amin, E.I.; Alshehri, M.M.; Alghamdi, S.M.; Alqahtani, A.S.; Alenazi, A.M.; et al. The impact of social isolation and loneliness on cardiovascular disease risk factors: A systematic review, meta-analysis, and bibliometric investigation. Sci. Rep. 2024, 14, 12871. [Google Scholar] [CrossRef]
  71. Mohamed Shaffril, H.A.; Samsuddin, S.F.; Samah, A.A. GuFSyADD: A guideline for developing a systematic literature review for climate change adaptation studies. Environ. Sci. Pollut. Res. 2021, 28, 44677–44692. [Google Scholar]
  72. Reijers, W.; Wright, D.; Brey, P.; Weber, K.; Rodrigues, R.; O’Sullivan, D.; Gordijn, B. Methods for Practising Ethics in Research and Innovation: A Literature Review, Critical Analysis and Recommendations. Sci. Eng. Ethics 2018, 24, 1437–1459. [Google Scholar] [CrossRef]
  73. Kritzinger, W.; Karner, M.; Traar, G.; Henjes, J.; Sihn, W. Digital Twin in manufacturing: A categorical literature review and classification. IFAC-PapersOnLine 2018, 51, 1016–1022. [Google Scholar] [CrossRef]
  74. Romme, A.G.L. Making a difference: Organization as design. Organ. Sci. 2003, 14, 558–573. [Google Scholar] [CrossRef]
  75. Bayazit, N. Investigating design: A review of forty years of design research. Des. Issues 2004, 20, 16–29. [Google Scholar] [CrossRef]
  76. van Aken, J.E. Management research based on the design science paradigm: The quest for field-tested and grounded technological rules. J. Manag. Stud. 2004, 41, 219–246. [Google Scholar]
  77. Gulati, R. Tent poles, tribalism, and boundary spanning: The rigor-relevance debate in management research. Acad. Manag. J. 2007, 50, 775–782. [Google Scholar] [CrossRef]
  78. Cooper, H.M. The Integrative Research Review: A Systematic Approach; Sage: Beverly Hills, CA, USA, 1985. [Google Scholar]
  79. Cook, D.J.; Mulrow, C.D.; Haynes, R.B. Systematic reviews: Synthesis of best evidence for clinical decisions. Ann. Intern. Med. 1997, 126, 376–380. [Google Scholar] [CrossRef]
  80. Gough, D.; Oliver, S.; Thomas, J. An Introduction to Systematic Reviews; Sage: London, UK, 2012. [Google Scholar]
  81. Booth, A. Searching for qualitative research for inclusion in systematic reviews: A structured methodological review. Syst. Rev. 2016, 5, 74. [Google Scholar] [CrossRef]
  82. Davies, P. The relevance of systematic reviews to educational policy and practice. Oxf. Rev. Educ. 2000, 26, 365–378. [Google Scholar] [CrossRef]
  83. Van Acker, J.; Wee, B.; Witlox, F. When transport geography meets social psychology: Toward a conceptual model of travel behaviour. Transp. Rev. 2010, 30, 219–240. [Google Scholar] [CrossRef]
  84. Denyer, D.; Tranfield, D. Producing a systematic review. In The Sage Handbook of Organizational Research Methods; Buchanan, D.A., Bryman, A., Eds.; Sage: London, UK, 2009; pp. 671–689. [Google Scholar]
  85. Onwuegbuzie, A.J.; Frels, R.K. Discourse analysis-based research synthesis (DARS): A framework for using discourse analysis to review literature. Couns. Outcome Res. Eval. 2014, 5, 52–63. [Google Scholar] [CrossRef]
  86. Choi, B.C.; Pak, A.W. Multidisciplinarity, interdisciplinarity and transdisciplinarity in health research, services, education and policy: 1. Definitions, objectives, and evidence of effectiveness. Clin. Investig. Med. 2006, 29, 351–364. [Google Scholar]
  87. Cooper, H.M. Scientific guidelines for conducting integrative research reviews. Rev. Educ. Res. 1982, 52, 291–302. [Google Scholar] [CrossRef]
  88. Kitchenham, B.; Charters, S. Guidelines for Performing Systematic Literature Reviews in Software Engineering; Technical Report EBSE 2007-001; Keele University: Keele, UK, 2007. [Google Scholar]
  89. Hart, C. Doing a Literature Review: Releasing the Social Science Research Imagination; Sage: London, UK, 1998. [Google Scholar]
  90. Rousseau, D.M.; Manning, J.; Denyer, D. Evidence-based management: Foundations, development, controversies and progress. Acad. Manag. Ann. 2008, 2, 475–515. [Google Scholar] [CrossRef]
  91. Okoli, C.; Schabram, K. A guide to conducting a systematic literature review of information systems research. Sprouts Work. Pap. Inf. Syst. 2010, 10, 26. [Google Scholar] [CrossRef]
  92. Templier, M.; Paré, G. A framework for guiding and evaluating theory development literature reviews. Technol. Forecast. Soc. Change 2015, 101, 112–124. [Google Scholar]
  93. Shamseer, L.; Moher, D.; Clarke, M.; Ghersi, D.; Liberati, A.; Petticrew, M.; Shekelle, P.; Stewart, L.A. Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015: Elaboration and explanation. BMJ 2015, 349, g7647. [Google Scholar] [CrossRef]
  94. Pandey, P.; Gupta, S.; Gupta, D. Enhancing the systematic literature review: A double-stage SLR approach. Heliyon 2024, 10, e25633. [Google Scholar] [CrossRef]
  95. Jalali, S.; Wohlin, C. Systematic literature studies: Database searches vs. backward snowballing. In Proceedings of the 2012 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement, Lund, Sweden, 19–20 September 2012; pp. 29–38. [Google Scholar]
  96. Durach, C.F.; Kembro, J.; Wieland, A. A new paradigm for systematic literature reviews in supply chain management. J. Supply Chain Manag. 2017, 53, 67–85. [Google Scholar] [CrossRef]
  97. Tranfield, D.; Denyer, D.; Smart, P. Towards a methodology for developing evidence-informed management knowledge by means of systematic review. Br. J. Manag. 2003, 14, 207–222. [Google Scholar] [CrossRef]
  98. Paul, J.; Lim, W.M.; O’Cass, A.; Hao, A.W.; Bresciani, S. Scientific procedures and rationales for systematic literature reviews (SPAR-4-SLR). Int. J. Consum. Stud. 2021, 45, O1–O16. [Google Scholar] [CrossRef]
  99. Moher, D.; Liberati, A.; Tetzlaff, J.; Altman, D.G. Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. PLoS Med. 2009, 6, e1000097. [Google Scholar] [CrossRef]
  100. Page, M.J.; McKenzie, J.E.; Bossuyt, P.M.; Boutron, I.; Hoffmann, T.C.; Mulrow, C.D.; Shamseer, L.; Tetzlaff, J.M.; Akl, E.A.; Brennan, S.E.; et al. The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ 2021, 372, n71. [Google Scholar] [CrossRef]
  101. Aromataris, E.; Munn, Z. JBI Manual for Evidence Synthesis; JBI: Adelaide, Australia, 2020. [Google Scholar]
  102. Thomas, J.; Harden, A. Methods for the thematic synthesis of qualitative research in systematic reviews. BMC Med. Res. Methodol. 2008, 8, 45. [Google Scholar] [CrossRef]
  103. Joanna Briggs Institute. The Joanna Briggs Institute Critical Appraisal Tools for Use in JBI Systematic Reviews; JBI: Adelaide, Australia, 2017. [Google Scholar]
  104. Okoli, C.; Pawlowski, S.D. The Delphi method as a research tool: An example, design considerations and applications. Inf. Manag. 2004, 42, 15–29. [Google Scholar] [CrossRef]
  105. Fink, A. Conducting Research Literature Reviews: From the Internet to Paper, 3rd ed.; SAGE Publications: Thousand Oaks, CA, USA, 2010. [Google Scholar]
  106. Piggott, T.; Moja, L.; Jenei, K.; Kredo, T.; Skoetz, N.; Banzi, R.; Trapani, D.; Leong, T.; McCaul, M.; Lavis, J.N.; et al. Grading of recommendations, assessment, development and evaluations concept 7. J. Clin. Epidemiol. 2024, 166, 111054. [Google Scholar]
  107. Roy, S.; Chakraborti, T.; Chowdhury, A.; Chakraborti, S. Role of PKC-η in NF-κB-MT1-MMP-mediated activation of proMMP-2 by TNF-α in pulmonary artery smooth muscle cells. J. Biochem. 2013, 153, 289–302. [Google Scholar] [CrossRef]
  108. Schulz, K.F.; Altman, D.G.; Moher, D. CONSORT 2010 Statement: Updated guidelines for reporting parallel group randomised trials. BMJ 2010, 340, c332. [Google Scholar] [CrossRef]
  109. Kraft, J.M.; Paina, L.; Boydell, V.; Elnakib, S.; Sihotang, A.; Bailey, A.; Tolmie, C. Social Accountability Reporting for Research (SAR4Research) checklist: Checklist to strengthen reporting on studies on social accountability in the literature. Int. J. Equity Health 2022, 21, 121. [Google Scholar] [CrossRef]
  110. Muka, T.; Glisic, M.; Milic, J.; Verhoog, S.; Bohlius, J.; Bramer, W.; Chowdhury, R.; Franco, O.H. A 24-step guide on how to design, conduct, and successfully publish a systematic review and meta-analysis in medical research. Eur. J. Epidemiol. 2020, 35, 49–60. [Google Scholar] [CrossRef]
  111. Shi, L.; Ding, Y.; Cheng, B. Development and Application of Digital Twin Technique in Steel Structures. Appl. Sci. 2024, 14, 11685. [Google Scholar] [CrossRef]
  112. Richardson, W.S.; Wilson, M.C.; Nishikawa, J.; Hayward, R.S. The well-built clinical question: A key to evidence-based decisions. ACP J. Club 1995, 123, A12–A13. [Google Scholar] [CrossRef]
  113. Arksey, H.; O’Malley, L. Scoping studies: Towards a methodological framework. Int. J. Soc. Res. Methodol. 2005, 8, 19–32. [Google Scholar] [CrossRef]
  114. Higgins, J.P.; Green, S.; Ben Van Den, A. (Eds.) Cochrane Handbook for Systematic Reviews of Interventions, 2nd ed.; Wiley-Blackwell: Hoboken, NJ, USA, 2019. [Google Scholar]
  115. Kitchenham, B.; Brereton, O.P.; Budgen, D.; Turner, M.; Bailey, J.; Linkman, S. Systematic literature reviews in software engineering—A systematic literature review. Inf. Softw. Technol. 2009, 51, 7–15. [Google Scholar] [CrossRef]
  116. Ahmed, M.; Othman, R.; Noordin, M.F.; Ibrahim, A.A.; Al-Hussaini, A.I.S. Factors influencing open science participation through research data sharing and reuse among researchers: A systematic literature review. Knowl. Inf. Syst. 2025, 67, 2801–2853. [Google Scholar] [CrossRef]
  117. Lamé, G. Systematic Literature Reviews: An Introduction. In Proceedings of the 22nd International Conference on Engineering Design (ICED19), Delft, The Netherlands, 5–8 August 2019; pp. 1633–1642. [Google Scholar] [CrossRef]
  118. Pati, D.; Lorusso, L.N. How to Write a Systematic Review of the Literature. Health Environ. Res. Des. J. 2017, 10, 15–30. [Google Scholar] [CrossRef]
  119. Alsalami, A.I. Literature review as a key step in research processes: Case study of MA dissertations written on EFL of Saudi context. Saudi J. Lang. Stud. 2022, 2, 153–169. [Google Scholar] [CrossRef]
  120. Denzin, N.K.; Lincoln, Y.S. (Eds.) Grounded Theory. In The Sage Handbook of Qualitative Research; Sage: Thousand Oaks, CA, USA, 2011. [Google Scholar]
  121. Dhammi, I.K.; Haq, R.U. How to Write Systematic Review or Metaanalysis. Indian J. Orthop. 2018, 52, 575–577. [Google Scholar] [CrossRef]
  122. Wright, R.W.; Brand, R.A.; Dunn, W.; Spindler, K.P. How to write a systematic review. Clin. Orthop. Relat. Res. 2007, 455, 23–29. [Google Scholar] [CrossRef]
  123. Shaffril, H.A.M.; Samah, A.A.; Samsuddin, S.F. Guidelines for developing a systematic literature review for studies related to climate change adaptation. Environ. Sci. Pollut. Res. 2021, 28, 22265–22277. [Google Scholar] [CrossRef]
  124. Su, S.; Zhong, R.Y.; Jiang, Y. Digital Twin and Its Applications in the Construction Industry: A State-of-Art Systematic Review. Digit. Twin 2024, 2, 2501499. [Google Scholar] [CrossRef]
Figure 1. GARP flowchart following PRISMA statement.
Figure 1. GARP flowchart following PRISMA statement.
Information 17 00583 g001
Figure 2. Keyword clustering method (KCM).
Figure 2. Keyword clustering method (KCM).
Information 17 00583 g002
Figure 3. Chronological change in sample across all seven (7) databases.
Figure 3. Chronological change in sample across all seven (7) databases.
Information 17 00583 g003
Figure 4. Chronological change in sample size across all (3) disciplines groups.
Figure 4. Chronological change in sample size across all (3) disciplines groups.
Information 17 00583 g004
Figure 5. Chronological change in sample size by year (1999–2025 March).
Figure 5. Chronological change in sample size by year (1999–2025 March).
Information 17 00583 g005
Figure 6. Chronological change in sample size across all (14) research and literature review categories.
Figure 6. Chronological change in sample size across all (14) research and literature review categories.
Information 17 00583 g006
Figure 7. Chronological change in sample size across all (4) types of research and literature review.
Figure 7. Chronological change in sample size across all (4) types of research and literature review.
Information 17 00583 g007
Figure 8. Chronological change in sample size across two (2) types of articles.
Figure 8. Chronological change in sample size across two (2) types of articles.
Information 17 00583 g008
Figure 9. Chronological change in sample size across guideline research and literature review. Note: Tables and graphs describing the full distribution of articles by category across all databases and disciplines are reported in Appendix B and Supplementary Files S2 and S3. Note: See Table A3, Table A4, Table A5, Table A6, Table A7, Table A8, Table A9 and Table A10, and Figure A1, Figure A2, Figure A3, Figure A4, Figure A5, Figure A6 and Figure A7 in Appendix B and Appendix C for full descriptive analysis, research framework, and GARP4LR comparative table.
Figure 9. Chronological change in sample size across guideline research and literature review. Note: Tables and graphs describing the full distribution of articles by category across all databases and disciplines are reported in Appendix B and Supplementary Files S2 and S3. Note: See Table A3, Table A4, Table A5, Table A6, Table A7, Table A8, Table A9 and Table A10, and Figure A1, Figure A2, Figure A3, Figure A4, Figure A5, Figure A6 and Figure A7 in Appendix B and Appendix C for full descriptive analysis, research framework, and GARP4LR comparative table.
Information 17 00583 g009
Figure 10. Generally Accepted Research Protocol Framework (GARP step-by-step guideline). Note: The numbers and arrows in Figure 10 represent the four steps of a literature review and the direction of the next step after each steps and sub-steps.
Figure 10. Generally Accepted Research Protocol Framework (GARP step-by-step guideline). Note: The numbers and arrows in Figure 10 represent the four steps of a literature review and the direction of the next step after each steps and sub-steps.
Information 17 00583 g010
Figure 11. Generally Accepted Research Protocol Application (GARP end-to-end guideline). Note: each arrow in Figure 11 show the direction of the next step after each step and sub-steps.
Figure 11. Generally Accepted Research Protocol Application (GARP end-to-end guideline). Note: each arrow in Figure 11 show the direction of the next step after each step and sub-steps.
Information 17 00583 g011
Table 1. Summary of the scope of the research (targeted disciplines and subjects).
Table 1. Summary of the scope of the research (targeted disciplines and subjects).
FieldDisciplineResearch Area/Subject
Applied Science (AP)Education and Engineering (EE)Information and Communication Technology
Writing
Teaching and Learning
Linguistic
Computer Science
Automation
Machine Learning
Artificial Intelligence
Transportation & construction
Others (Mathematics, TLLM)
Medical Science (MS)Mental Health and Health Care (MH&HC)Mental Health
Health care
Pandemic & chronicle Diseases
Patient care (Nursing)
Other (Pharmacy, Radiography)
Social Science and Humanities (SS&H)Accounting, Finance, Economy and Management (AFEM)Supply Chain & Logistics
Information Technology
Digital Transformation
Corporate Performance
Product/HR management
E-commerce
Innovation
Sustainability
Other (ESG, Labor, Tourism)
Only peer-reviewed research articles and review articles were collected (Guideline and Practical studies)
Note: For comparability purposes, we grouped the collected papers into three categories described above.
Table 2. Summary of criteria selected for papers collection.
Table 2. Summary of criteria selected for papers collection.
Criteria for Papers Collection
Step 1
(1)
Open Access
(2)
Peer-reviewed
(3)
Research articles and Review articles
(4)
Related to “How to write a literature review”, regardless of the selected disciplines
(5)
All published in English
Step 2
(1)
Open Access
(2)
Peer-reviewed
(3)
Research articles and Review articles
(4)
Related to any of our selected disciplines (see step 3 of Figure 2 and Table 1)
(5)
About a Literature review or papers applying a new or old LR method on a topic linked to the selected disciplines
(6)
All published in English
Table 3. Summary of parameters, inclusion and exclusion criteria, and code for data collection, processing and semi-qualitative content analysis.
Table 3. Summary of parameters, inclusion and exclusion criteria, and code for data collection, processing and semi-qualitative content analysis.
Data Processing Parameters and Criteria
(Initial Sample Size n = 2405)
Content Analysis
CodeExtracted Items
Exclusion Criteria (P1)
All articles not related to the scope (Discipline and subject of interest) of the study were excluded (see Table 1).
(As)Authors
(PY)Publication Year
(TA)Type of Article
(D)Discipline
Collection Criteria
Peer-reviewed research article and review article from seven (7) databases (6 prestigious publishers and Google Scholar). All Open Access articles published in English (see Figure 1).
(J)Journal
(P)Publisher
TLRIType of Literature Review Identified
(M)Methodology
(SS) or (CA)Sample Size or Core Articles
(SU) Software used
Inclusion Criteria
Articles were included by matching at least three (3) of the following parameters:
(P1): Paper related to this study subject of interest is limited in Table 1.
(P2): Guideline paper related to the scope of the study and/or proposing a new framework.
(P3): Practical paper applying existing guideline (framework) or methodology
(P4): Mixed research combining both (P2) and (P3).
(P5): Paper containing at least one figure and one table (except those matching the topic of the present study).
(P5): Paper with a methodology section and a clear structure.
(P6): Paper listing and/or defining the different types of literature review (e.g., [2]).
(P7): Paper proposing a checklist, a step-by-step guideline, or a chronological framework on how to write a literature review article (e.g., [56]).
(P8): Chosen by the independent reviewer (Co-authors) and corresponding author (e.g., [26]).
(DB)Databases Used
(PG)Proposed Guideline or Framework
(R)Recommendation
(RG) Research Gaps
(L)Limitations
(A, B, C)Qualitative Score of the paper
(Y)Yes
(N)No
(T)Theory
(IC)Inclusion Criteria
(SP)Selected Paper
(RP)Reported Paper
(NPAE) Number of Paper After Duplicate
(NPAE)Number of Paper After Exclusion
(IP)Included Paper
(SA)Size of the Article
(P) Parameters
(O)Optional
(C)Compulsory
(Ob)(Objective)
(KF)Key Findings
(Final Sample Size n = 115)
Table 4. Change in sample size across all databases (descriptive analysis).
Table 4. Change in sample size across all databases (descriptive analysis).
Publishers (Databases)NPADNPAEIP (Niche)SPRP (Seed)RP (Fruit)
Elsevier9573542131439322
Emerald1576146301710
Google Scholar14913596876236
Nature Portfolio2384332
Springer Nature Link6283752141489427
Taylor & Francis2187446372711
Wiley191401415117
Total23231047633463307115
NPAD: Number of Papers After Duplicates; NPAE: Number of Papers After Exclusion; IP: Included Paper; SP: Selected Paper; RP: Reported Paper.
Table 5. Change in sample size across all discipline groups (descriptive analyses).
Table 5. Change in sample size across all discipline groups (descriptive analyses).
Discipline/(SS)NPADNPAEIP (Niche)SPRP (Seed)
AS (EE)106141429020973
MS (MH&HC)464301146110121
SS&H (AFEM)798332197144113
Total23231047633463307
AS (EE): Applied Science (Education & Engineering); MS (MH&HC): Medical Science (Mental Health & Health Care); SS&H (AFEM): Social Science & Humanities (Accounting, Finance, Economy and Management); (SS): sample size.
Table 6. Yearly change in sample size (descriptive analysis).
Table 6. Yearly change in sample size (descriptive analysis).
YearNPADNPAEIP (Niche)SPRP (Seed)
B19995010762
1999–200081201273
2001–20027112742
2003–2004861712116
2005–20061113317157
2007–20081103125147
2009–201011948292315
2011–201213242362719
2013–201417177433826
2015–201620078413222
2017–2018236114645035
2019–2020309156896249
2021–2022274164926945
2023–20243422181369261
2025 (March)312723138
Total23231047633463307
Note: B1999 articles are articles collected as supporting papers before applying screening during the search and collecting phase step.
Table 7. Change in sample size across research and literature review types (descriptive).
Table 7. Change in sample size across research and literature review types (descriptive).
Type of Research/Review ArticlesNPADNPAESPRP (Seed)
AI Related R/LR55342213
Bibliometric, Brief, Mini & Rapid R/LR5722156
Comparative R/LR6421
Comprehensive R/LR151044
Critical R/LR412884
How to, What, Why & Guideline R/LR530179166167
Integrative R/LR2728104
Literature Review (LR)3201824112
Mixed R/LR393604537
Narrative R/LR201894
Qualitative, Quantitative & Case study R/LR9020136
Scoping R/LR4252175
Systematic R/LR2232215216
Theoretical & Conceptual Framework R/LR3461173323
Other R/LR15872265
Total23231047463307
Note: R/LR is the code for research article or literature review article.
Table 8. Change in sample size across all four (4) types of literature review (descriptive analysis).
Table 8. Change in sample size across all four (4) types of literature review (descriptive analysis).
Type of R-LRIP (Niche)SPSP (Seed)
Conceptual Framework and Case Study R-LR644529
How to, What is, and Guideline R-LR257229167
LR21412272
Mixed R-LR986739
Total633463307
Table 9. Change in sample size across two (2) types of articles (descriptive analysis).
Table 9. Change in sample size across two (2) types of articles (descriptive analysis).
Types of ArticlesNPAEIP (Niche)
Short Articles17198
Long Articles876535
Total1047633
Note: Short articles include papers with fewer than five pages, and long articles papers with fewer than 64 pages. Most short articles do not have figures or tables.
Table 10. Categorical distribution of guideline article from RP (seed) sample size (Descriptive).
Table 10. Categorical distribution of guideline article from RP (seed) sample size (Descriptive).
Type of Literature ReviewBibliometric, Brief, Mini & Rapid R/LRComparative R/LRCritical R/LRHow to & GuidelineIntegrative R/LRLiterature Review (LR)Mixed R/LRNarrative R/LRCase Study R/LRScoping R/LRSystematic R/LRTheoretical & Conceptual R/LRTotal
RP (Seed)312134675926523167
Note: This sample size is a categorical description of “How to, what is, and Guideline” articles from RP (seed) sample size. See Table 7 RP (seed) column six (6).
Table 11. Summary of literature review and content analysis n = 115 (RP).
Table 11. Summary of literature review and content analysis n = 115 (RP).
Elsevier
Author(s), Pub Year, Type of Article. Sample Size, Journal.ObjectiveType of Lit Review IdentifiedMethodologyPaper Collection Database(s)Software UsedLit Review Guidelines ProposedKey FindingsSuggestions/RecommendationsResearch GapsLimitationsScore
[2]

(TA): Methodological Guidance/Research Article.

(SS): The demonstration extended a prior review of 142 papers to a final set of 224 papers.

(J): Journal of Informetrics
To develop a Systematic Iterative Multilayer Literature Review (SIMILAR) method that can simultaneously model the structure and evolution of a research field, using multilayer network theory.Proposes a new type of literature review method.Development and demonstration of the SIMILAR method, which consists of four steps: (1) Meta structure search, (2) Exploration of citation network, (3) Relevance examination, and (4) Classification. It uses multilayer network analysis.Google Scholar (for the demonstration).R (“igraph” package) and MuxViz.Yes, proposes the SIMILAR (Systematic Iterative Multilayer Literature Review) method.Existing literature review methods are either cross-sectional or longitudinal, but not both. SIMILAR allows for both by using multilayer networks. It also uses an iterative process to refine the classification of papers.Researchers can use the SIMILAR method to refine classification rules iteratively, integrate multilayer network theory, and conduct longitudinal and cross-sectional analyses at the same time.Current methods are unable to simultaneously model the structure and evolution of a research field. No existing methods integrate multilayer network theory into literature reviews.The study did not investigate how starting from a different initial review (meta structure) would affect the findings. The method assumes a pre-existing meta structure to start from.A+++
[64]

(M): Methodological Guidance/Framework.

(SS): 58 self-identified systematic reviews on LCT.

(J): Heliyon
To propose a framework (FLAVIA-LCT) for conducting systematic literature reviews (SLRs) in the Life Cycle Thinking (LCT) field to guide researchers in gathering, synthesizing, and reporting outcomes.Discusses systematic literature reviews (SLRs).The paper proposes a framework developed from the authors’ practical review experience, analysis of 58 existing LCT reviews, and influenced by guidelines like PRISMA and STARR-LCA.N/A (for framework development); mentions Scopus for identifying the scale of LCT literature.Mentions Excel, MAXQDA, NVivo for data management.Yes, proposes the FLAVIA-LCT framework (Framework for systematic Literature review to Analyze Vast Information in Life Cycle Thinking studies).Existing SLR guidelines (e.g., PRISMA) are not fully suitable for LCT studies. STARR-LCA for LCA studies has limitations. Many LCT reviews that claim to be systematic are not.The FLAVIA-LCT framework is presented as a five-stage process: (1) Research problem definition, (2) Search strategy design, (3) Sample preparation, (4) Data collection and analysis, (5) Result reporting.A specific framework for conducting SLRs in the broader LCT field (including LCC, S-LCA) is missing.The framework’s effectiveness has not been statistically evaluated due to data heterogeneity. Applying the framework requires a good understanding of LCT standards to avoid bias.A+++
Emerald A
Author(s), Pub Year, Type of Article, (SS) & (J)ObjectiveType of Lit Review IdentifiedMethodologyPaper Collection Database(s)Software UsedLit Review Guidelines ProposedKey FindingsSuggestions/RecommendationsResearch GapsLimitationsScore
Christopher S.G. Khoo et al., (2011)

(TA): Research paper.

(SS): 20 articles from JASIST for analysis, plus a test sample of 30 LRs from three journals for reliability testing.

(J): Online Information Review
To analyze the macro-level discourse structure of literature reviews and identify different writing styles, as part of a project to develop an automatic summarization system.Identifies and defines two distinct styles: “descriptive literature reviews” and “integrative literature reviews”.Content analysis of literature review sections from journal articles using a custom XML coding scheme. Inter-coder reliability was checked.JASIST, Journal of Documentation, and Online Information Review.Not mentioned, but an XML coding scheme was developed.Proposes an XML coding scheme for analyzing discourse structure, with elements like topic, study, meta-critique, meta-summary, method, result, and interpretation.Literature reviews are written in two styles: Descriptive reviews summarize individual studies with details on methods and results, have a simpler structure, and cite sequentially. Integrative reviews provide high-level critical summaries, have more reviewer commentary (meta-critique/summary), and a more complex structure.The proposed coding scheme is useful for studying literature reviews in other fields. A good literature review should balance descriptive and integrative elements.There are few empirical studies on how authors actually construct a literature review—how they select, organize, and present information.Most literature reviews exist on a continuum between the two poles of descriptive and integrative. The study is based on a limited number of journals.A+++
GoogleScholar
Author(s), Pub Year, Type of Article, (SS) & (J)ObjectiveType of Lit Review IdentifiedMethodologyPaper Collection Database(s)Software UsedLit Review Guidelines ProposedKey FindingsSuggestions/RecommendationsResearch GapsLimitationsScores
[42]

(TA): Research Article/Methodology Description.

(SS): 940 articles.

(J): Perspectives on Medical Education
To understand and articulate the paradigmatic roots of, and methods for, conducting State-of-the-art (SotA) reviews.State-of-the-art (SotA) review.Method: Reviewed 940 articles labeled as SotA reviews published 2014–2021. Inductively analyzed them to articulate philosophical foundations, process steps, and markers of rigor.PubMed. Also searched Scopus, Web of Science, and Google to find methods-related resources.Not mentioned.6-Step Approach for SotA reviews: 1. Determine initial research question. 2. Determine timeframe. 3. Finalize research question to reflect timeframe. 4. Develop search strategy. 5. Analyze literature. 6. Provide a reflexivity descriptionPurpose: A SotA review creates a three-part argument: This is where we are now, this is how we got here, and this is where we could go next221. Ontology: SotA reviews are grounded in relativism and subjectivism. Prevalence: 98% of articles labeled “SotA review” lacked citations for how to conduct one.Medical educators should explicitly use this form of knowledge synthesis to advance the field.The review should posit new directions for research by questioning the soundness of historical turning points and prior decisions.The methodology and methods of SotA reviews are poorly reported, making them appear to lack rigor.A+++
[56]

(TA): Guide/Research-Based Article.

(SS): 99 studies included.

(J): Journal of Planning Education and Research.
To provide guidance on how to conduct a systematic literature review by surveying publications on the methodology of literature reviews.Typology based on purpose: Describe (Narrative, Scoping, etc.), Test (Meta-analysis, Realist), Extend (Meta-ethnography, Thematic synthesis), and Critique (critical review).The authors conducted their own systematic review of the methodology literature, searching Google Scholar, Web of Science, and EBSCOhost.Recommends Google Scholar, Web of Science, EBSCOhost, and “gray literature”.Recommends reference managers (EndNote, RefWorks, Zotero) and qualitative analysis software (NVivo, ATLAS.ti)8 Steps: 1. Formulate problem. 2. Develop and validate protocol. 3. Search literature. 4. Screen for inclusion. 5. Assess quality. 6. Extract data. 7. Analyze and synthesize data. 8. Report findings.Literature reviews can be background for a study or a stand-alone piece. Reviews should be valid, reliable, and repeatable. The planning field lacks rigorous systematic reviews.Start with a research question381. Choose a review type suitable for the purpose382. Develop a review protocol before starting. Document all decisions to ensure the process is transparent and repeatable. Teamwork is encouraged.The review should identify gaps in the literature to explore and point out opportunities for future research.A common mistake is selecting too broad a research question381. Publication bias can result from omitting “gray literature”.A+++
[47]

(TA): Editorial.

(SS): N/A.

(TA): Human Resource Development Review (HRDR)
To refocus authors on what constitutes a good literature review by describing characteristics of rigorous reviews.Integrative, systematic, historical, conceptual, methodological, and rapid structured literature reviews (RSLR).N/A—Editorial.Notes the value of “snowballing” and reverse citation tracking over just database searches.N/AProposes the “Five C’s” of rigorous reviews (Concise, Clear, Critical, Convincing, Contributive)178 and the “Six Ws” for a method section (Who, When, Where, How, What, Why).Literature reviews are important for evidence-based decisions and identifying knowledge gaps. Submitted manuscripts frequently fail to clearly articulate review methods.Reviews should be guided by a specific question addressing a “gap”. Authors must clearly articulate their methods181 and develop a convincing argument that contributes to knowledge.N/A—Editorial. Notes that reviews identify knowledge gaps.N/AA+++
Springer Nature Link
Author(s), Pub Year, Type of Article, (SS) & (J)ObjectiveType of Lit Review IdentifiedMethodologyPaper Collection Database(s)Software UsedLit Review Guidelines ProposedKey FindingsSuggestions/RecommendationsResearch GapsLimitationsScore
Natan S. Rodrigues et al., (2024).

(TA): Literature Review.

(SS): 211 documents (2003 and 2022).

(J): International Journal on Digital Libraries.
To provide a literature review of Author Name Disambiguation (AND) using a consolidated meta-analytic approach, combining quantitative techniques and bibliometric aspects.The paper identifies itself as a literature review with a consolidated meta-analytic approach (TEMAC), contrasting it with a traditional systematic literature review.Followed the Theory of Consolidated Meta-analytic Approach (TEMAC), which combines bibliometric laws (e.g., Bradford’s, Prince’s) with co-citation and bibliographic coupling analysis.Web of Science (WoS) and Scopus.VOSviewer and BiblioTools.Proposes using the TEMAC approach, which integrates bibliometric analysis into the literature review process.The most common AND approaches involve author grouping and clustering methods. Computer Science is the leading field, and the USA, China, Germany, and Brazil are the most prolific countries in AND research.Future work could include more bibliographic databases and complement the meta-analytic approach with a formal systematic review.A meta-analytical review of AND had not been conducted before, creating a foundation for future research.The meta-analytic approach is exploratory and does not follow a strict protocol with specific research questions like an SLR100. The merging of databases was done via a custom script, as VOSviewer was limited to one at a time.A++
[45]

(TA): Methodological Tool Paper.

(SS): 24 manuscripts.

(J): Health Services and Outcomes Research Methodology.
To describe a step-by-step process for conducting a literature review using a qualitative analysis approach with NVivo software.Describes various types, including minor literature review, systematic quantitative review (meta-analysis), and qualitative literature review. The example is based on a scoping review.Describes a six-step process for using QDAS in a literature review, exemplified by a parent study that used a scoping review methodology and grounded theory for analysis.The parent study used PubMed, Cochrane, and CINAHL.NVivo is the central focus. MaxQDA and EndNote are also mentioned.Proposes a six-step process for conducting a literature review using qualitative data analysis software (QDAS).Using QDAS like NVivo can enhance the rigor, transparency, reproducibility, and analytical depth of a literature review compared to manual methods.Researchers can benefit from using QDAS to organize literature, identify themes, and visualize data, which can reveal subtle insights missed by manual methods.There is limited research exploring the use of QDAS programs for the analytical process of literature reviews. Textbooks often lack sufficient detail on how to conduct a high-quality review.The use of QDAS has limitations, including the cost of software and training, and a potential time investment for new users.A+++
Joan Marie Kraft et al., (2022).

(TA): Methodology paper.

(SS): 18 reviews (for umbrella review); 3 worked examples (for testing).

(J): International Journal for Equity in Health.
To develop the Social Accountability Reporting for Research (SAR4Research) checklist to improve documentation of SA interventions.Umbrella Review (of systematic and narrative reviews)Multi-step process: (1) an umbrella review of 18 reviews to find reporting gaps; (2) review of existing guidelines; (3) development of a checklist based on CONSORT-SPI; (4) testing with three worked examples.Pubmed, Google Scholar (for umbrella review)Not specified.Yes, proposes the SAR4Research reporting checklist.Existing SA studies have significant reporting gaps regarding context, intervention components, and study methods. No existing guideline adequately addressed these gaps for SA interventions.Authors should use the SAR4Research checklist to improve reporting, potentially across multiple papers or using Supplementary Materials.The lack of a specific reporting guideline for complex social accountability interventions.The umbrella review was not systematic. The worked examples were not representative of all SA interventions.A+++
[110] Guidelines. (SS): N/A. European Journal of Epidemiology.To provide a 24-step guide on how to perform a methodologically sound systematic review and meta-analysis in medical research.The paper provides a guide for conducting Systematic Reviews and Meta-Analyses.Not a research study; it presents a comprehensive guideline based on established methodologies and expert recommendations.Recommends searching at least Embase, MEDLINE, Web of Science, and Google Scholar.Recommends tools like EndNote, Covidence, and Rayyan for screening, and STATA, R, RevMan for meta-analysis.Proposes a 24-step guide for conducting and publishing a systematic review and meta-analysis, from defining the research question to final submission. Also advocates using PRISMA/MOOSE reporting standards.The quality of published systematic reviews is highly variable. A well-conducted review is a complex process requiring a coordinated team, a clear protocol, and rigorous methods.Researchers should establish a team with diverse expertise (including a librarian), register their protocol (e.g., in PROSPERO), and use tools like GRADE to assess evidence quality.Notes that most existing guidelines focus on reporting or appraising reviews rather than providing efficient guidance on how to conduct them.The paper itself does not state any limitations, as it is a set of guidelines.A+++
Christian Fisch, (2018).

(TA): Editorial.

(SS): N/A.

(J): Management Review Quarterly.
To outline six tips to help authors improve their (systematic) literature review in business and management research.The editorial discusses (systematic) literature reviews 388. It clarifies that their journal’s understanding of an SLR is one that follows a systematic, transparent, and reproducible process.Not a research paper; it is an editorial providing guidance and tips based on the authors’ experience as editors.N/A.N/A.Proposes six tips for writing a literature review: (1) Motivate the topic and state the research question, (2) Identify literature systematically, (3) Balance breadth and depth, (4) Focus on concepts, not studies, (5) Derive meaningful conclusions, (6) Follow a coherent structure.Many researchers seem unfamiliar with the process and structure of systematic literature reviews, often producing mere descriptive summaries. A high-quality literature review is not a trivial endeavor and requires in-depth understanding and experience.Authors should not just summarize literature but should synthesize and interpret knowledge, identify gaps, and outline future research avenues. A concept-centric approach is preferable to a study-centric one.A common problem is that reviews often become descriptive annotated bibliographies rather than analytical and synthetic works of scholarship.The editorial does not state its own limitations.A+++
Taylor & Francis
Author(s), Pub Year, Type of Article, (SS) & (J)ObjectiveType of Lit Review IdentifiedMethodologyPaper Collection Database(s)Software UsedLit Review Guidelines ProposedKey FindingsSuggestions/RecommendationsResearch GapsLimitationsScore
[64]

(TA): Research Article.

(SS): 125 bachelor’s theses, plus 9 supervisors & 7 student interviews and 25 feedback from other students.

(J): Studies in Higher Education.
To increase understanding of the narrative literature review process by applying process theory.Narrative and Systematic Literature Reviews 68. The article itself conducts a systematic review to define the steps of a literature review process.Builds on developmental process theory (specifically teleology process theory). Data includes group interviews and documentary analysis of bachelor’s theses.For its internal review, the study followed guidelines from established sources but does not list specific databases.Webropol.Proposes an iterative, non-structured, multi-layered process model for narrative reviews with four repeating steps (exploring, focusing, analyzing/synthesizing, writing) punctuated by written outcomes.The narrative literature review process is not linear like a systematic review; it is iterative, socially constructed, and involves continuous writing of cumulative reports… It aligns with teleology process theory.Supervisors and students should recognize the iterative and hermeneutic nature of the narrative review process. The role of cumulative written reports in marking progress should be emphasized.A justified explanation of how a narrative literature review process progresses is absent from the existing literature.The study focuses on bachelor’s students, so findings may not apply to more experienced researchers. The sample consisted of volunteers, and the authors’ role was embedded in the process.A+++
[51]

(TA): Descriptive literature review.

(SS): 142 LR published in top IS journals.

(J): European Journal of Information Systems.
To assess the extent to which IS review articles are transparent in reporting their methodologies.The study itself is a descriptive review. It classifies other reviews using taxonomies by Rowe (2014) and Paré et al. (2015), identifying types like narrative, descriptive, scoping, critical, meta-analysis, and theory development.Manual search of 8 top IS journals (2000–2014). Selected reviews were classified by type and coded against 22 reporting items using directed content analysis.Manual search of 8 specific journals (EJIS, ISJ, ISR, JAIS, JIT, JMIS, JSIS, MISQ).Not specified.Provides a list of 22 reporting items across 6 generic review steps that can be used as a framework for authors to improve transparency.The majority of IS reviews show inadequate reporting of methods. Theory development and narrative reviews are the most common and least transparent types.Authors of all review types should better document their design decisions. Journal editors could place methodological details in an appendix. Doctoral students need better training in conducting reviews.No prior formal assessment of review reporting practices exists in the IS field.The sample is limited to 8 journals and may not be representative of the entire IS field. The assessment is based on what was reported, not what was done.A+++
[38]

(TA): Conceptual/Methodological Article.

(SS): Not applicable.

(J): International Journal of Multiple Research Approaches.
To present an interactive meta-framework (ILRP) that can be used by advisors to facilitate the development of literature reviews by doctoral students.Mixed research synthesis/mixed methods literature review.The paper proposes a conceptual meta-framework, not an empirical study. The framework is built on Vygotsky’s theory of social development, Kuhlthau’s information search process model, and Onwuegbuzie et al.’s framework for debriefing.Not applicable.Mentions RefWorks, NVivo 8, QDA Miner 3.2, and Excel as potential tools for studentsProposes the Interactive Literature Review Process (ILRP), a nine-stage meta-framework: (1) Exploring belief systems, (2) Initiating the process, (3) Selecting a topic, (4) Exploring literature, (5) Formulating a focus, (6) Analyzing/interpreting/integrating, (7) Closing the search, (8) Writing, (9) Evaluating.Many dissertation literature reviews are poorly conceptualized and written, often due to inadequate instruction. The typical literature review process is a solitary event, whereas the proposed ILRP is interactive and cooperative.Advisors and professors should use a comprehensive approach like the ILRP to guide students. The ILRP can also be used by self-directed students for self-auditing, though interaction with a mentor is optimal.Research methods textbooks provide scant instruction on organizing the search process, focusing on a topic, or evaluating literature.Not applicable.A+++
Wiley
Author(s), Pub Year, Type of Article, (SS) & (J)ObjectiveType of Lit Review IdentifiedMethodologyPaper Collection Database(s)Software UsedLit Review Guidelines ProposedKey FindingsSuggestions/RecommendationsResearch GapsLimitationsScore
[98]

(TA): Original Article/Methodological Protocol.

(SS): N/A.

(J): International Journal of Consumer Studies.
To develop a rigorous and authoritative protocol, SPAR-4-SLR, to guide and justify decisions in systematic literature reviews.Systematic literature reviews (SLRs), including domain-based, theory-based, method-based, meta-analytical, and meta-systematic reviews.Based on the authors’ collective expertise and experience in authoring, editing, and reviewing literature reviews.Recommends Google Scholar, WOS, or Scopus.N/AProposes the SPAR-4-SLR (Scientific Procedures and Rationales for Systematic Literature Reviews) protocol, a 3-stage (Assembling, Arranging, Assessing) process with detailed rationales for each step.SLRs are increasingly valuable, but existing guidelines often lack sufficient rationale to justify review decisions. Provides criteria for when an SLR should be written (e.g., substantial body of work exists, no recent high-quality reviews).Researchers should use the proposed protocol for rigor and transparency, conduct reviews for the right reasons (to consolidate knowledge), and collaborate with methodological experts.Few authoritative protocols with clear rationales for SLR decisions exist.The protocol is newly proposed, and its effectiveness in practice is yet to be widely tested.A+++
Marco Pautasso. (2015)

(TA): Book Chapter/Guideline.

(SS): N/A.

(J): NA, Book Chapter in A Guide to the Scientific Career.
To provide a brief guideline on how to conduct a narrative literature review based on the author’s experience and 10 simple rules.Narrative, systematic, meta-analysis, mini-review, full review, descriptive, and integrative reviews.Based on the author’s experience with ~30 literature reviews, feedback from peers, and established principles.Recommends searching various databases; mentions Web of Science and Google Scholar.Mendeley, Papers, Qiqqa, Sente, Zotero.Proposes “Ten simple rules for writing a literature review,” covering team formation, topic definition, searching, note-taking, review type selection, structure, and dissemination.Literature reviews are increasingly necessary and can be as innovative as primary research. Different types of reviews are appropriate for different goals.Work in teams, define scope and exclusion criteria early, document the search process, take notes while reading, be critical, seek feedback, and disseminate the final work.A key aim of a literature review is to identify the most pressing research gaps in a field.The chapter focuses specifically on narrative literature reviews.A+++
Nature Portfolio
Author(s), Pub Year, Type of Article, (SS) & (J)ObjectiveType of Lit Review IdentifiedMethodologyPaper Collection Database(s)Software UsedLit Review Guidelines ProposedKey FindingsSuggestions/RecommendationsResearch GapsLimitationsScore
[57]

(TA): Perspective.

(SS): N/A.

(J): Nature Ecology & Evolution (inferred from DOI).
To identify major pitfalls in systematic reviews, offer methodological solutions, highlight existing support, and propose interventions to improve review quality.Systematic reviews, traditional literature reviews, meta-analyses, narrative synthesis, systematic maps.A critical review of current practices using recent examples from conservation and environmental science to highlight common problems.N/ASysRev, R.Proposes eight solutions to common review problems. Recommends following established standards like PRISMA and ROSES and guidance from bodies like CEE and Cochrane.Identifies eight major problems, including lack of stakeholder engagement, transparency, and appropriate synthesis; finds that many reviews, even those labeled ‘systematic’, are poorly conducted.Reviewers should use a priori protocols, engage stakeholders, use comprehensive and transparent search strategies, include grey literature, critically appraise studies, avoid vote-counting, and work in teams.The need for better training and support to ensure rigorous review standards are implemented.This is a perspective piece, not a systematic review quantifying the prevalence of the identified issues.A+++
Note: Appendix A and Table S1 show a continuation of this table. The full table was extracted from Table S2, the results of content analysis of the ample size RP (seed). See Supplementary File S2.
Table 12. Comparative overview of GARP 4LR, PRISMA 2020, and SPAR 4 SLR.
Table 12. Comparative overview of GARP 4LR, PRISMA 2020, and SPAR 4 SLR.
FeatureGARP-4LR (This Study)PRISMA 2020SPAR-4-SLR [61]
PurposeUniversal protocol for any literature reviewReporting guideline for systematic reviews/meta-analysesProcedural protocol for systematic literature reviews
Discipline focusMultidisciplinary (education, engineering, medicine, AFEM)Primarily health sciences; extensions for other fieldsBusiness, management, and consumer research
Structure4 phases (Plan, Implement, Publish, Share/Update)27-item checklist + PRISMA flow diagram3 stages (Assemble, Arrange, Assess)
Number of steps/actions24 steps (compulsory + optional)27 reporting items + 4-phase flow diagram14 actions within 6 sub-steps (based on 3 stages)
Core emphasisThree essential tasks: data collection, data processing, data reportingTransparent reporting of methods and results of systematic reviewsRigorous justification of review decisions, from problem formulation to reporting
FlexibilityHigh—applicable to all review types (narrative, scoping, systematic, etc.)Moderate—primarily for systematic reviews; adaptations needed for other typesHigh for systematic reviews; less guidance for non-systematic types
Registration/protocol requirementOptional; encourages a priori protocol, but not mandatoryRecommends protocol registration (e.g., PROSPERO)Recommends a pre-registered protocol
Meta-analysis integrationCan accommodate meta-analysis, but it is not mandatoryStrongly linked to meta-analysis where appropriateSupports meta-analysis; provides rationales
Publication phaseExplicit steps for journal targeting and post-submission diffusionNot included; assumes research is publishedImplicitly covered in the Assessing stage
Update & sharingDedicated optional phase for updating and disseminating the reviewNot specifically addressedNot specifically addressed
Unique ‘noise’ reductionFocuses on the “synthesis core” by eliminating non-essential procedural checkpointsComprehensive checklist may overwhelm newcomersHighly detailed rationales; process can be lengthy
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Nima Ngapey, J.D.; Zhu, N.; Pea-Assounga, J.B.B. How to Write a Relevant, Accurate and Sustainable Literature Review Using a Generally Accepted Research Protocol (GARP): A Multidisciplinary Mixed Research Method. Information 2026, 17, 583. https://doi.org/10.3390/info17060583

AMA Style

Nima Ngapey JD, Zhu N, Pea-Assounga JBB. How to Write a Relevant, Accurate and Sustainable Literature Review Using a Generally Accepted Research Protocol (GARP): A Multidisciplinary Mixed Research Method. Information. 2026; 17(6):583. https://doi.org/10.3390/info17060583

Chicago/Turabian Style

Nima Ngapey, Jonathan Dior, Naiping Zhu, and Jean Baptiste Bernard Pea-Assounga. 2026. "How to Write a Relevant, Accurate and Sustainable Literature Review Using a Generally Accepted Research Protocol (GARP): A Multidisciplinary Mixed Research Method" Information 17, no. 6: 583. https://doi.org/10.3390/info17060583

APA Style

Nima Ngapey, J. D., Zhu, N., & Pea-Assounga, J. B. B. (2026). How to Write a Relevant, Accurate and Sustainable Literature Review Using a Generally Accepted Research Protocol (GARP): A Multidisciplinary Mixed Research Method. Information, 17(6), 583. https://doi.org/10.3390/info17060583

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop