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Exploring the intellectual structure and evolution of 24 top business journals: a scientometric analysis
The Electronic Library ( IF 1.675 ) Pub Date : 2020-06-13 , DOI: 10.1108/el-12-2019-0279
Fangfang Wei , Guijie Zhang

This paper aims to present a longitudinal and visualizing study using scientometric approaches to depict the historical changes in the academic community, intellectual base and research hotspots within the business domain.,Two mapping methods are used, namely, co-citation analysis and co-occurrence analysis. Both the co-citation analysis and co-occurrence analysis in this study are conducted using CiteSpace, a Java-based scientific visualization software.,This paper detects changes in academic communities in 24 business journals chosen by the University of Texas at Dallas as leading journals (UTD24) and identifies the research hotspots such as corporate governance, organizational research and capital research. Many authors and academic communities appear in two or even three periods, which indicates the lasting academic vitality of scholars in this field. This paper determines the evolution of scholars' research interests by identifying high-frequency keywords during the entire period.,This paper reveals a systematic and holistic picture of the developmental landscape of the business domain, which can provide a potential guide for future research. Furthermore, based on empirical data and knowledge visualization, the intellectual structure and evolution of the business domain can be identified more objectively.

中文翻译:

探索 24 种顶级商业期刊的知识结构和演变:科学计量分析

本文旨在提出一个纵向和可视化的研究,使用科学计量方法来描绘商业领域内学术界、知识基础和研究热点的历史变化。,使用了两种映射方法,即共引分析和共现。分析。本研究中的共被引分析和共现分析均使用基于Java的科学可视化软件CiteSpace进行。,本文检测了德克萨斯大学达拉斯分校选择为领先期刊的24种商业期刊中学术界的变化(UTD24) 并确定了公司治理、组织研究和资本研究等研究热点。许多作者和学术界出现在两个甚至三个时期,这表明该领域学者的学术活力经久不衰。本文通过识别整个时期的高频关键词来确定学者研究兴趣的演变。,本文揭示了业务领域发展格局的系统和整体图景,可为未来的研究提供潜在的指导。此外,基于经验数据和知识可视化,可以更客观地识别业务领域的知识结构和演变。
更新日期:2020-06-13
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