The Challenge of the Multinational Corporation to Organization Theory: Contextualizing Theory

IF 1.8 4区 管理学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
R. Piekkari, Catherine Welch, D. Westney
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引用次数: 2

Abstract

Organization scholars have increasingly looked to the multinational corporation (MNC) as a convenient research site for testing and developing general hypotheses applicable to any organization. In this essay, we argue that theorizing about organizational processes in the MNC needs to treat the MNC itself as a research object: that is, to recognize that the complex multidimensionality of the MNC will influence the phenomena under investigation and needs to be incorporated into research design and conceptual framing. To do so requires what we term contextualized explanations: styles of theorizing that view context as constitutive of organizational phenomena. We reanalyse an existing study of identity work in the Carlsberg Group to demonstrate the theoretical insights to be gained from a contextualized approach. Our case analysis illustrates how integrating the MNC into the explanation changes our theoretical understanding of the phenomena being investigated.
跨国公司对组织理论的挑战:情境化理论
组织学者越来越多地将跨国公司(MNC)视为一个方便的研究场所,以检验和发展适用于任何组织的一般假设。在本文中,我们认为,对跨国公司的组织过程进行理论化需要将跨国公司本身视为研究对象:也就是说,要认识到跨国公司复杂的多维性将影响所调查的现象,需要将其纳入研究设计和概念框架。要做到这一点,需要我们所说的情境化解释:将情境视为组织现象构成要素的理论化风格。我们重新分析了嘉士伯集团身份认同工作的现有研究,以展示从情境化方法中获得的理论见解。我们的案例分析表明,将跨国公司纳入解释如何改变我们对所调查现象的理论理解。
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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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