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首页> 外文期刊>Decision sciences >Path to 'Stardom' in Globally Distributed Hybrid Teams: An Examination of a Knowledge-Centered Perspective using Social Network Analysis
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Path to 'Stardom' in Globally Distributed Hybrid Teams: An Examination of a Knowledge-Centered Perspective using Social Network Analysis

机译：全球分布的混合团队中“明星”之路：使用社交网络分析对知识中心观点的考察

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摘要

Although distributed teams have been researched extensively in information systems and decision science disciplines, a review of the literature suggests that the dominant focus has been on understanding the factors affecting performance at the team level. There has however been an increasing recognition that specific individuals within such teams are often critical to the team's performance. Consequently, existing knowledge about such teams may be enhanced by examining the factors that affect the performance of individual team members. This study attempts to address this need by identifying individuals who emerge as "stars" in globally distributed teams involved in knowledge work such as information systems development (ISD). Specifically, the study takes a knowledge-centered view in explaining which factors lead to "stardom" in such teams. Further, it adopts a social network approach consistent with the core principles of structural/relational analysis in developing and empirically validating the research model. Data from U.S.-Scandinavia self-managed "hybrid" teams engaged in systems development were used to deductively test the proposed model. The overall study has several implications for group decision making: (i) the study focuses on stars within distributed teams, who play an important role in shaping group decision making, and emerge as a result of a negotiated/consensual decision making within egalitarian teams; (ii) an examination of emergent stars from the team members' point of view reflects the collective acceptance and support dimension decision-making contexts identified in prior literature; (iii) finally, the study suggests that the social network analysis technique using relational data can be a tool for a democratic decision-making technique within groups.
机译：尽管分布式团队已经在信息系统和决策科学学科中进行了广泛的研究，但是对文献的回顾表明，主要的关注点是了解影响团队绩效的因素。但是，人们越来越认识到，此类团队中的特定人员通常对团队的绩效至关重要。因此，可以通过检查影响各个团队成员绩效的因素来增强有关此类团队的现有知识。这项研究试图通过识别在涉及知识工作（例如信息系统开发（ISD））的全球分布团队中以“明星”身份出现的个人来满足这一需求。具体而言，本研究以知识为中心的观点来解释哪些因素导致此类团队中的“明星”。此外，在开发和实证研究模型时，它采用与结构/​​关系分析的核心原则相一致的社交网络方法。来自美国-斯堪的纳维亚半岛自我管理的从事系统开发的“混合”团队的数据被用来演绎性地测试所提出的模型。总体研究对团队决策具有若干影响：（i）研究集中在分布式团队中的明星，这些明星在塑造团队决策中起着重要作用，并且是由平等主义团队内部通过协商/共识性决策而产生的； （ii）从团队成员的角度检查新兴恒星，以反映先前文献中确定的集体接受和支持维度决策环境； （iii）最后，研究表明，使用关系数据的社交网络分析技术可以成为群体内民主决策技术的工具。

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