From Silence to Noise – The Politics of the Other in Organization Theory

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

Computational and Mathematical Organization Theory Pub Date : 2023-07-01 DOI:10.1177/26317877231204086

Philipp Arnold, Jana Costas

引用次数: 0

Abstract

Building on the work of Rancière, this paper theorizes otherness in organization. Extant research primarily understands the Other as a subject silenced by the voices of the One. The underlying assumption is that albeit silent, the Other is still perceived as a subject able to articulate him-/herself in intelligible ways to the One. But what happens when the Other is not even perceived as a subject part of the community of human speech? We introduce the concept of noise to understand such otherness that has remained theoretically neglected and empirically understudied so far. We develop how affect plays a significant role for how the position of Other as noise is produced and overcome – something that we term miscounting and recounting. The paper extends the theoretical repertoire of organizational scholarship by developing the notion of the Other as noise, the role of affect in struggles over otherness and the significance of in/equality enacted in practice.

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从沉默到喧嚣——组织理论中的他者政治

本文以ranci的工作为基础，对组织中的他者性进行了理论化。现存的研究主要把他者理解为一个被“一”的声音沉默的主体。潜在的假设是，尽管沉默，他者仍然被认为是一个能够以可理解的方式向一表达他/她自己的主体。但是，当他者甚至不被视为人类语言共同体的主体部分时，会发生什么呢?我们引入噪声的概念来理解迄今为止在理论上被忽视和实证研究不足的差异性。我们发展了影响如何在他者作为噪音的位置如何产生和克服中发挥重要作用-我们称之为错误计数和重新计算。本文通过发展他者作为噪音的概念，情感在与他者的斗争中的作用以及在实践中制定的平等的意义，扩展了组织学术的理论库。

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.