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This paper focuses on the differences in domain intellectual structure discovery between author bibliographic coupling analysis (ABCA) and author co-citation analysis (ACA) considering all authors. The purpose of this study is to examine whether and in what ways these two all-author network approaches yield different results.

The sample was collected from the database of Web of Science, including all articles published in Scientometrics and Journal of Informetrics from 2011 to 2020. First, 100 representative authors were selected from each set, and ABCA matrices and ACA matrices were constructed. Second, factor analysis was carried out on the matrices, to detect the intellectual structure of scientometrics and informetrics.

The intellectual structures identified by ABCA and ACA are similar overall, but the results differ somewhat when it comes to specific structures. The ABCA is more sensitive to some highly collaborative research teams and presents a clearer picture of current intellectual structures and trends while ACA seems to have some advantages in representing the more traditional and proven research topics in the field. The combined use of ABCA and ACA allows for a more comprehensive and specific intellectual structure of research fields.

This paper compares the performance of ABCA and ACA detecting the intellectual structure of the domain from the perspective of all authors, revealing the intellectual structure of scientometrics and informetrics comprehensively.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-12-2020-0540.

This study continues a long history of author co-citation analysis of the intellectual structure of information science into the time period of 2011–2020. It also examines changes in this structure from 2006–2010 through 2011–2015 to 2016–2020. Results will contribute to a better understanding of the information science research field.

The well-established procedures and techniques for author co-citation analysis were followed. Full records of research articles in core information science journals published during 2011–2020 were retrieved and downloaded from the Web of Science database. About 150 most highly cited authors in each of the two five-year time periods were selected from this dataset to represent this field, and their co-citation counts were calculated. Each co-citation matrix was input into SPSS for factor analysis, and results were visualized in Pajek. Factors were interpreted as specialties and labeled upon an examination of articles written by authors who load primarily on each factor.

The two-camp structure of information science continued to be present clearly. Bibliometric indicators for research evaluation dominated the Knowledge Domain Analysis camp during both fivr-year time periods, whereas interactive information retrieval (IR) dominated the IR camp during 2011–2015 but shared dominance with information behavior during 2016–2020. Bridging between the two camps became increasingly weaker and was only provided by the scholarly communication specialty during 2016–2020. The IR systems specialty drifted further away from the IR camp. The information behavior specialty experienced a deep slump during 2011–2020 in its evolution process. Altmetrics grew to dominate the Webometrics specialty and brought it to a sharp increase during 2016–2020.

Author co-citation analysis (ACA) is effective in revealing intellectual structures of research fields. Most related studies used term-based methods to identify individual research topics but did not examine the interrelationships between these topics or the overall structure of the field. The few studies that did discuss the overall structure paid little attention to the effect of changes to the source journals on the results. The present study does not have these problems and continues the long history of benchmark contributions to a better understanding of the information science field using ACA.

The purpose of this paper is to employ a quantitative approach to explore the intellectual structure of the market orientation (MO) field over the course of its development.

This research was conducted by using the bibliometric techniques of citation and co-citation analyses to investigate 1,892 publications in the MO field from 1990 to 2016, as well as factor analysis and multidimensional scaling to present a clear visual experience of the knowledge structure of the MO filed.

This study reveals meaningful outputs to assist in: delineating the critical authors, institutions and countries related to the study of MO; identifying the published documents that have had a significant influence on the field; clarifying the subfields that have developed from the MO field; and mapping the intellectual structure of the field in a two-dimensional space that allows for the visual representation of different themes.

Given the sheer volume of works that exist, these bibliometric techniques cannot completely measure, describe and present the entire intellectual structure of the MO field. Instead, co-citation analysis was performed using the data from only the top publications to identify the level of integration of the field, the changes of each knowledge group and the maturity of its evolution.

First, this study extends the approach to identify the subject of MO from a quantitative perspective. Second, our analysis shows the intersection between the marketing discipline and management discipline in the MO literature. Finally, this study reveals the development tendency of the MO field in recent years. The results of this study are valuable to readers interested in MO research, especially those newly interested in this field.

This research aims to examine the intellectual structure of iMetrics through author co-citation analysis.

This research uses common techniques in bibliometrics and social network analysis. It analyses 5,944 records from the Web of Science in the field of iMetrics that are published between 1978 and 2014.

Findings indicated that researchers including “Garfield”, “Egghe”, “Glanzel”, “Leydesdorff” and “Price” have received many co-citations. The author co-citation analysis in iMetrics resulted in eight thematic clusters, including “theoretical foundations and citation analysis”, “sociology of science”, “science mapping and visualization”, “network analysis”, “classic laws of bibliometrics”, “webometrics”, “technometrics” and “miscellaneous”. “Theoretical foundations and citation analysis” is the biggest cluster which comprises 59 authors. The results suggest the crucial role of price medallists in shaping the intellectual structure of knowledge in iMetrics.

Extracting the patterns embedded in the knowledge structure of iMetrics studies provides beneficial information for both researchers and policymakers. This research study is valuable that used an appropriate set of records regarding both recall and precision. Furthermore, this study helps us better understand the characteristics of iMetrics, its subject areas, and the prominent authors in those areas.

The purpose of this paper is to analyse the intellectual structure and research fronts of discipline of supply chain risk management (SCRM), in order to identify the knowledge groups in the research area to date, as well as to reveal any relationships between these subfields and the central influential trends.

By means of a bibliometric study, the 32 most co-cited articles on SCRM published in 16 top business-related academic journals are analysed using multivariate statistical techniques, i.e. multi-dimensional scaling, cluster analysis and correspondence factor analysis.

The results demonstrate a clearly identifiable structure as a result of the performed co-citation analysis. The conducted cluster analysis and factor bring forward that the research field is arranged in five different areas of interest: explaining supply chain (SC) risk phenomena, concepts, frameworks and insights of SCRM; modelling risks for SCs; inventory risks affecting supply efficiency; SC and product design methods; and SC risk mitigating strategies.

Overall, the intellectual structure of SCRM is first examined through a bibliometric approach using quantitative techniques – for improved understanding of its origins, and to identify the state of the science – and to offer suggestions for future studies that could cover current gaps. This study represents the potential to advance the SCRM literature landscape.

The purpose of this paper is to show that by exploring the intellectual structure of activity-based costing (ABC) based on the citation database of Google Scholar, one can understand the evolution and core ideas of the ABC discipline.

This study employs the document co-citation method to model the intellectual structure of ABC between 1988 and 2008. After an initial co-citation analysis of the condition-limited literature set to find the relationships between core articles, this study further implements multivariate statistical techniques to construct representations for the ABC intellectual structure.

A total of four important subjects chronologically provide a panoramic view of the evolution of ABC. This study finds some dimensions of the results to be in accordance with prior research, but further achieves insights into the core ideas underpinning the ABC discipline. It demonstrates the validity of this study conducting a co-citation analysis based on the citation data of Google Scholar.

The classification, core articles, and evolution of the ABC literature published in the past two decades benefit academic researchers conducting future studies that build systematically on prior research.

The intellectual structure of the ABC discipline explains and predicts the stages of ABC implementation's life cycle. For the accounting profession, this helps a consultant/practitioner in sub-fields of the ABC domain to quickly and easily enlarge the coverage and viewpoints or perspectives within his/her cluster of interest and to jointly consider the successful factors of implementing ABC in an organization.

The empirical feasibility of using digitally archival information to model an intellectual structure of ABC is attained; and the intellectual structure and its various representations provide researchers, consultants, and practitioners with a macroscopic and dynamic view of the ABC discipline.

The Journal of Accounting in Emerging Economies (JAEE), established in 2011, aims to publish research on contemporary accounting issues in emerging economies. This study used the bibliometric and scientometric approaches to provide deeper insights into the journal performance, prominent topics, author's contributions and citation structure. Content analysis was conducted to provide insights on the major themes addressed in JAEE.

This study analyses data from the Scopus database, Google Scholar and Journal website. The total number of documents analysed are 190. This study employs VOSviewer and RStudio to conduct the analysis which is categorised into four major parts: General performance indicators, citation structure, network analysis and content analysis.

Since JAEE commenced publication in 2011 and indexed in the Scopus in 2018, it achieved a 14.47% annual growth rate in document publication. It is encouraging to note that 88.4% of published documents were cited. In terms of total publication, the top contributing country is Malaysia; the USA is the primary contributor in citations. Five key themes emerged from the content analysis namely, international standards and earnings quality; audit quality and IFRS practices in emerging economies; corporate governance; financial reporting and earnings management; corruption and accounting disclosure; and ownership structure and firm performance.

This study offers a comprehensive assessment to the journal stakeholders about the past and current journal performance besides future trends and perspectives. Additionally, JAEE readers can gain insight into the nature of academic contributions in JAEE from 299 authors of 273 affiliated institutions in 67 countries.

This research aims to conduct a literature review of Lean Six Sigma (LSS) in the Indian context and related research publications and apply bibliometric analysis and the author's visualization to map research trends in this area.

This article conducts a bibliometric analysis of LSS-related research in the Indian context using data gathered from Scopus and Web of Science databases from 2011 to 2022. The review provides information on LSS-related research in the Indian context and evaluates performance based on primary sources, authors, keywords, countries, affiliations, and documents. The analysis employs the Biblioshiny app and Bibliometrix R-tool for data analysis and scientific mapping.

The results of the bibliometric analysis indicate that the LSS culture has widely spread in India. The International Journal of Lean Six Sigma and Production Planning and Control were found to be the most productive sources for publishing LSS-related research articles. Antony J. was identified as the most active author in this field, contributing the most over the years. Among all organizations, NITs have conducted the most comprehensive research on LSS, indicating their significant investment of resources and efforts in studying this methodology and its applications in India. Additionally, the study examined the intellectual, social, and conceptual structures to identify implicit gaps and future research opportunities.

The findings of this study can inform academicians, researchers, practitioners, and policymakers about the state-of-the-art and the specifics of the most prolific studies. This study will facilitate their exploration of emerging research areas in LSS.

To the best of the authors knowledge, this is the first bibliometric analysis of LSS in the Indian context, providing an overview of relevant publications published between 2011 and 2022. This study analyzed 194 articles on LSS in India, which can help researchers and academics identify emerging research areas, suitable collaborators, and relevant journals for future publications.

Journal of Knowledge Management (JKM) is the foremost academic source of knowledge management research. Therefore, to understand the intellectual structure of knowledge management research, this study aims to examine the thematic patterns and evolution of research in JKM.

Using bibliographic coupling analysis, this study analyzes and maps the intellectual structure of the research published in JKM from 1977 to 2021. It also presents the trends among methodological choices of JKM authors. The study also explores the major components of JKM’s impact, wherein a negative binomial regression analysis is used to uncover the major factors influencing the journal’s citations.

The findings suggest that the intellectual structure of JKM broadly consists of four major themes: antecedents and consequences of knowledge management, innovation and knowledge management, complexities in knowledge management and firm performance, and knowledge sharing in knowledge management. The findings also reveal the drivers of citations for JKM through the universalism (article order, open access), social constructivism (European and FT100 institution affiliation, references, funding) and presentation (tables, models, appendices, article age) perspectives.

This inclusive overview of JKM will provide useful insights for its editorial board, readers and scholars to chart the ways forward for JKM and the future of knowledge management.

To the best of the authors' knowledge, this study is the first of its kind to identify the factors that contribute to JKM's impact from a citation perspective.

This study aims to conduct a literature review on factors that influence the implementation and design of performance measurement systems in nonprofit organizations.

The research strategy is conceived through a literature review focused on the analysis of authorship, supported by bibliometric techniques such as citation, co-citation and co-authorship social networks.

Models and theories proposed for measuring performance in non-profit organizations are being researched, starting to form an intellectual structure related to performance measurement systems and nonprofits. Three main research topics have been given more attention: strategic performance and public service performance, health-care performance and nonprofit operations strategy and performance measurement.

The study is limited to scientific journal papers and could benefit from the addition of new sources of information such as conference papers, books and standards. The body of knowledge of this topic could also benefit from an in-depth investigation through a comprehensive review of models and theories, as a proposal for a future research agenda.

As practical applications are identified, groups of researchers in different countries and subjects that can generate research agendas, scientific communities used to investigate issues related to performance in nonprofit activities.

Performance measurement in nonprofit organizations is a topic of study that has been receiving considerable attention in recent years, to the point that the literature is revealing specific models for measuring performance in this type of organizations. Particular models and theories are being conceived, specializing existing models and theories related to performance measurement and management.