危机下领导与决策的作用:1962 - 2020年文献计量学分析与科学演进

Harry Patria
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引用次数: 2

摘要

在最近的流行病和经济危机中,领导和决策的空前重要性推动了这一研究领域的发展。本研究揭示了近几十年来对危机下领导与决策研究贡献最大的已发表著作及其演化的科学路径,主要有:(1)对早期著作及其主要结构进行科学剖析;(2)审视科学趋势和进化路径;(3)认识到理论和实践意义。本研究基于R编程语言,使用“bibliometrix”软件包(a)多维数据分析,(b)智力结构和网络分析,(c)概念结构和析因分析,(d)战略图和演化图,以及(e)全球历史引文网络和研究合作。这项文献计量学研究涵盖了1962年至2020年在学术期刊上发表的692篇文章,研究结果为领导者如何通过组织资源、技术能力、人员管理做出正确决策来克服看似合理的危机提供了一个机会。随后,研究结果可以解释决策的方式,以便在计划阶段预防潜在的危机,并在危机干预阶段减少危害。在理论贡献方面,未来的研究似乎需要探索数据挖掘、人工智能、信息系统和信息管理等新兴主题。在新冠肺炎大流行时代,医疗保健和危机管理很可能通过人工智能(AI)、机器学习(ML)、物联网(IoT)等尖端数字技术得到解决。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Role of Leadership and Decision-Making under Crisis: A bibliometric analysis and scientific evolution from 1962 to 2020
The unprecedented importance of leadership and decision-making under recent pandemic and economic crises boosts the development of this research domain. This study shed light on the published works of leadership and decision-making under crises which have had the greatest contribution and evolutionary scientific paths over the decades, which are: (1) inspect the scientific anatomy of earlier works and their main structures; (2) scrutinize the scientific trends and the evolutionary path, and (3) recognize theoretical and practical implications. This study generates its analysis based on R programming language with a package of ‘bibliometrix’ (a) multidimensional data analysis, (b) intellectual structure and network analysis, (c) conceptual structure and factorial analysis, (d) strategic diagrams and evolution maps, and (e) historical citation network and research collaboration across the world. From this bibliometric study covering 692 articles published in the academic journal from 1962 to 2020, the findings open up an opportunity of how leaders overcome plausible crises by making the right decision through organizational resources, technological capability, people management. Subsequently, the findings can explain the way decisions are made so that prevent the potential crisis in the stage of planning and lessening the harm in the stage of crisis intervention. For theoretical contributions, it appears that future research needs to explore the emerging themes of data mining, artificial intelligence, information system, and information management. In the era of the COVID-19 pandemic, healthcare and crisis management are likely to be addressed by unleashing cutting-edge digital technology such as Artificial Intelligence (AI), Machine Learning (ML), and Internet of Things (IoT).
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