Do We Perform Systematic Literature Review Right? A Scientific Mapping and Methodological Assessment
Abstract
:1. Introduction
2. Research Method
3. Accumulation of Knowledge and Literature Review
3.1. The Philosophy of Research Synthesis
3.2. Literature Reviews and Typology
3.2.1. Literature Review Types
- Narrative Review: It is by far one of the most utilized and recognized approaches for conducting literature reviews. However, it is being referred to as a nonrigorous and inefficient—in terms of the invested time and resources—review type, which may potentially be impacted by the reviewer’s subjectivity [27,28], not to mention that the data extraction and information synthesis are accomplished without the compliance with any standard and systematic framework. Notably, some studies interchangeably use narrative review to refer to descriptive (with the purpose to describe) reviews [4,16].
- Textual Narrative Review: Compared to a narrative review, this type of the literature review incorporates a more standard approach to the data collection process by paying attention to different characteristics of each document, and it also benefits from the coding strategy to facilitate more systematic information synthesis [29,30].
- Meta-Summary: This type of review accommodates a quantitative element by calculating the frequency and intensity of “the effect size” through the categorization of findings, also denoted as vote counting [30]. The primary predecessor in this context, is the thematic grouping of the information derived from each piece of the included literature. Thereafter, the frequency of the effect size is calculated by dividing the number of documents associated with each theme by the total number of documents, which is expressed as percentage [31]. Accordingly, the intensity of the effect size aims to examine the reliability of calculations; for instance, to investigate which documents had the most contribution to the findings, which is determined by the division of the number of findings in a certain document by the total number of findings [31].
- Meta-Narrative: Inspired by the notion of normal science from Kuhn [18], Greenhalgh et al. [32] elaborated on a meta-narrative by paying attention to investigating the research traditions associated with the same problem. Among the six steps considered for this review, the “mapping” and the “synthesis” phases are of particular importance that distinguish this approach. The former mainly aims to identify the key elements of the research paradigm, i.e., conceptual, theoretical, methodological, etc., and to unveil the key actors and milestones pertaining to the tradition; the latter, on the other hand, articulates the core aspects of the problem and presents a “narrative account” of the contribution that each identified aspect has made to the research tradition [32].
- Scoping Review: A scoping review mainly puts forward a wide and inclusive image of the research domain, which in turn, necessitates a high degree of data extraction from relevant documents [33]. It is worthwhile to note that the comprehensiveness criterion is satisfied at the expense of the quality of utilized research documents [4]. Such an approach is beneficial for shedding light on the breadth of a concept, available evidence surrounding an issue, as well as potential research gaps [9,34].
- Meta-Analysis: This is a quantitative approach which was initiated by Glass [35], and it seeks to perform a statistical examination based on the data collected from the retrieved articles. A major form of this approach is the meta-regression which investigates the relationship between the dependent variables—a summary statistic derived from each article—and the independent variables—could be characteristics of the method or utilized data—associated with the collected empirical research items [36].
- Bayesian Meta-Analysis: It is a literature review type that incorporates qualitative studies into a meta-analysis procedure and aims at determining the significance of some factors—identified by experts—on an outcome [37,38,39]. As explained by Roberts et al. [39], the potential factors that impact the outcome are initially ranked by the judgment of experts, which are then revised according to the qualitative literature. While there is a prior probability pertinent to each factor based on the score received from different experts, they are then merged with the quantitative evidence—coded data derived from the quantitative literature—to generate a posterior probability.
- Realist Review: A useful instrument to assess the exerted policies, and it seeks to find the best compromise between “what works for whom, under what circumstances/conditions, and how” [9]. According to the testing nature of this approach, various conditional sentences form the grounds for this analysis, such as “if A, then B, or in the case of C, D is unlikely to work” [40].
- Ecological Triangulation: It seeks to “determine what evidence across cases (articles) do theory, method, and the analysis of persons and conditions support interventions with positive results” [41]. Thus, it is similar to the realist review, and the data extraction utilizes similar questions which are then presented and organized in the form of a matrix consisting of different attributes, for example, one axis representing the study participants while the other marking the different contextual attributes [9].
- Meta-Ethnography: This type of literature review has evolved from a technique of qualitative research synthesis, which in turn, shapes the grounds for further review types associated with the review purpose of extend [9,42]. As proposed by Noblit and Hare [43], meta-ethnography is approached by revealing the relationship between the concepts that are derived from each study. In particular, the studies are translated to one another; a process that is recognized as “unique syntheses, because they protect the particular, respect holism, and enable comparison. An adequate translation maintains the central metaphors and/or concepts of each account in their relation to other key metaphors or concepts in that account” [43].
- Thematic Synthesis: In this review type, similarly to the meta-ethnography, the data extraction and information synthesis are conducted thematically based on a principle, where the analytical themes are derived from clustered information [44]. In order to satisfy the extension aim, Thomas and Harden [44] referred to this synthesis process as “It may be, therefore, that analytical themes are more appropriate when a specific review question is being addressed (as often occurs when informing policy and practice), and third-order constructs should be used when a body of literature is being explored in and of itself, with broader, or emergent, review questions”.
- Meta-Interpretation: Rather than a research question, this literature review type deals with a research area to access a wide range of studies and discovers a range of contrasting studies [9,45]. Therefore, more literature searches will be conducted until the authors observe the “theoretical saturation” pertinent to the subject [45].
- Meta-Study: This novel approach, as presented, operationalized, and elaborated on by Paterson et al. [46] and Zhao [47], is a composition of three methods: a metadata analysis, a meta-method, and a meta-theory. Similarly to the meta-ethnography, a metadata analysis seeks to analyze a wide range of studies, however, from a quantitative approach and by studying the results of the data analysis research works [47]. While a data analysis processes “raw data”, a metadata analysis incorporates the “processed data” into the investigation which is denoted as “the analysis of analyses” [35,47]. The major focus of the meta-method is directed towards the methodological approach that was selected by the authors of the collected research articles to establish a connection between the outcomes, ideology, and methods [46]. Beyond the aims of earlier approaches, a meta-theory is an established philosophical approach that investigates the theoretical assumptions, the underpinning paradigms, and the quality of the theories considered in each study [42,46,47]. The composition of the outlined approach within the framework of a meta-study is not bounded to a standard structure, and it is rather dynamic and iterative [42].
- Critical Interpretive Synthesis: This literature review type, by adding critical attribute to the meta-ethnography, incorporates extensively a broad range of studies without any particular “quality appraisal” to investigate any potential impact of the research traditions on the evidence and outcomes presented in the studies [48]. Given the qualitative inherence of this approach, it is iterative and exploratory rather than being confined to a standard procedure [48].
- Framework Synthesis: The term “framework” is emanated from the coding structure of this literature review type which is articulated based on the devised research question and prior to commencing the review process [49,50]. Thus, through the investigation of the literature, the developed conceptual structure/codes would be further modified and extended to generate the ultimate list of factors [50]. Even though this approach is suggested for qualitative research, it is argued by scholars that it should be applied to other literature types as well [9].
3.2.2. A Rigorous Literature Review
- Internal Validity: It seeks to ensure that the established procedure for accomplishing the literature review perfectly complies with the concern of the study, and precisely addresses the devised research question(s) [57]. This could be reflected and measured by the decisions regarding searched sources, considered keywords for the search process, qualifications for appraisal of the collected documents, temporal interval of the retrieved articles, and so forth.
- Objectivity: This criterion emphasizes the elimination of individuals’ subjectivity throughout the review process, particularly concerning the drawn conclusions. Although this is a reflection of an unbiased literature review, objectivity solely stresses ascertaining that the ultimate results and findings are derived from the collected data and information, and not emanated from the author’s imagination [56]. This is mainly achieved by consistent compliance with a well-established review protocol throughout the review process [16].
- External Validity: This criterion underlines the generalizability of the results in accordance with the investigated domain or theory [16]. The immediate implication of this measure is reflected in the review type with the purpose “extend” the research where the main goal is set to push the conceptual frontiers of the investigated theory or topic; however, this is not the sole target, and other review types are expected to satisfy this metric by inclusive coverage of the previous research works. In this context, a major prerequisite consideration is paying attention to the choices of sources for the literature search as well as the search strategy [58].
- Reproducibility: A literature review without explicit, traceable, and repeatable reported procedures lacks methodological quality. This is simply fulfilled by articulating and documenting the entire process of the literature review, including but not limited to, devising the research question, search strategy, data collection, and information synthesis, so that it is replicable while generating the same results [59,60].
4. Conducting a Systematic Literature Review
4.1. Employing the SLR Framework in a Literature Review
4.1.1. Problem Formulation
4.1.2. Developing the Review Protocol
4.1.3. Literature Search
- Phrase Searching: In order to best exploit the potential of online search engines, one ought to pay attention to the underlying differences of searching a single word or a collocation of words. In order to find the exact matches, phrasal keywords must be placed between two double quotation marks (“), which form a binding constraint so that the search results comply with the order of words constituting that phrase. “agile supply chain”, “industry 4.0”, “public infrastructure”, just to name a few, are instances that necessitates considering double quotations. It is worthwhile to note that small and capital letters would have an equal impact, and punctuation marks, e.g., hyphen, slash, space, etc., are treated similarly by the search engines.
- Truncation: From the linguistic standpoint, terms may take various forms. In most cases, this causes changes to their ending part, including variations related to singular or plural, noun or adjective, and so forth. In this regard, the possible variants of the primary keywords are specified by replacing the ending altering section of the word with an asterisk (*) symbol. For instance, the asterisk symbol in “financ*” takes the forms of either “e” or “ial” in order to refer to “finance” or “financial”, respectively.
- Boolean Operators: This technique is particularly helpful in combining the primary keywords and their variations in the most meaningful and operational manner. The use of Boolean operators (AND, OR, AND NOT) enables the researchers to narrow down the search list effectively associated with the topics of research questions. The basic rule suggests combining distinct topics with “AND” in order to access the correct research items and extend the population of documents by using “OR” to incorporate the conceptually equal terms or the synonyms of the keywords within each subtopic.
4.1.4. Quality Appraisal
4.1.5. Data Extraction
4.1.6. Data and Information Synthesis
4.1.7. Review Report
- The review protocol should be explained thoroughly, including any revision that was applied during the SLR process.
- The exact date of the literature search must be reported in the review due to the continuous update of the online databases. The same search string would result differently if used at a later time within the same online database.
- The rationale of the selected inclusion/exclusion criteria in the coarse sieve stage must be scientifically justified and individually explained [79], not to mention the importance of reporting and explaining the reasons for the filters applied within the database during the literature search, e.g., the publication year, document type, subject area, etc.
- The fine sieve stage embraces more descriptive criteria in order to eliminate the articles that do not address the devised research question(s). Thus, the author(s) are supposed to provide sufficient explanations regarding the selected measures.
- The “literature selection” commences with collecting a wide range of articles, and numerous research items are eliminated in this phase. It is of significance to keep a precise track of the records at each step, i.e., the literature search and quality appraisal. To that aim, it is recommended not only to document the statistics in the review report but, more importantly, to take advantage of the visualization aids and flow diagrams to illustrate the entire phase with a concise numerical and descriptive outlook. In this context, the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) were developed by Moher et al. [80] in 2009 to provide the research community with a checklist for conducting systematic reviews, denoted as the PRISMA statement, and a platform to illustrate the literature selection phase as outlined above, denoted as the PRISMA flow diagram. These tools were updated in 2020 [81], and scholars can freely access them at http://www.prisma-statement.org (accessed on 17 August 2023).
- It should be indicated in the “title” of a journal article that the literature review study is based on the SLR framework [8].
4.2. Science Mapping and Bibliometric Analysis
Bibliometric Analysis: Typology and Procedure
- Problem Formulation. The main agenda of this step consists of identifying the main objective of the study and research questions. The research questions should be precise to best reflect the concern of the study. Ramos-Rodríguez and Ruíz-Navarro [97] suggested that the scope of the study—which is specified by the research questions—should be wide enough to ensure access to a large volume of the bibliographic metadata. As a rule of thumb, Donthu et al. [95] suggested reformulating the study scope in the case of retrieving fewer than 300–500 research items.
- Review Protocol. The mission of this step is to illustrate the entire procedure of the review, and in the context of a bibliometric analysis, it embraces two vital decisions: the bibliometric methods (or techniques) and software.As emphasized by Zupic and Čater [99], bibliometric methods are individually suitable to address distinct types of research questions. For instance, “investigating the intellectual structure of emerging literature” is answered by the bibliographic coupling, while “investigating the intellectual structure of literature X” is answered by the co-citation analysis. In this regard, Donthu et al. [95] argued that a bibliometric analysis intends to highlight three temporal aspects of a research field: past, present, and future. In this regard, they suggested considering, among other things, the co-citation analysis, the bibliographic coupling, and the co-word analysis. Hence, it is critical to identify the research questions and bibliometric methods accordingly.Another determining element in this type of literature review is the utilized software. The development of tools has been among the major drivers of the increased number of review studies employing a bibliometric analysis [95]. In a thorough study, Cobo et al. [101] compared nine eminent tools with versatile and distinct capabilities, including BibExcel [102], CiteSpace II [103,104], and VOSviewer [105]. The results of their study indicate that there is no “single solution” in the choice of the software, and the bibliometric analysis tools differ in the visualization, mathematical computation, and processing of raw data. Thus, the authors suggested choosing a combination of tools to best serve the research community with an all-inclusive bibliometric analysis; otherwise, the choice of the software must meet the aims and scope of the study. In a recent study, Pessin et al. [106] introduced the term “smart bibliometrics” which attempts to facilitate a more dynamic and intelligent platform, and ultimately to “automize the entire process of bibliometric analysis”. This tool is provided in the Microsoft Power BI software, and the free version of it is accessible via the following link: https://bit.ly/3GgYUZh (accessed on 17 August 2023).
- Literature Search. This stage is equivalent to the data collection and seeks to extract relevant and sufficient data. The entire process in the context of a bibliometric analysis is relatively identical to employing the SLR framework in other literature review types, including the identification and combination of keywords, the application of appropriate filters, and the choice of the database (see Section 4.1.3). However, according to the key role of the bibliographic metadata in this review type and the lack of data consistency, the authors must pay attention to some technical considerations. For example, the name of a journal could be cited in slightly different forms; in the case of using initials, the name of two distinct authors with similar last names and different first names—provided that the initials of their first names are the same—would appear the same. Thus, it is essential to refine the raw data before the analysis [99]. In addition, when using multiple databases, there is a high probability of having duplicate records in the dataset which should be converted into single records [95].
- Data Synthesis and Report Preparation. The interpretation of the outputs pertaining to the quantitative examinations, i.e., the bibliographic coupling, the co-citation analysis, the co-word analysis, etc., demands the highest level of effort required to deliver a rigorous bibliometric analysis. In this regard, authors with a higher seniority level are potentially better equipped with the necessary background knowledge and the level of expertise to process the particular linkages and derive fruitful inferences. However, it is of significance to utilize the knowledge for further discoveries, rather than considering it as a package of “preconceptions” [99]. In addition, the authors should make use of different sorts of visualizations, tables, and so forth, in order to not only demonstrate the results in comprehendible and transparent forms but also to support the interpretations with visual aids [95]. Last but not least, we put emphasis on producing a thorough and transparent report that not only presents in-depth interpretations and assessments but also satisfies the elements of explicitness, comprehensiveness, and reproducibility. In the context of the bibliometric analysis, descriptive assessments must be accompanied by proper visualizations. Mentioning the “bibliometric analysis” or “science mapping” in the title of the article, specifying the date of data collection, explicit and meticulous explanation of the review protocol, or equivalently, the entire procedure for the bibliometric analysis, are some of the most important agenda items that demand the attention of the authors during the preparation of the report.
5. Further Discussions and Overview of the Logistics
5.1. Literature Search and Quality Appraisal
5.2. The Results of the Compliance Test
- The exact date of the literature search process is reported only in two studies. Although some of the review papers reported the rough date, e.g., late December, it is recommended to document the exact date of the literature search.
- The number of retrieved items is not explicitly reported in all studies in accordance with each filter or each inclusion/exclusion criterion. To that end, we suggest that the authors take advantage of comprehensive standard flowcharts—such as Figure 3—not only to better illustrate the entire document retrieval process but also to elaborate on the numerical impact of the applied filters and inclusion/exclusion criteria.
- The rationale for the applied filters in the literature search and the inclusion/exclusion criteria pertaining to the quality appraisal demand more elaboration. This concern should be addressed precisely by the authors to ensure the reliability and validity of such filters and criteria. For instance, the publication year associated with the literature search requires theoretical justification. Furthermore, and as a means of inclusion/exclusion criteria, some authors explained the elimination of papers by the fact that they were “not within the scope of the review”. However, this rationale is not technically sufficient and demands more elaboration. The lack of methodological rigor, the lack of empirical evidence, and weak contribution to the topic of interest, are only a few examples that could help the authors in articulating the inclusion/exclusion criteria.
- Some papers are published with limited access. Thus, the number of documents that are not retrieved must be reported and disregarded for further analysis. In this regard, it is recommended not to rely on reading the abstract of such papers instead of the full text.
- It is observed that some of the collected papers suffer from insufficient and vague explanations associated with the quality appraisal step. Although the assessment of a retrieved research document in a review study would differ according to the context of the study, the authors are supposed to pay attention to some of the general rules and document them explicitly in the review report; for instance, the basis of the scanning process in the coarse sieve stage with regard to the different sections of a paper demands clarification, e.g., methodology, utilized data, conclusion, abstract. In this context, we observed that in some papers, the fine sieve stage (the second screening) is performed by reading only the introduction and conclusion sections instead of the full text. Hence, the authors of the literature review papers are encouraged to report the quality appraisal phase with a high degree of detail and transparency.
- Suggesting a future research agenda is among the primary contributions of a literature review study and it should be accomplished with a high level of articulation, particularly compared to an empirical and evidence-based research. This dimension, however, has not received adequate attention in some of the analyzed studies. It is noteworthy to remind of the potential of research synthesis of expanding the cognitive boundaries of a scientific field, and we encourage the authors to invest time in elaborating on the future research agenda.
- Although the majority of papers referred to a review protocol for conducting their study using the SLR, they suffered from a weak link between the structure of the report and the outlined steps. In fact, it is deemed necessary to optimize the study report by elevating the contextual communication between the SLR steps and the organization of the paper. Thus, it is recommended to not only employ a thorough and explicit review protocol but also to adhere to it in preparing the manuscript and reporting the results of each SLR step.
6. Conclusions
- Research Question 1: We initially gave critical accounts of the conceptual perception of the SLR and emphasized its application as a procedural tool, not as a literature review type. This step was followed by illuminating the connection between the major elements of a rigorous literature review and an SLR, and we conducted a narrative review to establish a standardized guideline for adopting the SLR in the realm of engineering and management.
- Research Question 2: We outlined the critical steps of an SLR which are not substantially affected by the review type and established an assessment protocol to evaluate the methodological approach of the literature review studies that employed the SLR and were published in the Logistics journal. The processes of this assessment, i.e., literature search, document retrieval, quality appraisal, etc., were accomplished by taking advantage of the SLR guidelines which were recommended in response to the first research question.
- Reporting the exact date of the literature search.
- Articulating the rationale for the search filters and inclusion/exclusion criteria.
- Explicitness in documenting the review protocol in the review report.
- Consistency between the paper structure and the review protocol and procedure.
- Adequate methodological transparency with respect to the quality appraisal.
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
- Chen, C. The Structure and Dynamics of Scientific Knowledge. In Mapping Scientific Frontiers: The Quest for Knowledge Visualization, 2nd ed.; Springer: London, UK, 2003; pp. 163–199. [Google Scholar]
- Merton, R.K. On The Shoulders of Giants: A Shandean Postscript; The Free Press: Washington, DC, USA, 1965; p. 290. [Google Scholar]
- Keith, B.; Vitasek, K.; Manrodt, K.; Kling, J. Strategic Sourcing in The New Economy: Harnessing the Potential of Sourcing Business Models for Modern Procurement, 1st ed.; Palgrave Macmillan: New York, NY, USA, 2016. [Google Scholar]
- 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]
- Hunter, J.E.; Schmidt, F.L.; Jackson, G.B. Meta-Analysis: Cumulating Research Findings Across Studies, 1st ed.; SAGE Publications: London, UK, 1982; p. 175. [Google Scholar]
- Chalmers, I.; Hedges, L.V.; Cooper, H. A Brief History of Research Synthesis. Eval. Health Prof. 2002, 25, 12–37. [Google Scholar] [CrossRef] [PubMed]
- Okoli, C.; Schabram, K. A Guide to Conducting a Systematic Literature Review of Information Systems Research. Sprouts Work. Pap. Inf. Syst. 2010, 10, 879–910. [Google Scholar] [CrossRef]
- Kitchenham, B.; Charters, S. Guidelines for Performing Systematic Literature Reviews in Software Engineering; Keele University: Newcastle, UK; Durham University: Durham, UK, 2007. [Google Scholar]
- Xiao, Y.; Watson, M. Guidance on Conducting a Systematic Literature Review. J. Plan. Educ. Res. 2019, 39, 93–112. [Google Scholar] [CrossRef]
- Rousseau, D.M.; Manning, J.; Denyer, D. Evidence in Management and Organizational Science: Assembling the Field’s Full Weight of Scientific Knowledge Through Syntheses. Acad. Manag. Ann. 2008, 2, 475–515. [Google Scholar] [CrossRef]
- Antman, E.M.; Lau, J.; Kupelnick, B.; Mosteller, F.; Chalmers, T.C. A Comparison of Results of Meta-Analyses of Randomized Control Trials and Recommendations of Clinical Experts: Treatments for Myocardial Infarction. JAMA 1992, 268, 240–248. [Google Scholar] [CrossRef]
- Oxman, A.D.; Guyatt, G.H. The Science of Reviewing Research. Ann. N. Y. Acad. Sci. 1993, 703, 125–134. [Google Scholar] [CrossRef]
- Shaikh, W.; Vayda, E.; Feldman, W. A Systematic Review of The Literature on Evaluative Studies of Tonsillectomy and Adenoidectomy. Pediatrics 1976, 57, 401–407. [Google Scholar] [CrossRef]
- Tricco, A.C.; Tetzlaff, J.; Moher, D. The Art and Science of Knowledge Synthesis. J. Clin. Epidemiol. 2011, 64, 11–20. [Google Scholar] [CrossRef]
- Oxman, A.D. Systematic Reviews: Checklists for Review Articles. BMJ 1994, 309, 648–651. [Google Scholar] [CrossRef]
- Templier, M.; Paré, G. A Framework for Guiding and Evaluating Literature Reviews. Commun. Assoc. Inf. Syst. 2015, 37, 112–137. [Google Scholar] [CrossRef]
- Cooper, H.M. Organizing Knowledge Syntheses: A Taxonomy of Literature Reviews. Knowl. Soc. 1988, 1, 104–126. [Google Scholar] [CrossRef]
- Kuhn, T.S. The Structure of Scientific Revolutions, Enlarged 2nd ed.; Neurath, O., Carnap, R., Morrid, C., Eds.; University of Chicago Press: Chicago, IL, USA, 1970; p. 210. [Google Scholar]
- Small, H. ASIS Award of Merit: On The Shoulders of Giants. Bull. Am. Soc. Inf. Sci. 1999, 25, 23–25. [Google Scholar] [CrossRef]
- Garfield, E. ISI’s “New” Index to Scientific Reviews (ISR): Applying Research Front Specialty Searching to the Retrieval of the Review Literature. Curr. Contents 1982, 5, 5–12. [Google Scholar]
- Rowe, F. What Literature Review is Not: Diversity, Boundaries and Recommendations. Eur. J. Inf. Syst. 2014, 23, 241–255. [Google Scholar] [CrossRef]
- 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]
- Hüttner, J. The Genre(s) of Student Writing: Developing Writing Models. Int. J. Appl. Linguist. 2008, 18, 146–165. [Google Scholar] [CrossRef]
- Maxwell, J.A. Literature Reviews of, and for, Educational Research: A Commentary on Boote and Beile’s “Scholars Before Researchers”. Educ. Res. 2006, 35, 28–31. [Google Scholar] [CrossRef]
- Rempel, H.G.; Davidson, J.R. Providing Information Literacy Instruction to Graduate Students through Literature Review Workshops. Issues Sci. Technol. Librariansh 2008. [Google Scholar] [CrossRef]
- Hart, C. Doing a Literature Review: Releasing the Social Science Research Imagination; SAGE Publications: London, UK, 1998; p. 230. [Google Scholar]
- Kastner, M.; Tricco, A.C.; Soobiah, C.; Lillie, E.; Perrier, L.; Horsley, T.; Welch, V.; Cogo, E.; Antony, J.; Straus, S.E. What Is the Most Appropriate Knowledge Synthesis Method to Conduct a Review? Protocol for a Scoping Review. BMC Med. Res. Methodol. 2012, 12, 114. [Google Scholar] [CrossRef]
- Noordzij, M.; Zoccali, C.; Dekker, F.W.; Jager, K.J. Adding Up the Evidence: Systematic Reviews and Meta-Analyses. Nephron Clin. Pract. 2011, 119, c310–c316. [Google Scholar] [CrossRef] [PubMed]
- Lucas, P.J.; Baird, J.; Arai, L.; Law, C.; Roberts, H.M. Worked Examples of Alternative Methods for the Synthesis of Qualitative and Quantitative Research in Systematic Reviews. BMC Med. Res. Methodol. 2007, 7, 4. [Google Scholar] [CrossRef] [PubMed]
- Popay, J.; Roberts, H.; Sowden, A.; Petticrew, M.; Arai, L.; Rodgers, M.; Britten, N.; Roen, K.; Duffy, S. Guidance on the Conduct of Narrative Synthesis in Systematic Reviews; Lancaster University: Lancaster, UK, 2006; p. 92. [Google Scholar]
- Sandelowski, M.; Barroso, J.; Voils, C.I. Using Qualitative Metasummary to Synthesize Qualitative and Quantitative Descriptive Findings. Res. Nurs. Health 2007, 30, 99–111. [Google Scholar] [CrossRef]
- Greenhalgh, T.; Robert, G.; Macfarlane, F.; Bate, P.; Kyriakidou, O.; Peacock, R. Storylines of Research in Diffusion of Innovation: A Meta-Narrative Approach to Systematic Review. Soc. Sci. Med. 2005, 61, 417–430. [Google Scholar] [CrossRef] [PubMed]
- Arksey, H.; O’Malley, L. Scoping Studies: Towards a Methodological Framework. Int. J. Soc. Res. Methodol. 2005, 8, 19–32. [Google Scholar] [CrossRef]
- Booth, A.; Sutton, A.; Clowes, M.; Martyn-St James, M. Systematic Approaches to a Successful Literature Review, 3rd ed.; SAGE Publications: London, UK, 2022. [Google Scholar]
- Glass, G.V. Primary, Secondary, and Meta-Analysis of Research. Educ. Res. 1976, 5, 3–8. [Google Scholar] [CrossRef]
- Stanley, T.D. Wheat from Chaff: Meta-Analysis as Quantitative Literature Review. J. Econ. Perspect. 2001, 15, 131–150. [Google Scholar] [CrossRef]
- Spiegelhalter, D.J.; Myles, J.P.; Jones, D.R.; Abrams, K.R. An Introduction to Bayesian Methods in Health Technology Assessment. BMJ 1999, 319, 508–512. [Google Scholar] [CrossRef]
- Sutton, A.J.; Abrams, K.R. Bayesian Methods in Meta-Analysis and Evidence Synthesis. Stat. Methods Med. Res. 2001, 10, 277–303. [Google Scholar] [CrossRef]
- Roberts, K.A.; Dixon-Woods, M.; Fitzpatrick, R.; Abrams, K.R.; Jones, D.R. Factors Affecting Uptake of Childhood Immunisation: A Bayesian Synthesis of Qualitative and Quantitative Evidence. Lancet 2002, 360, 1596–1599. [Google Scholar] [CrossRef]
- Pawson, R.; Greenhalgh, T.; Harvey, G.; Walshe, K. Realist Review–A New Method of Systematic Review Designed for Complex Policy Interventions. J. Health Serv. Res. Policy 2005, 10, 21–34. [Google Scholar] [CrossRef]
- Banning, J.H. Ecological Triangulation: An Approach for Qualitative Meta-Synthesis. In What Works for Youth with Disabilities Project: U.S. Department of Education; Wiley and Sons: Hoboken, NJ, USA, 2003. [Google Scholar]
- Barnett-Page, E.; Thomas, J. Methods for the Synthesis of Qualitative Research: A Critical Review. BMC Med. Res. Methodol. 2009, 9, 59. [Google Scholar] [CrossRef]
- Noblit, G.W.; Hare, R.D. Meta-Ethnography: Synthesizing Qualitative Studies; SAGE Publications: Thousand Oaks, CA, USA, 1988. [Google Scholar]
- 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]
- Weed, M. “Meta Interpretation”: A Method for the Interpretive Synthesis of Qualitative Research. Forum Qual. Sozialforschung (FQS)/Forum: Qual. Soc. Res. 2005, 6, 21. [Google Scholar] [CrossRef]
- Paterson, B.L.; Thorne, S.E.; Canam, C.; Jillings, C. Meta-Study of Qualitative Health Research: A Practical Guide to Meta-Analysis and Meta-Synthesis; SAGE Publications: Thousand Oaks, CA, USA, 2001. [Google Scholar]
- Zhao, S. Metatheory, Metamethod, Meta-Data-Analysis: What, Why, and How? Sociol. Perspect. 1991, 34, 377–390. [Google Scholar] [CrossRef]
- Dixon-Woods, M.; Cavers, D.; Agarwal, S.; Annandale, E.; Arthur, A.; Harvey, J.; Hsu, R.; Katbamna, S.; Olsen, R.; Smith, L. Conducting a Critical Interpretive Synthesis of the Literature on Access to Healthcare by Vulnerable Groups. BMC Med. Res. Methodol. 2006, 6, 35. [Google Scholar] [CrossRef]
- Carroll, C.; Booth, A.; Leaviss, J.; Rick, J. “Best Fit” Framework Synthesis: Refining the Method. BMC Med. Res. Methodol. 2013, 13, 37. [Google Scholar] [CrossRef]
- Dixon-Woods, M. Using Framework-Based Synthesis for Conducting Reviews of Qualitative Studies. BMC Med. 2011, 9, 39. [Google Scholar] [CrossRef]
- Rumrill, P.D.; Fitzgerald, S.M.; Merchant, W.R. Using Scoping Literature Reviews as a Means of Understanding and Interpreting Existing Literature. Work 2010, 35, 399–404. [Google Scholar] [CrossRef] [PubMed]
- Higgins, J.P.; Green, S. (Eds.) Cochrane Handbook for Systematic Reviews of Interventions; Wiley-Blackwell: London, UK, 2008. [Google Scholar]
- Ogawa, R.T.; Malen, B. Towards Rigor in Reviews of Multivocal Literatures: Applying the Exploratory Case Study Method. Rev. Educ. Res. 1991, 61, 265–286. [Google Scholar] [CrossRef]
- Davies, D.; Dodd, J. Qualitative Research and the Question of Rigor. Qual. Health Res. 2002, 12, 279–289. [Google Scholar] [CrossRef] [PubMed]
- Morse, J.M.; Barrett, M.; Mayan, M.; Olson, K.; Spiers, J. Verification Strategies for Establishing Reliability and Validity in Qualitative Research. Int. J. Qual. Methods 2002, 1, 13–22. [Google Scholar] [CrossRef]
- Tobin, G.A.; Begley, C.M. Methodological Rigour within a Qualitative Framework. J. Adv. Nurs. 2004, 48, 388–396. [Google Scholar] [CrossRef] [PubMed]
- Hammersley, M. Some Notes on the Terms “Validity” and “Reliability”. Br. Educ. Res. J. 1987, 13, 73–82. [Google Scholar] [CrossRef]
- Cooper, H.M. Scientific Guidelines for Conducting Integrative Research Reviews. Rev. Educ. Res. 1982, 52, 291–302. [Google Scholar] [CrossRef]
- Beck, C.T.; Keddy, B.A.; Cohen, M.Z. Reliability and Validity Issues in Phenomenological Research. West. J. Nurs. Res. 1994, 16, 254–267. [Google Scholar] [CrossRef]
- Coryn, C.L. The Holy Trinity of Methodological Rigor: A Skeptical View. J. Multidiscip. Eval. 2007, 4, 26–31. [Google Scholar] [CrossRef]
- Fink, A. Conducting Research Literature Reviews: From the Internet to Paper, 2nd ed.; SAGE Publications: Thousands Oaks, CA, USA, 2005. [Google Scholar]
- Petticrew, M.; Roberts, H. Systematic Reviews in the Social Sciences: A Practical Guide; Blackwell Publishing: Cornwall, UK, 2006; p. 354. [Google Scholar]
- Gusenbauer, M.; Haddaway, N.R. Which Academic Search Systems Are Suitable for Systematic Reviews or Meta-Analyses? Evaluating Retrieval Qualities of Google Scholar, PubMed, and 26 Other Resources. Res. Synth. Methods 2020, 11, 181–217. [Google Scholar] [CrossRef]
- Falagas, M.E.; Pitsouni, E.I.; Malietzis, G.A.; Pappas, G. Comparison of PubMed, Scopus, Web of Science, and Google Scholar: Strengths and Weaknesses. FASEB J. 2008, 22, 338–342. [Google Scholar] [CrossRef]
- Jackson, G.B. Methods for Integrative Reviews. Rev. Educ. Res. 1980, 50, 438–460. [Google Scholar] [CrossRef]
- National Health and Medical Research Council of Australia. How to Review the Evidence: Systematic Identification and Review of the Scientific Literature; Biotext: Cornwall, Australia, 2000; p. 115. [Google Scholar]
- Brereton, P.; Kitchenham, B.A.; Budgen, D.; Turner, M.; Khalil, M. Lessons from Applying the Systematic Literature Review Process Within the Software Engineering Domain. J. Syst. Softw. 2007, 80, 571–583. [Google Scholar] [CrossRef]
- Mohamed Shaffril, H.A.; Samsuddin, S.F.; Abu Samah, A. The ABC of Systematic Literature Review: The Basic Methodological Guidance for Beginners. Qual. Quant. 2021, 55, 1319–1346. [Google Scholar] [CrossRef]
- Wanden-Berghe, C.; Sanz-Valero, J. Systematic Reviews in Nutrition: Standardized Methodology. Br. J. Nutr. 2012, 107, S3–S7. [Google Scholar] [CrossRef]
- Levy, Y.; Ellis, T.J. A Systems Approach to Conduct an Effective Literature Review in Support of Information Systems Research. Inform. Sci. 2006, 9, 181–212. [Google Scholar] [CrossRef]
- 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]
- Gomersall, J.S.; Jadotte, Y.T.; Xue, Y.; Lockwood, S.; Riddle, D.; Preda, A. Conducting Systematic Reviews of Economic Evaluations. JBI Evid. Implement. 2015, 13, 170–178. [Google Scholar] [CrossRef]
- Hannes, K. Chapter 4: Critical Appraisal of Qualitative Research. In Supplementary Guidance for Inclusion of Qualitative Research in Cochrane Systematic Reviews of Interventions; Hannes, K., Ed.; Cochrane Qualitative Research Methods Group: London, UK, 2011. [Google Scholar]
- Pace, R.; Pluye, P.; Bartlett, G.; Macaulay, A.C.; Salsberg, J.; Jagosh, J.; Seller, R. Testing the Reliability and Efficiency of the Pilot Mixed Methods Appraisal Tool (MMAT) for Systematic Mixed Studies Review. Int. J. Nurs. Stud. 2012, 49, 47–53. [Google Scholar] [CrossRef]
- Whittemore, R.; Knafl, K. The Integrative Review: Updated Methodology. J. Adv. Nurs. 2005, 52, 546–553. [Google Scholar] [CrossRef]
- Stock, W.A.; Benito, J.G.; Lasa, N.B. Research Synthesis: Coding and Conjectures. Eval. Health Prof. 1996, 19, 104–117. [Google Scholar] [CrossRef]
- Onwuegbuzie, A.J.; Leech, N.L.; Collins, K.M. Qualitative Analysis Techniques for the Review of the Literature. Qual. Rep. 2012, 17, 56. [Google Scholar] [CrossRef]
- Ridley, D. The Literature Review: A Step-by-Step Guide for Students, 2nd ed.; Metzler, K., Ed.; SAGE Publications: London, UK, 2012. [Google Scholar]
- Peters, M.D.; Godfrey, C.M.; Khalil, H.; McInerney, P.; Parker, D.; Soares, C.B. Guidance for Conducting Systematic Scoping Reviews. Int. J. Evid. Based Healthc. 2015, 13, 141–146. [Google Scholar] [CrossRef]
- Moher, D.; Liberati, A.; Tetzlaff, J.; Altman, D.G.; PRISMA Group. Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement. Ann. Intern. Med. 2009, 151, 264–269. [Google Scholar] [CrossRef]
- 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. Int. J. Surg. 2021, 88, 105906. [Google Scholar] [CrossRef]
- Merton, R.K. The Matthew Effect in Science: The reward and communication systems of science are considered. Science 1968, 159, 56–63. [Google Scholar] [CrossRef]
- Price, D.J.D.S. Science Since Babylon; Yale University Press: New Haven, CT, USA; London, UK, 1961. [Google Scholar]
- Small, H. Visualizing Science by Citation Mapping. J. Am. Soc. Inf. Sci. 1999, 50, 799–813. [Google Scholar] [CrossRef]
- Chen, C. Science Mapping: A Systematic Review of the Literature. J. Data Inf. Sci. 2017, 2, 1–40. [Google Scholar] [CrossRef]
- Boyack, K.W.; Klavans, R. Co-Citation Analysis, Bibliographic Coupling, and Direct Citation: Which Citation Approach Represents the Research Front Most Accurately? J. Am. Soc. Inf. Sci. Technol. 2010, 61, 2389–2404. [Google Scholar] [CrossRef]
- Kessler, M.M. Bibliographic Coupling Between Scientific Papers. Am. Doc. 1963, 14, 10–25. [Google Scholar] [CrossRef]
- Marshakova, I.V. System of Document Connections Based on References. Nauchn-Techn. Inform. 1973, 6, 3–8. [Google Scholar]
- Small, H. Co-Citation in the Scientific Literature: A New Measure of the Relationship Between Two Documents. J. Am. Soc. Inf. Sci. 1973, 24, 265–269. [Google Scholar] [CrossRef]
- Shibata, N.; Kajikawa, Y.; Takeda, Y.; Matsushima, K. Comparative Study on Methods of Detecting Research Fronts Using Different Types of Citation. J. Am. Soc. Inf. Sci. Technol. 2009, 60, 571–580. [Google Scholar] [CrossRef]
- Chen, C.; Dubin, R.; Schultz, T. Science Mapping. In Encyclopedia of Information Science and Technology, 3rd ed.; Khosrow-Pour, M., Ed.; IGI Global: Hershey, PA, USA, 2015; pp. 4171–4184. [Google Scholar]
- Riley, J. Understanding Metadata: What is Metadata, and What Is it for? In NISO Primer Series; National Information Standards Organization (NISO): Baltimore, MA, USA, 2017. [Google Scholar]
- Van Eck, N.J.; Waltman, L. Crossref as a Source of Open Bibliographic Metadata; Centre for Science and Technology Studies, Leiden University: Leiden, The Netherlands, 2022; pp. 1–15. [Google Scholar]
- Chen, C. Mapping Scientific Frontiers: The Quest for Knowledge Visualization, 2nd ed.; Springer: London, UK, 2003. [Google Scholar]
- Donthu, N.; Kumar, S.; Mukherjee, D.; Pandey, N.; Lim, W.M. How to Conduct a Bibliometric Analysis: An Overview and Guidelines. J. Bus. Res. 2021, 133, 285–296. [Google Scholar] [CrossRef]
- Noyons, E.; Moed, H.; Van Raan, A. Integrating Research Performance Analysis and Science Mapping. Scientometrics 1999, 46, 591–604. [Google Scholar] [CrossRef]
- Ramos-Rodríguez, A.R.; Ruíz-Navarro, J. Changes in the Intellectual Structure of Strategic Management Research: A Bibliometric Study of the Strategic Management Journal, 1980–2000. Strateg. Manag. J. 2004, 25, 981–1004. [Google Scholar] [CrossRef]
- Aria, M.; Cuccurullo, C. bibliometrix: An R-tool for Comprehensive Science Mapping Analysis. J. Informetr. 2017, 11, 959–975. [Google Scholar] [CrossRef]
- Zupic, I.; Čater, T. Bibliometric Methods in Management and Organization. Organ. Res. Methods 2015, 18, 429–472. [Google Scholar] [CrossRef]
- Börner, K.; Chen, C.; Boyack, K.W. Visualizing Knowledge Domains. Annu. Rev. Inf. Sci. Technol. 2005, 37, 179–255. [Google Scholar] [CrossRef]
- Cobo, M.J.; López-Herrera, A.G.; Herrera-Viedma, E.; Herrera, F. Science Mapping Software Tools: Review, Analysis, and Cooperative Study Among Tools. J. Am. Soc. Inf. Sci. Technol. 2011, 62, 1382–1402. [Google Scholar] [CrossRef]
- Persson, O.; Danell, R.; Schneider, J.W. How to Use Bibexcel for Various Types of Bibliometric Analysis. In Celebrating Scholarly Communication Studies: A Festschrift for Olle Persson at His 60th Birthday; International Society for Scientometrics and Informetrics: Utrecht, The Netherlands, 2009. [Google Scholar]
- Chen, C. Searching for Intellectual Turning Points: Progressive Knowledge Domain Visualization. Proc. Natl. Acad. Sci. USA 2004, 101, 5303–5310. [Google Scholar] [CrossRef]
- Chen, C. CiteSpace II: Detecting and Visualizing Emerging Trends and Transient Patterns in Scientific Literature. J. Am. Soc. Inf. Sci. Technol. 2006, 57, 359–377. [Google Scholar] [CrossRef]
- Van Eck, N.J.; Waltman, L. Software Survey: VOSviewer, a Computer Program for Bibliometric Mapping. Scientometrics 2010, 84, 523–538. [Google Scholar] [CrossRef]
- Pessin, V.Z.; Yamane, L.H.; Siman, R.R. Smart Bibliometrics: An Integrated Method of Science Mapping and Bibliometric Analysis. Scientometrics 2022, 127, 3695–3718. [Google Scholar] [CrossRef]
- Haddaway, N.R.; Page, M.J.; Pritchard, C.C.; McGuinness, L.A. PRISMA2020: An R Package and Shiny App for Producing PRISMA 2020-Compliant Flow Diagrams, with Interactivity for Optimised Digital Transparency and Open Synthesis. Campbell Syst. Rev. 2022, 18, e1230. [Google Scholar] [CrossRef]
- 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]
- Tozanli, O.; Duman, G.M.; Kongar, E.; Gupta, S.M. Environmentally Concerned Logistics Operations in Fuzzy Environment: A Literature Survey. Logistics 2017, 1, 4. [Google Scholar] [CrossRef]
- Silva, W.H.; Guarnieri, P.; Carvalho, J.M.; Farias, J.S.; Reis, S.A.D. Sustainable Supply Chain Management: Analyzing the Past to Determine a Research Agenda. Logistics 2019, 3, 14. [Google Scholar] [CrossRef]
- Rejeb, A.; Keogh, J.G.; Zailani, S.; Treiblmaier, H.; Rejeb, K. Blockchain Technology in the Food Industry: A Review of Potentials, Challenges and Future Research Directions. Logistics 2020, 4, 27. [Google Scholar] [CrossRef]
- Ritola, I.; Krikke, H.; Caniëls, M.C.J. Learning from Returned Products in a Closed Loop Supply Chain: A Systematic Literature Review. Logistics 2020, 4, 7. [Google Scholar] [CrossRef]
- Varese, E.; Marigo, D.S.; Lombardi, M. Dry Port: A Review on Concept, Classification, Functionalities and Technological Processes. Logistics 2020, 4, 29. [Google Scholar] [CrossRef]
- Abideen, A.Z.; Sundram, V.P.K.; Pyeman, J.; Othman, A.K.; Sorooshian, S. Food Supply Chain Transformation through Technology and Future Research Directions–A Systematic Review. Logistics 2021, 5, 83. [Google Scholar] [CrossRef]
- Cerqueira-Streit, J.A.; Endo, G.Y.; Guarnieri, P.; Batista, L. Sustainable Supply Chain Management in the Route for a Circular Economy: An Integrative Literature Review. Logistics 2021, 5, 81. [Google Scholar] [CrossRef]
- Frederico, G.F. From Supply Chain 4.0 to Supply Chain 5.0: Findings from a Systematic Literature Review and Research Directions. Logistics 2021, 5, 49. [Google Scholar] [CrossRef]
- Lamzaouek, H.; Drissi, H.; El Haoud, N. Cash Flow Bullwhip—Literature Review and Research Perspectives. Logistics 2021, 5, 8. [Google Scholar] [CrossRef]
- Schroeder, M.; Lodemann, S. A Systematic Investigation of the Integration of Machine Learning into Supply Chain Risk Management. Logistics 2021, 5, 62. [Google Scholar] [CrossRef]
- Sharma, S.; Gahlawat, V.K.; Rahul, K.; Mor, R.S.; Malik, M. Sustainable Innovations in the Food Industry through Artificial Intelligence and Big Data Analytics. Logistics 2021, 5, 66. [Google Scholar] [CrossRef]
- Zafarzadeh, M.; Wiktorsson, M.; Baalsrud Hauge, J. A Systematic Review on Technologies for Data-Driven Production Logistics: Their Role from a Holistic and Value Creation Perspective. Logistics 2021, 5, 24. [Google Scholar] [CrossRef]
- Debnath, B.; Shakur, M.S.; Tanjum, F.; Rahman, M.A.; Adnan, Z.H. Impact of Additive Manufacturing on the Supply Chain of Aerospace Spare Parts Industry–A Review. Logistics 2022, 6, 28. [Google Scholar] [CrossRef]
- Jafari, N.; Azarian, M.; Yu, H. Moving from Industry 4.0 to Industry 5.0: What Are the Implications for Smart Logistics? Logistics 2022, 6, 26. [Google Scholar] [CrossRef]
- Malik, M.; Gahlawat, V.K.; Mor, R.S.; Dahiya, V.; Yadav, M. Application of Optimization Techniques in the Dairy Supply Chain: A Systematic Review. Logistics 2022, 6, 74. [Google Scholar] [CrossRef]
- Phan, T.L.J.; Gehrhardt, I.; Heik, D.; Bahrpeyma, F.; Reichelt, D. A Systematic Mapping Study on Machine Learning Techniques Applied for Condition Monitoring and Predictive Maintenance in the Manufacturing Sector. Logistics 2022, 6, 35. [Google Scholar] [CrossRef]
- Mansouri, B.; Sahu, S.; Ülkü, M.A. Toward Greening City Logistics: A Systematic Review on Corporate Governance and Social Responsibility in Managing Urban Distribution Centers. Logistics 2023, 7, 19. [Google Scholar] [CrossRef]
- Tikwayo, L.N.; Mathaba, T.N.D. Applications of Industry 4.0 Technologies in Warehouse Management: A Systematic Literature Review. Logistics 2023, 7, 24. [Google Scholar] [CrossRef]
- Wang, Y.; Kang, X.; Chen, Z. A Survey of Digital Twin Techniques in Smart Manufacturing and Management of Energy Applications. Green Energy Intell. Transp. 2022, 1, 100014. [Google Scholar] [CrossRef]
- Zheng, S.; Zhu, X.; Xiang, Z.; Xu, L.; Zhang, L.; Lee, C.H. Technology Trends, Challenges, and Opportunities of reduced-rare-earth PM Motor for Modern Electric Vehicles. Green Energy Intell. Transp. 2022, 1, 100012. [Google Scholar] [CrossRef]
Main Category | Proportion of Total | Top Five Subcategories | Proportion within Main Category |
---|---|---|---|
Medicine | 80.5% | Medicine General Internal | 7.7% |
Surgery | 6.3% | ||
Public Environmental Occupational Health | 5.5% | ||
Clinical Neurology | 4.8% | ||
Oncology | 4.2% | ||
Applied sciences, social and environmental sciences, linguistics, ethics, and agriculture | 11.6% | Sport Sciences | 14.3% |
Education Educational Research | 6.8% | ||
Green Sustainable Science Technology | 5.1% | ||
Environmental Studies | 4.8% | ||
Food Science Technology | 3.5% | ||
Engineering and management | 7.9% | Computer Science Information Systems | 10.6% |
Management | 10.2% | ||
Business | 6.8% | ||
Computer Science Theory Methods | 6.3% | ||
Engineering Electrical Electronic | 6.3% |
Review Purpose | Review Types | |
---|---|---|
Describe | 1. Narrative Review | 2. Meta-Narrative |
3. Textual Narrative Review | 4. Scoping Review | |
5. Meta-Summary | 6. Bibliometric Analysis | |
Test | 7. Meta-Analysis | 8. Realist Review |
9. Bayesian Meta-Analysis | 10. Ecological Triangulation | |
Extend | 11. Meta-Ethnography | 12. Meta-Study |
13. Thematic Synthesis | 14. Critical Interpretive Synthesis | |
15. Meta-Interpretation | 16. Framework Synthesis | |
Critique | 17. Critique |
Code | Criteria |
---|---|
A | Problem Formulation |
A1 | Is there any specific research question devised to lead the SLR process? |
B | Developing the Review Protocol |
B1 | Is the review protocol explained explicitly? |
C | Literature Search |
C1 | Is the search query explained sufficiently and demonstrated from a technical standpoint? |
C2 | Is the process of searching/scanning literature specified accurately (e.g., titles, abstract, …)? |
C3 | Is there an explanation of the applied filters (e.g., language, publication year, subject area, etc.)? |
D | Quality Appraisal |
D1 | Is the coarse sieve stage (the first screening) conducted correctly and sufficiently? |
D2 | Is the fine sieve stage (the second screening) conducted correctly and sufficiently? |
E | Review Report Preparation (Reproducible and Comprehensive) |
E1 | Does the title contain “systematic literature review” or express the intention of using the SLR framework? |
E2 | Is the exact date of the literature search reported? |
E3 | Is the rationale for the applied filters regarding the literature search explained and justified? |
E4 | Is the rationale for the inclusion/exclusion criteria (quality appraisal) explained and justified? |
E5 | Is the number of retrieved items elaborated on throughout the literature search and quality appraisal? |
E6 | Is there any flowchart (e.g., PRISMA) used to represent the literature search and quality appraisal? |
E7 | Is there any elaboration on the future agenda? |
F | Bibliometric Analysis |
F1 | Does the review study embrace any element/examination of the bibliometric analysis? |
F2 | Is the review on the sole basis of the bibliometric analysis? |
F3 | Is the review combined with the bibliometric analysis with clear distinction of the applied methods? |
No. | Author(s) | Year | A1 | B1 | C1 | C2 | C3 | D1 | D2 | E1 | E2 | E3 | E4 | E5 | E6 | E7 | F1 | F2 | F3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Tozanli et al. [109] | 2017 | ✓ | ✓ | ✗ | ✗ | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ | ✓ | ✓ | ✓ | ✓ | ✓ | ✗ | ✗ |
2 | Silva et al. [110] | 2019 | ✗ | ✓ | ✗ | ✓ | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ | ✓ | ✓ | ✓ | ✓ | ✓ | ✗ | ✗ |
3 | Rejeb et al. [111] | 2020 | ✓ | ✗ | ✓ | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ | ✓ | ✗ | ✗ | ✗ | ✓ | ✓ | ✗ | ✗ |
4 | Ritola et al. [112] | 2020 | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ | ✗ | ✓ | ✗ | ✓ | ✓ | ✗ | ✗ | ✓ | ✗ | ◯ | ◯ |
5 | Varese et al. [113] | 2020 | ✗ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ | ✓ | ✗ | ✓ | ✗ | ✗ | ◯ | ◯ |
6 | Abideen et al. [114] | 2021 | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✗ | ✓ | ✗ | ✗ | ✗ | ✗ | ✗ | ✓ | ✓ | ✗ | ✓ |
7 | Cerqueira-Streit et al. [115] | 2021 | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ | ✗ | ✓ | ✗ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✗ | ✗ |
8 | Frederico [116] | 2021 | ✓ | ✓ | ✗ | ✓ | ✓ | ✓ | ✗ | ✓ | ✗ | ✓ | ✗ | ✗ | ✓ | ✓ | ✓ | ✗ | ✗ |
9 | Lamzaouek et al. [117] | 2021 | ✗ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ | ✗ | ✗ | ✗ | ✗ | ✓ | ✓ | ✗ | ✗ | ◯ | ◯ |
10 | Schroeder and Lodemann [118] | 2021 | ✓ | ✗ | ✗ | ✓ | ✗ | ✓ | ✗ | ✓ | ✗ | ✗ | ✓ | ✓ | ✗ | ✗ | ✗ | ◯ | ◯ |
11 | Sharma et al. [119] | 2021 | ✗ | ✗ | ✗ | ✗ | ✗ | ✗ | ✗ | ✗ | ✗ | ✗ | ✗ | ✗ | ✗ | ✓ | ✗ | ◯ | ◯ |
12 | Zafarzadeh et al. [120] | 2021 | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ | ✓ | ✓ | ✓ | ✗ | ◯ | ◯ |
13 | Debnath et al. [121] | 2022 | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ | ✗ | ✓ | ✓ | ✗ | ✗ | ◯ | ◯ |
14 | Jafari et al. [122] | 2022 | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✗ | ✗ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✗ | ✓ |
15 | Malik et al. [123] | 2022 | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✗ | ✓ |
16 | Phan et al. [124] | 2022 | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✗ | ✗ | ◯ | ◯ |
17 | Mansouri et al. [125] | 2023 | ✗ | ✓ | ✗ | ✓ | ✓ | ✗ | ✗ | ✓ | ✗ | ✓ | ✗ | ✗ | ✗ | ✓ | ✓ | ✗ | ✗ |
18 | Tikwayo and Mathaba [126] | 2023 | ✗ | ✓ | ✗ | ✓ | ✓ | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ | ✓ | ✓ | ✗ | ✓ | ✗ | ✓ |
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. |
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Azarian, M.; Yu, H.; Shiferaw, A.T.; Stevik, T.K. Do We Perform Systematic Literature Review Right? A Scientific Mapping and Methodological Assessment. Logistics 2023, 7, 89. https://doi.org/10.3390/logistics7040089
Azarian M, Yu H, Shiferaw AT, Stevik TK. Do We Perform Systematic Literature Review Right? A Scientific Mapping and Methodological Assessment. Logistics. 2023; 7(4):89. https://doi.org/10.3390/logistics7040089
Chicago/Turabian StyleAzarian, Mathew, Hao Yu, Asmamaw Tadege Shiferaw, and Tor Kristian Stevik. 2023. "Do We Perform Systematic Literature Review Right? A Scientific Mapping and Methodological Assessment" Logistics 7, no. 4: 89. https://doi.org/10.3390/logistics7040089
APA StyleAzarian, M., Yu, H., Shiferaw, A. T., & Stevik, T. K. (2023). Do We Perform Systematic Literature Review Right? A Scientific Mapping and Methodological Assessment. Logistics, 7(4), 89. https://doi.org/10.3390/logistics7040089