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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.

Wikipedia has the lofty goal of compiling all human knowledge. The purpose of the present study is to map the structure of the Traditional Chinese Medicine (TCM) knowledge domain on Wikipedia, to identify patterns of knowledge representation on Wikipedia and to test the applicability of author bibliographic coupling analysis, an effective method for mapping knowledge domains represented in published scholarly documents, for Wikipedia data.

We adapted and followed the well-established procedures and techniques for author bibliographic coupling analysis (ABCA). Instead of bibliographic data from a citation database, we used all articles on TCM downloaded from the English version of Wikipedia as our dataset. An author bibliographic coupling network was calculated and then factor analyzed using SPSS. Factor analysis results were visualized. Factors were labeled upon manual examination of articles that authors who load primarily in each factor have significantly contributed references to. Clear factors were interpreted as topics.

Seven TCM topic areas are represented on Wikipedia, among which Acupuncture-related practices, Falun Gong and Herbal Medicine attracted the most significant contributors to TCM. Acupuncture and Qi Gong have the most connections to the TCM knowledge domain and also serve as bridges for other topics to connect to the domain. Herbal medicine is weakly linked to and non-herbal medicine is isolated from the rest of the TCM knowledge domain. It appears that specific topics are represented well on Wikipedia but their conceptual connections are not. ABCA is effective for mapping knowledge domains on Wikipedia but document-based bibliographic coupling analysis is not.

Given the prominent position of Wikipedia for both information users and for researchers on knowledge organization and information retrieval, it is important to study how well knowledge is represented and structured on Wikipedia. Such studies appear largely missing although studies from different perspectives both about Wikipedia and using Wikipedia as data are abundant. Author bibliographic coupling analysis is effective for mapping knowledge domains represented in published scholarly documents but has never been applied to mapping knowledge domains represented on Wikipedia.

Focused on the intersection between entrepreneurial resilience and different forms of collaboration, this research makes a systematic analysis of the literature resorting to various complementary bibliometric techniques (keyword co-occurrence; bibliographic coupling of documents; bibliographic coupling of authors; co-citation of references).

According to the research protocol defined, a search by topics was made in Web of Science (WoS), with no time restriction, which led to including 97 articles in the sample. Descriptive analysis identified the evolution and tendency of publications and citations, the most productive journals, universities and countries in this topic and the research methodologies followed in the articles of the sample.

The different bibliometric techniques applied led to understanding and systematization of the tendencies and themes concerning the topic, allowing the development of a conceptual framework articulating them and revealing possible lines of research that could contribute to developing the literature.

By showing different facets of the intersection between entrepreneurial resilience and collaboration, this paper highlights the multiple implications of this area at different levels of analysis (individuals, ventures and communities) with the importance of networks of collaboration patent in each. Therefore, this study can help entrepreneurs, business and political decision-makers to make better informed decisions, which can be particularly relevant in scenarios of uncertainty and crisis, such as the present, arising from the global pandemic.

As far as the authors know, the research carried out is the first centred on systematic analysis of entrepreneurial resilience and forms of collaboration. It gives a complete conceptual and theoretical picture of the evolution of research on the topic and accordingly points out possible avenues for future research.

The purpose of this paper is to further explore the co-citation and bibliographic-coupling relationship among the core authors in the field of Chinese information science (IS), to expose research activity and author impact, and to make induction analyses about Chinese IS research patterns and theme evolution.

The research data include 8,567 papers and 70,947 cited articles in the IS field indexed by Chinese Social Sciences Citation Index from 2000 to 2009. Author co-citation analysis, author bibliographic-coupling analysis, social network analysis, and factor analysis were combined to explore co-citation and bibliographic-coupling relationships and to identify research groups and subjects.

Scholars with greatest impact are different from the most active scholars of Chinese IS; there is no uniform impact pattern forming since authors’ impact subjects are scattered and not steady; while authors’ research activities present higher independence and concentration, there is still no steady research pattern due to no deep research existing. Furthermore, Chinese IS studies can be delineated by: foundation or extension. The research subjects of these two parts, as well as their corresponding/contributing authors, are different under different views. The general research status of core authors is concentrated, while their impact is broad.

The combined use of some related methods could enrich the development and methodology research of the discipline, and the results establish a reference point on the development of IS research.

In recent years, author and document citation and co-citation analyses have often been applied to map the “intellectual structure” of different scientific fields, including management and international business. However, the technique of bibliographic coupling between scientific documents, which seeks to identify active research fronts in a scientific field or discipline, has been less commonly used. This study utilized this technique to identify and visualize the research fronts in the context of papers on emerging markets multinational enterprises (EM-MNEs) recently published in a wide variety of journals. The aim is not only to complement and expand the results obtained in prior studies that have used other types of systematization, such as qualitative content analysis methodology but also to propose avenues for future research.

The primary databases utilized to carry out the present research work – both comprised in the Web of Science™ (WoS) Core Collection – were: the Social Sciences Citation Index® (SCI) developed by the Institute for Scientific Information (ISI) and the Emerging Sources Citation Index. A total of 496 “peer-reviewed journal articles” published between 2014 and December 30, 2019 were retrieved. With regards to the methodology, bibliometric methods were utilized, as well as social network analysis (SNA).

Particularly, the analytical techniques employed – adopting a “quantitative” method of a deductive character – allowed the identification of the most active research “fronts” in international research related to the topic under analysis: the phenomenon of EM-MNEs.

The present study has several limitations resulting from the utilization of bibliometric methods applied in the analyses performed.

The authors believe that this research is of value for future researchers since it allows the identification of research “fronts,” which shape the vanguard of knowledge and reveal current trends and future directions in the area under examination.

The authors systematically review empirical dyadic service encounter research published in top-tier journals between 1972 and 2022.

The authors employed bibliometric techniques, co-citation analysis and bibliographic coupling analysis to map schools of thought and research frontiers within the dyadic service encounter literature. In total, the authors analyzed 155 articles. To ensure inclusion of high-quality research, the authors screened articles from 139 journals with “4” or “4*” ratings on the 2021 Chartered Association of Business Schools (ABS) journal list, in addition to articles published in three service sector-specific journals: Journal of Service Management, Journal of Services Marketing and Journal of Service Theory and Practice.

The authors' co-citation analysis identified four distinct clusters within the dyadic service encounter literature: (1) shaping and explaining service encounters; (2) emotions in service work; (3) modeling, manipulating and measuring encounter service quality and (4) emotional labor and regulation in dyadic service encounters. Furthermore, the authors' bibliographic coupling analysis generated three research clusters: (1) service encounter characteristics; (2) emotions and emotional labor and (3) service encounter interaction content.

The authors' comprehensive review synthesizes knowledge, summarizing similarities among research clusters within the service encounter realm. Noteworthy are research clusters that clarify the emotion-based underpinnings and reciprocal nature of behaviors and emotions within dyadic encounters. By conducting complementary bibliometric analyses, the authors trace the evolution of the service encounter literature, providing an overview of the present state of dyadic service encounter research. These analyses offer valuable insights into the current landscape of the field, identifying future dyadic service encounter research opportunities.

To commemorate the 13th anniversary of the Chinese Management Studies (CMS) and suggest future research directions, this study aims to present an overview of the CMS through a systematic bibliometric analysis from 2007 to 2019. The analysis emphasizes the trend of themes, structure of publications and citations, the most cited publications, the most productive authors, universities, countries and regions.

The study uses the data extracted from the Scopus database to present an overview; besides, it also uses VOSviewer and Bibliometrix software packages to visualize the intellectual network of CMS.

This analysis is based on 486 publications between 2007 and 2019. Results show that there is a rising trend in the number of citations to CMS. The researchers from China were the most frequent contributors to the journal, whereas researchers from the USA, Taiwan, Singapore and Australia were well represented. In addition, the results show that innovation, leadership, human resource management and corporate social responsibility have been the most important research themes in the journal.

This study offers an objective view of the CMS publication structure. The study’s findings can help the journal readers obtain a quick snapshot of the leading trends occurring in the journal. Furthermore, this study provides future research directions for the journals by underscoring important themes.

As the journal’s first retrospective, this study not only educates and enriches CMS’ global readers and aspiring contributors but can also be useful to its editorial board, as it provides several inputs in the form of future research directions to guide the journal’s progress.

The continuous development of information technology leads to intelligent education research. In the context of internationalisation, the study aims to understand the relevant research status worldwide, research similarities and differences that need to be discovered, and research frontiers that need to be explored.

Web of Science (WoS) core collection was used as the data source, descriptive statistical analysis, geographic data visualisation and coupling analysis are used to reveal coupling relationships, present a cooperative situation and discover research frontiers.

Intelligent education research has been widely carried out in countries around the world, and there is extensive scientific research cooperation. According to coupling analysis results, the coupling strength of bibliographic between countries has been continuously improved, while the coupling strength of keywords has remained balanced, and there is standardisation and diversity of research.

The weakness of the research lies in the limitations of the data sources. Important research achievements on a certain topic in many non-English speaking countries are usually published in native journals. In the future research direction, more coupling analysis objects can be carried out, such as focussing on authors and institutions.

Through the coupling analysis of country bibliographic and keywords, it reveals the consistency and divergence of intelligent education research between different countries at different time spans.

Design and implement country bibliographic coupling (CBC) and country keyword coupling (CKC) strength indicators to calculate the strength of coupling between countries.

In 2020, the Journal of Service Theory and Practice (JSTP), previously titled Managing Service Quality, celebrates its 30th anniversary. This study provides a retrospective of the evolution and contribution of the journal to service research by identifying its major trends, research constituents, factors contributing to citations and thematic structure over its 29 active years (1991–2019). The paper concludes by providing directions and ideas for progressing service research

The study uses the Scopus database to extract JSTP's bibliographic data. It employs bibliometric methods to study the trends of the journal, such as the citation structure and most-contributing authors, institutions and countries. Bibliographic coupling and keyword co-occurrence analyses are used to study the intellectual structure of the journal. Regression analysis discloses the factors influencing citations of JSTP articles. Factors explaining the citation count of JSTP articles include article age, number of author keywords, article length, title length and number of references.

JSTP's influence has grown significantly in the scientific community, which is evidenced by findings relating to the citation counts, the thematic scope/variety and authorship features of the JSTP papers published during the last 30 years. JSTP attracts publications from around the globe, but most contributions come from the United States, United Kingdom and Australia. Although JSTP has continuously evolved with new and varied themes, a bibliographic coupling analysis clustered JSTP articles into five major clusters.

The limitations of the Scopus database may impact the study's results.

This study is the first to provide a comprehensive review of JSTP since its launch. It is useful to the editorial board and other JSTP stakeholders as well as service scholars alike.

This study bibliometrically describes and depicts the intellectual structure and knowledge progress of CSR studies in the banking industry.

Bibliometric analysis is used to quantitatively examine the bibliographic data that gathered from Scopus database. The evaluative and relational techniques are employed to produce the findings and mappings for research themes, impact and directions, as well as collaboration trends. A topical classification is also included to review the results of different types of analysis.

This study discusses how the CSR literature in the banking industry has evolved between 2009 and 2019. The publications increase significantly from 2015 to 2019 and the top journals, authors, affiliations and countries are identified. Stakeholder, disclosure, financial performance, Islamic banks, corporate governance and international banks are among the popular research and collaboration trends found in the extant literature. Reflecting on the arguments in the previous literature, several key research gaps and further suggestions are acknowledged for future studies.

The bibliographic data used in this study bounds to Scopus database and the methodology itself suffers a few limitations, which integration of other methodologies will be worthwhile to unearth the field beyond the current discovery.

This study is beneficial to potential researchers, scientific journal editors, and bankers to understand the current research progression and evolution within CSR field in the banking sector.

Compared to the existing bibliometric literature, this study is among the pioneer wide-ranging bibliometrics study covering co-word, citation, bibliographic coupling, co-authorship and co-citation for CSR research in the banking sector.