Expert Authority in Crisis: Making Authority Real Through Struggle

IF 1.8 4区 管理学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computational and Mathematical Organization Theory Pub Date : 2022-10-01 DOI:10.1177/26317877221131587
Cara Reed, M. Reed
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引用次数: 1

Abstract

There is an emerging consensus both within the social scientific research community and more widely in the public domain that expert authority is “in trouble.” However, there is much greater disagreement over the scope and scale of this trouble and what it might mean for the nature, status, and significance of expert authority in the 21st century. This paper identifies and assesses three different narratives concerning the crisis in expert authority. These constitute the delegitimation narrative, the demystification narrative, and the decomposition narrative. They can be seen as responses to the breakdown in the implicit social contract between experts, publics, and states under the extreme and continuous pressures exerted on expert authority by disjunctive change. We evaluate these various interpretations of the crisis in expert authority, particularly in terms of what they suggest about the future potency and stability of the concept of expert authority. In this process of evaluation, we also highlight the emergence of reflexive expert authority and its implications for organizational governance as potential outcomes of this ongoing crisis in the legitimacy and status of expert workers. Consequently, the paper provides a general analytical framework for understanding the emergent narratives around expert authority in democracies and highlights how all three narratives point to serious problems in sustaining this authority in the face of destabilizing change. Furthermore, in developing the notion of reflexive expert authority, we contend that theorization of expert authority needs to privilege the deeper dynamics of trust and control at the core of its analytical focus within organization theory.
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危机中的权威专家:通过斗争使权威成为现实
在社会科学研究界和更广泛的公共领域,专家权威正“陷入困境”,这一共识正在形成。然而,对于这一问题的范围和规模,以及它对21世纪专家权威的性质、地位和重要性可能意味着什么,存在着更大的分歧。本文识别和评估关于专家权威危机的三种不同的叙述。这些构成了去合法化叙事、去神秘化叙事和分解叙事。它们可以被看作是对专家、公众和国家之间的隐性社会契约在分离变化对专家权威施加的极端和持续压力下破裂的反应。我们评估专家权威危机的这些不同解释,特别是根据它们对专家权威概念的未来效力和稳定性的建议。在这个评估过程中,我们还强调了反身性专家权威的出现及其对组织治理的影响,这是专家工作者合法性和地位持续危机的潜在结果。因此,本文为理解围绕民主国家专家权威的新兴叙事提供了一个一般的分析框架,并强调了这三种叙事如何指出在面对不稳定的变化时维持这种权威的严重问题。此外,在发展反身性专家权威的概念时,我们认为专家权威的理论化需要将信任和控制的深层动态作为其在组织理论中分析重点的核心。
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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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