Taking a network approach, the purpose of this paper is to investigate the social antecedents of work-related engagement and exhaustion in a sample of Dutch healthcare workers, examining how employees’ structural position in the team (i.e. their centrality in the network) is associated with their engagement and exhaustion. Distinctions are made between instrumental networks (i.e. structural dependencies) and expressive networks (i.e. emotional connectedness through friendships).,Associations between job characteristics (quantitative demands, emotional demands and influence) and employees’ centrality in the instrumental and expressive networks at work with their self-reported engagement and exhaustion were examined. Network centrality was assessed though a sociometric survey by the total number of nominations each employee received (in-degree centrality) or gave (out-degree centrality) and for both networks separately.,The results show that whereas job characteristics but not network centrality were associated with exhaustion, network centrality in the expressive network but not job characteristics was associated with engagement. In-degree centrality (being nominated by many co-workers as a friend) was positively associated with engagement, whereas out-degree centrality (nominating many co-workers as a friend) was negatively associated with engagement.,The results support recent findings concerning more multifaceted antecedents of engagement and exhaustion, and underline the importance considering social network characteristics in investigations of work engagement. On a methodological level, the differing results for in-degree and out-degree centrality underline the importance of not only relying on self-reported social relationships but to also capture other-reported data.

中文翻译：

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医疗保健中的参与和疲劳：一种网络方法

本文采用网络方法，旨在通过对荷兰医护人员样本中与工作相关的工作和精疲力尽的社会先行因素进行调查，研究员工在团队中的结构地位（即他们在网络中的中心地位）之间的关系。他们的参与和精疲力尽。在工具性网络（即结构性依存关系）和表现性网络（即通过友谊建立情感联系）之间进行区分。工作特征（定量需求，情感需求和影响力）与员工在工具性和表达性网络中的中心地位之间的联系自我报告的参与和疲惫进行了检查。网络社会地位是通过社会计量学调查来评估的，每个员工分别获得了每个员工获得的提名总数（学位集中度）或给出的提名（学位集中度）。结果表明，工作特征而不是网络集中度是与精疲力竭相关，表达网络中的网络中心性与敬业度没有关系。高度集中度（由许多同事提名为朋友）与参与度呈正相关，而高度集中度（由许多同事提名为朋友）与参与度呈负相关。参与和精疲力竭的多方面前提，并强调在工作投入调查中考虑社交网络特征的重要性。在方法论层面上，度内和度外中心度的不同结果突显了不仅依靠自我报告的社会关系而且还必须获取其他报告数据的重要性。