Impactful Theory: Pathways to Mattering

IF 1.8 4区 管理学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computational and Mathematical Organization Theory Pub Date : 2022-10-01 DOI:10.1177/26317877221131061
Juliane Reinecke, Eva Boxenbaum, Joel Gehman
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引用次数: 9

Abstract

Organization Theory is an academic journal dedicated to the development and dissemination of novel theory in the domain of organizational scholarship. At the same time, an increasing chorus of organizational scholars have advocated for “impact”—broadly defined as producing societal benefit beyond the realm of academia. In this editorial, we question the implicit dichotomy between theory, on the one hand, and impact, on the other, and critically explore the notion of impactful theory. Rather than seeing theory as inherently opposed to impact, we celebrate and elucidate theory as a meaningful way to achieve impact. Specifically, we unpack the apparent oxymoron of impactful theory, and articulate seven distinct pathways whereby theory can be impactful. We close by outlining several critical questions, both for individual scholars and our collective community, as well as future research directions.
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有影响力的理论:通往重要的道路
《组织理论》是一本致力于发展和传播组织学术领域新理论的学术期刊。与此同时,越来越多的组织学者提倡“影响”——广义上定义为在学术领域之外产生社会效益。在这篇社论中,我们质疑理论与影响之间的隐性二分法,并批判性地探索有影响力理论的概念。我们不是把理论看作是影响的内在对立面,而是将理论视为实现影响的一种有意义的方式。具体来说,我们解开了影响理论的明显矛盾,并阐明了七个不同的途径,理论可以是有影响力的。最后,我们概述了几个关键问题,既针对个别学者,也针对我们的集体社区,以及未来的研究方向。
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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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