诽谤、呐喊与沉默:现任者对颠覆性逻辑的抵抗

IF 1.8 4区 管理学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Jesper Edman, Stefan Arora-Jonsson
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引用次数: 1

摘要

本文发展了一种现任者抵抗颠覆性新逻辑的类型学。虽然研究制度变迁的学者已经研究了公共形式的抵抗,但要全面理解在位者如何反对颠覆性的新逻辑,也需要关注无声形式的抵抗。将抵抗概念化为制度工作的一种形式,我们从制度变革和社会运动的文献中汲取见解,发展出一种对破坏性逻辑的公开、隐藏和隐性抵抗的类型学。扩大对抵抗工作的理解,包括其安静的形式,使机构学者能够理解领域内的在职者如何抵抗破坏,以及为什么这种努力可能会成功。对于现代社会一些最核心的制度(如碳基经济和民主)的过去和未来的弹性,对现有阻力进行更广泛的分析是至关重要的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Slander, Shouts, and Silence: Incumbent Resistance to Disruptive Logics
This paper develops a typology of incumbent resistance to disruptive new logics. Although scholars of institutional change have studied public forms of resistance, a comprehensive understanding of how incumbents oppose disruptive new logics also necessitates attention to the quiet forms of resistance. Conceptualizing resistance as a form of institutional work, we draw on insights from the literatures on institutional change and social movements to develop a typology of public, hidden, and implicit resistance to disruptive logics. Broadening the understanding of resistance work to include its quiet forms enables institutional scholars to understand how field incumbents resist disruption and why such efforts may be successful. A broadened analysis of incumbent resistance is vital for theorizing the past and future resilience of some of the most central institutions of modern society, such as the carbon-based economy and democracy.
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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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