Organizational Legitimacy: A Bibliometric Analysis of Web of Science Database

Varsha Sehgal
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Abstract

This study is an attempt to conduct a bibliometric review in the above-mentioned field. A bibliometric review is conducted using 644 articles from the Web of Science core collection database. The article evaluates the research article distribution based on time and geography. It also highlights notable articles, authors and journals. We make use of techniques like citation analysis, co-citation analysis and co-occurrence analysis. Software Vos Viewer and Biblioshiny are used. The article also explores the theme development in the area. The volume of publications has seen steady growth since 2003 but has seen rapid growth post 2020. On analysing the country-wide distribution, we realize that the top five positions are occupied by USA, England, China, Canada and Spain. In terms of the major sources of these publications, the list of journals has spread across various disciplines such as accounting, human resource management, economics, ethics, etc. Trending topics like corporate social responsibility, sustainability, financial performance, corruption, risk and trust whose linkages with legitimacy have gained emphasis in recent times have been highlighted. Further, the analysis emphasizes areas with research scope like social media and legitimacy, corporate governance and legitimacy, institutional pressures, etc. Additionally, co-citation clusters were developed to represent the distribution of the thematic structure. The article provides various suggestions for academicians and managers/policymakers.
组织的合法性:科学网数据库的文献计量分析
本研究试图对上述领域进行文献计量学审查。文章利用 Web of Science 核心数据库中的 644 篇文章进行了文献计量学综述。文章评估了基于时间和地域的研究文章分布情况。文章还重点介绍了著名文章、作者和期刊。我们使用了引文分析、共引分析和共现分析等技术。我们使用了 Vos Viewer 和 Biblioshiny 软件。文章还探讨了该领域的主题发展。自 2003 年以来,出版量稳步增长,但 2020 年后增长迅速。在分析国家分布时,我们发现美国、英国、中国、加拿大和西班牙占据了前五位。从这些出版物的主要来源来看,期刊清单涉及会计、人力资源管理、经济学、伦理学等多个学科。重点分析了企业社会责任、可持续发展、财务业绩、腐败、风险和信任等热门话题,这些话题与合法性之间的联系在近期得到了重视。此外,分析还强调了社交媒体与合法性、公司治理与合法性、制度压力等具有研究范围的领域。此外,还建立了共同引用集群,以表示主题结构的分布。文章为学术界和管理者/政策制定者提供了各种建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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