虚拟团队:四十年研究的智能文献回顾

IF 4.3 Q1 PSYCHOLOGY, MULTIDISCIPLINARY Human Behavior and Emerging Technologies Pub Date : 2024-02-22 DOI:10.1155/2024/8373370
Takuma Kimura
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引用次数: 0

摘要

在信息和通信技术的进步以及全球化力量的推动下,虚拟团队的使用率日益提高,这也促进了理论研究和实证研究的显著增长。在智能文献综述框架的基础上,本研究利用人工智能技术,特别是自然语言处理和主题建模,广泛分析了过去四十年虚拟团队研究的趋势。分析数据集包括 Scopus 索引期刊中的 2,184 篇文章,发现了 16 个不同的主题,涵盖了沟通、领导力和信任等关键领域。随着时间的推移,该领域研究课题的轨迹日益多样化。学习、交流、信任和领导力等关键主题一直是十大最常探讨的主题。相比之下,敏捷开发和病人护理等新兴领域最近成为了一些最突出的主题。本研究采用了最先进的主题建模技术--BERTopic,为虚拟团队研究领域不断变化的前景提供了一个全面而动态的全景图。
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Virtual Teams: A Smart Literature Review of Four Decades of Research

The increasing utilization of virtual teams—driven by advancements in information and communication technology and the forces of globalization—has spurred significant growth in both theoretical and empirical research. Based on the smart literature review framework, this study harnesses artificial intelligence techniques, specifically natural language processing and topic modeling, to extensively analyze the trends in virtual team research spanning the last four decades. Analyses of a dataset comprising 2,184 articles from Scopus-indexed journals discern 16 distinct topics, encompassing critical areas such as communication, leadership, and trust. The trajectory of research topics in this field has witnessed increasing diversification over time. Key subjects such as learning, communication, trust, and leadership have consistently maintained their presence among the ten most frequently explored topics. In contrast, emerging areas such as agile development and patient care have recently become some of the most prominent themes. Employing the state-of-the-art topic modeling technique, BERTopic, this study furnishes a comprehensive and dynamic panorama of the evolving landscape within virtual team research.

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来源期刊
Human Behavior and Emerging Technologies
Human Behavior and Emerging Technologies Social Sciences-Social Sciences (all)
CiteScore
17.20
自引率
8.70%
发文量
73
期刊介绍: Human Behavior and Emerging Technologies is an interdisciplinary journal dedicated to publishing high-impact research that enhances understanding of the complex interactions between diverse human behavior and emerging digital technologies.
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