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This paper complements a recent study by Ramos-Rodriguez and Ruiz-Navarro (2004) that investigated the intellectual structure of the strategic management field through co-citation analysis. By using authors as the units of analysis and incorporating all the citations that are included in the Science Citation Index and the Social Science Citation Index, we trace the evolution of the intellectual structure of the strategic management field during the period 1980-2000. Using a variety of data analytic techniques such as multidimensional scaling, factor analysis, and Pathfinder analysis, we (1) delineate the subfields that constitute the intellectual structure of strategic management; (2) determine the relationships between the subfields; (3) identify authors who play a pivotal role in bridging two or more conceptual domains of research; and (4) graphically map the intellectual structure in two-dimensional space in order to visualize spatial distances between intellectual themes. The analysis provides insights about the influence of individual authors as well as changes in their influence over time.

The aim of this paper is to identify the works that have had the greatest impact on strategic management research and to analyze the changes that have taken place in the intellectual structure of this discipline. The methodology is based on the bibliometric techniques of citation and co-citation analysis which are applied to all the articles published in the \"Strategic Management Journal\" from its first issue in 1980 through 2000.

This paper offers an overview of the status of and emerging trends in environmental, social, and governance (ESG) research through a bibliometric approach using CiteSpace. In particular, our study aimed to elucidate the overall intellectual structure of the environmental, social, and governance academic field. To this end, we performed a topic search related to the environmental, social, and governance field and gathered published articles (2007–2021) from the Web of Science. Subsequently, we identified productive authors, institutes, and countries/regions to determine main research forces in the environmental, social, and governance field. Additionally, we conducted a co-citation analysis to identify highly cited authors, journals, and literatures in the environmental, social, and governance field. Furthermore, we performed a literature-co-citation-based cluster analysis and literature citation burst analysis to confirm the main themes and hotspots of the environmental, social, and governance field. These analyses can contribute to the investigations of key contributing forces in the environmental, social, and governance field at the author, institution, country/region, and journal levels and provide insights into the knowledge structures and orientations of the environmental, social, and governance field for future research.

In the field of scientometrics, the principal purpose for author co-citation analysis (ACA) is to map knowledge domains by quantifying the relationship between co-cited author pairs. However, traditional ACA has been criticized since its input is insufficiently informative by simply counting authors’ co-citation frequencies. To address this issue, this paper introduces a new method that reconstructs the raw co-citation matrices by regarding document unit counts and keywords of references, named as Document- and Keyword-Based Author Co-Citation Analysis (DKACA). Based on the traditional ACA, DKACA counted co-citation pairs by document units instead of authors from the global network perspective. Moreover, by incorporating the information of keywords from cited papers, DKACA captured their semantic similarity between co-cited papers. In the method validation part, we implemented network visualization and MDS measurement to evaluate the effectiveness of DKACA. Results suggest that the proposed DKACA method not only reveals more insights that are previously unknown but also improves the performance and accuracy of knowledge domain mapping, representing a new basis for further studies.

Drawing on sociology of science foundations, we argue that, in order to survive and prosper, healthy applied disciplines must meet the dual demands of academic and practitioner audiences by demonstrating both focus and diversity in their research. First, we use this concomitant modality to explain why previous studies into the structure of the Information Systems discipline have reported contradictory results, with some finding a focused field while others conclude that the field is diverse. In support of our argument, we then present the results of a longitudinal, author co-citation analysis, looking across the full range of journals in which IS research is published. Our results suggest that the IS field has sustained a focus on research within three subfields over a 20-year period from 1986 to 2005: (1) a thematic miscellany of research on development, implementation, and use of systems in various application domains; (2) IS strategy and business outcomes; and (3) group work and decision support. At the same time, the field has demonstrated considerable diversity within and around these core subfields, with researchers responding flexibly to the rapidly changing field by investigating these areas with new paradigms and in new contexts, and by exploring new topics including inter-business and Internet applications, computer-supported collaborative work, virtual teams, and knowledge management. Finally, we demonstrate that, over the 20-year period from 1986 to 2005, the discipline has shifted from fragmented adhocracy to a polycentric state, which is particularly appropriate to an applied discipline such as IS that must address the dual demands of focus and diversity in a rapidly changing technological context.

As a frequently used method of depicting scientific intellectual structures, author co-citation analysis (ACA) has been applied to many domains. However, only count-based information is involved as the input of ACA, which is not sufficiently informative for knowledge representations. This article catches several metadata in full text of citing papers but not aims at content-level information, which increases the amount of information input to ACA without increasing computational complexity a lot. We propose a new method by involving information including the number of mentioned times in a citing paper and the number of context words in a citing sentence. We combine these pieces of information into the traditional ACA and compare the results between ACA and the proposed approach by using factor analysis, network analysis, and MDS-measurement. The result of our empirical study indicates that compared with the traditional ACA, the proposed method shows a better clustering performance in visualizations and reveals more details in displaying intellectual structures.

PurposeThis study aims to provide an objective analysis of the state-of-the-art and intellectual development of publications related to event study methodology in business research.Design/methodology/approachThe sample includes 1,219 papers related to event study methodology, covering all business disciplines and spanning 34 years from 1983 to 2016.FindingsThrough three stages of primary analysis, namely, initial sample, citation and co-citation analyses, the authors identified the publication trends, supplementary techniques, influential publications and intellectual clusters in the area of event study methodology in business.Research limitations/implicationsThe findings serve as a benchmark for the extensive literature related to event study methodology in business and may facilitate the transference of the amassed useful techniques among disciplines and the identification of future research directions.Originality/valueThe current study represents as a pioneering effort to review event study-related publications using bibliometric analysis.

Author co-citation analysis (ACA) is a well-known and frequently-used method to exhibit the academic researchers and the professional field sketch according to co-citation relationships between authors in an article set. However, visualizing subtle examination is limited because only author co-citation information is required in ACA. The proposed method, called modified author co-citation analysis (MACA), exploits author co-citation relationship, citations published time, citations published carriers, and citations keywords, to construct MACA-based co-citation matrices. According to the results of our experiments: (1) MACA shows a good clustering result with more delicacy and more clearness; (2) more information involved in co-citation analysis performs good visual acuity; (3) in visualization of co-citation network produced by MACA, the points in different categories have far more distance, and the points indicating authors in the same category are closer together. As a result, the proposed MACA is found that more detailed and subtle information of a knowledge domain analyzed can be obtained, compared to ACA.

This article uses bibliometric analysis to empirically examine research on business ethics published in a broad set of journals, focused over the period 1988-2007. We consider those journals with an emphasis on accounting. First, we determine the citation frequencies of documents to identify the core articles in accounting research with an ethics focus as well as the contributions of influential fields included in the research sphere of these journals. We also employ document co-citation analysis to analyze the scholarly communication patterns that exist within the realm of the specified articles. Second, we utilize social network analysis tools to profile the centrality features of the co-citation network of these documents.

Purpose The purpose of this paper is to review the existing literature on supply chain performance measures and metrics (PMMs). It provides a critical evaluation of 234 articles published in past 24 years. Design/methodology/approach The paper examines the studies published from 1991 to 2014 by adopting the bibliometric technique of citation and co-citation analysis. Findings The analysis of the results indicate that the number of articles on supply chain PMMs is increasing at its fastest pace in the past few years. Furthermore, the study identifies some of the most influential articles on performance measurement and metrics. Finally, it concludes that there has been a transition from traditional to more sophisticated performance measurement system. Research limitations/implications This study focuses only on supply chain performance measurement and metrics and excludes research on performance management and control. Thus, researchers may explore and extend this area of research. Originality/value To the knowledge of the authors, this is the first study to review the literature on supply chain PMMs by using citation and co-citation analysis. The study includes 234 articles over the time of 24 years (1991-2014).