A Temporal Narrative View of Sensemaking

IF 1.8 4区 管理学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computational and Mathematical Organization Theory Pub Date : 2022-10-01 DOI:10.1177/26317877221131585
T. Hernes, David Obstfeld
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引用次数: 3

Abstract

This paper contributes a narrative dimension for the temporality of organizational sensemaking. Reconciling sensemaking with a broader understanding of time not only provides a more in-depth treatment of time in sensemaking. It also helps overcome existing dichotomies in temporal theorizing to advance a more dynamic temporal theorizing in organizational research. To extend a temporal understanding of sensemaking, we discuss Ricoeur’s theory of narrative and time in light of his prefigurative, configurative, and refigurative modes of time. We then suggest ways that this framework illuminates how three corresponding temporal modes of sensemaking connect through time, drawing on Weick’s analysis of the Mann Gulch disaster to illustrate the framework. Finally, we discuss how the recursive features of our framework enable understanding of the situated dynamics by which actors move through time, thus contributing a way to deal with the “stationarity problem” of temporal theorizing.
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意义建构的时间叙事观
本文为组织语义的时间性提供了一个叙事维度。将意义构建与对时间的更广泛理解协调起来,不仅在意义构建中提供了对时间的更深入的处理。它还有助于克服现有的时间理论化的二分法,推动组织研究中更具活力的时间理论化。为了扩展对时间意义的理解,我们从利科的时间的预示、配置和重塑模式来讨论他的叙事和时间理论。然后,我们提出了这个框架如何阐明三种相应的时间模式是如何随着时间的推移而联系起来的方法,并借鉴了Weick对Mann Gulch灾难的分析来说明这个框架。最后,我们讨论了我们框架的递归特征如何使我们能够理解行动者随时间移动的情境动态,从而为处理时间理论化的“平稳性问题”提供了一种方法。
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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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