重新审视团队组成:团队成员属性对齐方法

IF 8.9 2区 管理学 Q1 MANAGEMENT
Kyle J. Emich, Li Lu, Amanda J. Ferguson, R. Peterson, Michael McCourt
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引用次数: 3

摘要

研究团队构成的研究方法往往采用以变量为中心或以人为中心的方法。以变量为中心的方法允许学者考虑团队成员之间的属性模式如何影响团队,而以人为中心的方法则允许学者考虑小组成员内部多个属性的变化如何影响小组的形成及其影响。然而,团队构成理论正变得越来越复杂,它假设团队成员内部和团队成员之间的多个属性发生变化——例如,当最自信的成员也是乐观而非悲观时,预测团队的运作方式如何不同。为了支持这一新理论,我们提出了一种属性对齐方法,该方法通过将团队建模为其成员及其成员属性的矩阵来补充以变量为中心和以人为中心的方法。我们首先演示了如何通过确定团队成员属性之间的向量范数和向量角度来计算属性对齐。然后,我们展示了团队成员性格属性(神经质和宜人性)的一致性如何影响团队关系冲突。最后,我们讨论了使用属性对齐方法来丰富更广泛的团队研究的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Team Composition Revisited: A Team Member Attribute Alignment Approach
Research methods for studying team composition tend to employ either a variable-centered or person-centered approach. The variable-centered approach allows scholars to consider how patterns of attributes between team members influence teams, while the person-centered approach allows scholars to consider how variation in multiple attributes within team members influences subgroup formation and its effects. Team composition theory, however, is becoming increasingly sophisticated, assuming variation on multiple attributes both within and between team members—for example, in predicting how a team functions differently when its most assertive members are also optimistic rather than pessimistic. To support this new theory, we propose an attribute alignment approach, which complements the variable-centered and person-centered approaches by modeling teams as matrices of their members and their members’ attributes. We first demonstrate how to calculate attribute alignment by determining the vector norm and vector angle between team members’ attributes. Then, we demonstrate how the alignment of team member personality attributes (neuroticism and agreeableness) affects team relationship conflict. Finally, we discuss the potential of using the attribute alignment approach to enrich broader team research.
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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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