种族多样性和友谊关系对管理者情绪耗竭的影响:加勒比海信息技术公司基于网络的案例研究

C. Galbraith, Cheryl Ann Phillips-Hall, Gergory Merrill
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引用次数: 1

摘要

本文的目的是实证研究管理者的情绪耗竭与团队内种族多样性、工作量要求和友谊关系之间的关系。设计/方法/方法该研究采用了一个完整的网络样本,所有经理都来自位于加勒比海岛国特立尼达和多巴哥的一家土著拥有的多元化IT公司。利用回归模型中的社会网络设计,初步检验了管理权力与业务工作量之间的关系以及情绪耗竭的倦怠维度作为基线模型。然后,研究小组的种族和友谊关系作为这种关系的调节因素。然后,作者使用一种有效的前沿分析,在这种前沿分析中,管理者作为决策单位,研究了工作组种族和友谊关系作为缓冲机制的作用。研究结果表明,种族多样性对情绪耗竭起到了“消极调节”的作用,而友谊关系对工作相关的情绪耗竭起到了“积极调节”和“缓冲”的作用。原创性/价值这是少数使用社会网络和有效前沿方法研究种族多样性和倦怠问题的实证研究之一。这也是第一个使用深入的、全样本的实际工作网络关系案例研究来调查这些问题的实证研究之一。
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The effects of ethnic diversity and friendship ties on managers' emotional exhaustion: a network-based case study of Caribbean information technology firms
PurposeThe purpose of this article is to empirically examine the relationship between managers' emotional exhaustion and the ethnic diversity, workload requirements, and friendship ties within their work-groups.Design/methodology/approachThe research employs a full-network sample of all managers from an indigenously owned ethnically diverse IT firm located in the Caribbean island nation of Trinidad and Tobago. Using a social network design within a regression model, the relationship between managerial power and operational workload and the burnout dimension of emotional exhaustion is initially examined as a baseline model. Work-group ethnicity and friendship ties are then examined as moderators to this relationship. The authors then examine the role of work-group ethnicity and friendship ties as a buffer mechanism using an efficient frontier analysis where managers act as decision-making units.FindingsThe study indicates that ethnic diversity acts more as a “negative moderator” to emotional exhaustion, while friendship ties act as both a “positive moderator” and “buffer” to work-related emotional exhaustion.Originality/valueThis is one of the few empirical studies that has examined the issues of ethnic diversity and burnout using social network and efficient frontier methodologies. This is also one of the first empirical studies to investigate these issues using an in-depth, full-sample case study of actual, real-work network relationships.
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