Institutions and Their Social Construction: A Cross-Level Perspective

IF 1.8 4区 管理学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computational and Mathematical Organization Theory Pub Date : 2023-07-01 DOI:10.1177/26317877231194368
W. Ocasio
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Abstract

Defining institutions as taken-for-granted systems of roles and interactions, this paper presents a novel theoretical integration of hereto disparate micro and macro approaches to their social construction. Building on and modifying Berger and Luckmann (1967), I emphasize the social and cultural embeddedness of the phenomenological experience of institutions and their embodiment in organizations and organizing practices. The paper identifies mechanisms by which micro-institutions emerge at the intra-organizational level and how institutionalization is shaped across the multiple levels of organizations, geographic communities, organizational fields, societies, and the world system. It proposes that the locus of sedimentation, and hence institutionalization, occurs at multiple levels, which are culturally embedded within higher-level institutional orders of society and the world system. It further proposes that the generation of a committed network of role practitioners is a critical component of institutionalization.
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制度及其社会建构:一个跨层次的视角
将制度定义为理所当然的角色和互动系统,本文提出了一种新的理论整合,将这些不同的微观和宏观方法整合到社会建构中。在Berger和Luckmann(1967)的基础上,我强调了制度现象学经验的社会和文化嵌入性,以及它们在组织和组织实践中的体现。本文确定了微观制度在组织内部产生的机制,以及制度化是如何在组织、地理社区、组织领域、社会和世界体系的多个层面上形成的。它提出,沉淀的轨迹,从而制度化,发生在多个层面,这是文化嵌入在更高层次的社会制度秩序和世界体系。它进一步提出,建立一个忠诚的角色实践者网络是制度化的关键组成部分。
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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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