“不负责任”的组织:组织越多责任越少

IF 1.8 4区 管理学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computational and Mathematical Organization Theory Pub Date : 2022-10-01 DOI:10.1177/26317877221131582
Nils Brunsson, Ingrid Gustafsson Nordin, Kristina Tamm Hallström
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引用次数: 4

摘要

随着世界变得越来越有组织,似乎越来越难找到负责任的人。为什么呢?我们认为,当代社会组织的广泛外部组织提供了关键。正式组织是一种集体命令,具有将责任集中在最高管理者和组织身上的巨大潜力。但当他们被其他组织组织起来时,这种潜力就被削弱了,责任就被稀释了,而不是集中了。我们通过分析作为责任的主要生产者的决策沟通和将组织定义为决定的秩序来解释这一结果。我们的分析借鉴并有助于局部组织的研究,但它也有助于全球治理和组织制度主义的文献。
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‘Un-responsible’ Organization: How More Organization Produces Less Responsibility
As the world becomes more and more organized, it seems ever more difficult to find anyone responsible. Why is that? We argue that the extensive external organization of organizations in contemporary society provides the key. Formal organizations are collective orders with great potential for concentrating responsibility on top managers and the organization. But when they are organized by other organizations, this potential is undermined, and responsibility becomes diluted rather than concentrated. We explain this outcome by analysing the communication of decisions as a main producer of responsibility and by defining organization as a decided order. Our analysis draws upon and contributes to research about partial organization, but it also contributes to literatures on global governance and organizational institutionalism.
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来源期刊
Computational and Mathematical Organization Theory
Computational and Mathematical Organization Theory COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
CiteScore
3.80
自引率
16.70%
发文量
14
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.
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