Applications of agent-based modeling and simulation in organization management: a quarter-century review through bibliometric mapping (1998–2022)

IF 1.8 4区管理学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computational and Mathematical Organization Theory Pub Date : 2023-07-24 DOI:10.1007/s10588-023-09381-8

Jiunyan Wu, Takaki Ohya, Tomoki Sekiguchi

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Abstract

The purpose of this study is to review existing research on organization management that applied agent-based modeling and simulation (ABMS). First, we systematically identified 133 relevant articles published between 1998 and 2022 using the Web of Science (WoS) and EBSCOhost database. Second, we analyzed the characteristics of ABMS reported in the 133 articles. The results illustrated that the focal articles made extensive use of ABMS as a means of theory development and the enhancement of transparency was demanded. Third, we used a bibliometric mapping approach to analyze the 133 articles visually. The results identified 36 key terms and four clusters: team behaviors under complex environments, organizational structure and design, knowledge management in organizations, and organizational decision-making. The analysis also showed which key terms are used as research fronts and which terms are emerging. Lastly, we suggest five promising research opportunities that should either be continued or be addressed in organization management.

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基于主体的建模和仿真在组织管理中的应用:通过文献计量映射的四分之一世纪回顾(1998-2022)

本研究的目的是回顾现有的应用基于主体的建模与仿真(ABMS)的组织管理研究。首先，我们使用Web of Science (WoS)和EBSCOhost数据库系统地识别了1998年至2022年间发表的133篇相关文章。其次，我们分析了133篇文献报道的ABMS的特征。结果表明，重点文章广泛使用ABMS作为理论发展的手段，需要提高透明度。第三，我们使用文献计量映射方法对133篇文章进行可视化分析。结果确定了36个关键术语和4个集群:复杂环境下的团队行为、组织结构与设计、组织中的知识管理和组织决策。分析还显示了哪些关键术语被用作研究前沿，哪些术语正在出现。最后，我们提出了五个有前途的研究机会，应该在组织管理中继续或解决。

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来源期刊

Computational and Mathematical Organization Theory COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-MATHEMATICS, INTERDISCIPLINARY APPLICATIONS

CiteScore

3.80

自引率

16.70%

发文量

审稿时长

>12 weeks

期刊介绍： Computational and Mathematical Organization Theory provides an international forum for interdisciplinary research that combines computation, organizations and society. The goal is to advance the state of science in formal reasoning, analysis, and system building drawing on and encouraging advances in areas at the confluence of social networks, artificial intelligence, complexity, machine learning, sociology, business, political science, economics, and operations research. The papers in this journal will lead to the development of newtheories that explain and predict the behaviour of complex adaptive systems, new computational models and technologies that are responsible to society, business, policy, and law, new methods for integrating data, computational models, analysis and visualization techniques. Various types of papers and underlying research are welcome. Papers presenting, validating, or applying models and/or computational techniques, new algorithms, dynamic metrics for networks and complex systems and papers comparing, contrasting and docking computational models are strongly encouraged. Both applied and theoretical work is strongly encouraged. The editors encourage theoretical research on fundamental principles of social behaviour such as coordination, cooperation, evolution, and destabilization. The editors encourage applied research representing actual organizational or policy problems that can be addressed using computational tools. Work related to fundamental concepts, corporate, military or intelligence issues are welcome.