Evaluating Interdependence in Workgroups: A Network-Based Method

IF 8.9 2区 管理学 Q1 MANAGEMENT
D. Griffin, Ajay V. Somaraju, Christopher R. Dishop, R. DeShon
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引用次数: 2

Abstract

Interdependence is a defining characteristic of groups and teams. However, a vast range of constructs and conceptualizations for interdependence has left researchers with a dizzying array of frameworks, metrics, and perspectives with which to evaluate interdependence. This situation leaves researchers with little guidance on how to theorize about or measure interdependence. As a solution, we propose a network-based perspective of interdependence. This network-based framework moves beyond network approaches to understanding interdependence that have been proposed in the past in three ways. First, this framework is applied generally to interdependence and not to an isolated form of interdependence. Second, building on previous network-based perspectives of interdependence, we present a procedure to conceptualize a team's interdependent relationships in terms of networks. Third, we utilize the network perspective to present a standardized index of interdependence. Using illustrative examples, we demonstrate the utility of this network-based approach and present various recommendations discussing how these approaches advance the study of interdependence.
评估工作组的相互依赖:基于网络的方法
相互依赖是团体和团队的一个决定性特征。然而,相互依赖的大量结构和概念化给研究人员留下了一系列令人眼花缭乱的框架、度量和观点,用来评估相互依赖。这种情况使研究人员在如何理论化或衡量相互依赖方面几乎没有指导。作为解决方案,我们提出了一个基于网络的相互依赖视角。这种基于网络的框架超越了过去以三种方式提出的理解相互依赖的网络方法。首先,这个框架一般适用于相互依赖,而不是孤立形式的相互依赖。其次,在先前基于网络的相互依赖观点的基础上,我们提出了一种从网络角度概念化团队相互依赖关系的方法。第三,我们利用网络视角提出了一个标准化的相互依赖指数。使用说明性的例子,我们展示了这种基于网络的方法的效用,并提出了各种建议,讨论这些方法如何促进相互依赖的研究。
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来源期刊
CiteScore
23.20
自引率
3.20%
发文量
17
期刊介绍: Organizational Research Methods (ORM) was founded with the aim of introducing pertinent methodological advancements to researchers in organizational sciences. The objective of ORM is to promote the application of current and emerging methodologies to advance both theory and research practices. Articles are expected to be comprehensible to readers with a background consistent with the methodological and statistical training provided in contemporary organizational sciences doctoral programs. The text should be presented in a manner that facilitates accessibility. For instance, highly technical content should be placed in appendices, and authors are encouraged to include example data and computer code when relevant. Additionally, authors should explicitly outline how their contribution has the potential to advance organizational theory and research practice.
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