Repositioning Organizational Failure Through Active Acceptance

IF 1.8 4区 管理学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computational and Mathematical Organization Theory Pub Date : 2021-10-01 DOI:10.1177/26317877211054854
G. Schwarz, D. Bouckenooghe
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引用次数: 1

Abstract

This paper considers the way organizations respond to failure by actively repositioning the failed outcome as success. When an organization fails to meet planned goals, they do not necessarily learn from the experience, automatically terminate the plan, or persist with the failing course of action. Instead, another response is to shift original aspirations by recasting what was achieved, acting as if the ensuing failure is positive, despite indicators suggesting otherwise. As a mode of organizational interpretation, this repositioning reformats the criteria for what is success in order to move forward, enabling organizations to continue failed outcomes and their tasks that are well past their use-by date. After detailing this adjustment, we model an active-acceptance protocol on failure, discussing whether organizational effectiveness is predictable from how firms respond to failure in this way. The paper fills a gap in dialogue specific to failing by opening an alternative path to understand how organizations frame failure differently.
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通过主动接受重新定位组织失败
本文考虑了组织通过积极地将失败的结果重新定位为成功来应对失败的方式。当一个组织未能达到计划的目标时,他们不一定会从经验中学习,自动终止计划,或者坚持失败的行动过程。相反,另一种应对方法是改变最初的愿望,重铸已经取得的成就,表现得好像随后的失败是积极的,尽管指标显示并非如此。作为组织解释的一种模式,这种重新定位重新定义了成功的标准,以便向前发展,使组织能够继续失败的结果和远远超过其使用日期的任务。在详细说明了这一调整之后,我们建立了一个关于失败的主动接受协议的模型,讨论了组织有效性是否可以从企业如何以这种方式应对失败来预测。本文通过开辟另一种途径来理解组织如何以不同的方式定义失败,填补了专门针对失败的对话的空白。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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