The Heterogeneity of Organizational Resilience: Exploring functional, operational and strategic resilience

IF 1.8 4区管理学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computational and Mathematical Organization Theory Pub Date : 2022-01-01 DOI:10.1177/26317877221074701

Manuel Hepfer, T. Lawrence

引用次数: 12

Abstract

Research on organizational resilience has grown significantly over the past three decades – but it has done so in an increasingly disorganized fashion. In this article, we present an integrative review of the organizational resilience literature. We synthesize existing research to provide a compelling and generative conceptual foundation for future work in this scholarly area. Our review shows that current research tends to treat organizational resilience as a relatively homogeneous concept. We present an alternative formulation that conceives of organizational resilience as a heterogeneous phenomenon with three main forms – functional resilience, operational resilience and strategic resilience – each with distinctive foundations, dynamics and outcomes. Based on this conceptualization, we develop a cyclical model of organizational resilience that incorporates its heterogeneity and thus allows for more nuanced and precise applications to a variety of contexts and forms of adversity.

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组织弹性的异质性:探索功能弹性、运营弹性和战略弹性

在过去的三十年里，关于组织弹性的研究有了显著的发展，但研究的方式却越来越杂乱无章。在这篇文章中，我们提出了一个综合回顾组织弹性的文献。我们综合现有的研究，为这一学术领域的未来工作提供一个引人注目的和生成的概念基础。我们的研究表明，目前的研究倾向于将组织弹性视为一个相对同质的概念。我们提出了另一种表述，认为组织弹性是一种异质现象，有三种主要形式——功能弹性、运营弹性和战略弹性——每一种都有不同的基础、动力和结果。基于这一概念，我们开发了一个组织弹性的周期性模型，该模型结合了其异质性，从而允许更细致和精确地应用于各种环境和逆境形式。

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 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.