变革型领导如何通过工作参与影响下班后个人日常能量资源的恢复:基于资源和需求的途径

Jan Philipp Czakert, David Leiva Ureña, Rita Gisela Berger
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引用次数: 0

摘要

本研究通过调查日常下班恢复和员工福利(EWB)的资源和需求途径,重点研究变革型领导与工作投入之间的关系。以往的研究强调了变革型领导力如何激发员工的工作热情,而精力是一种有限的资源,需要每天恢复才能达到 EWB。然而,领导者的激励作用如何与员工的日常恢复相关联,目前仍是一个未知数。根据工作需求-资源-恢复理论,我们测试了变革型领导-工作投入关系与员工日常恢复的两条途径:(a)通过资源建设实现资源恢复;(b)通过增加需求实现需求恢复。通过一项为期 10 天、每天测量两次的研究(N = 88),多层次路径分析显示:变革型领导通过工作投入(b = .17,p < .05)、角色清晰度(b = .56,p < .01)、正向(b = .39,p < .01)和负向工作-非工作溢出(b = -.38,p < .01)进行预测。积极的工作-非工作溢出对恢复有积极的预测作用(b = .25, p <.01),消极的工作-非工作溢出对恢复有消极的预测作用(b = -.40, p <.01)。恢复对 EWB 的积极影响(b = .38,p < .01)和消极影响(b = -.43,p < .01)具有预测作用。工作投入预测工作量(b = .35,p <.01),进一步预测消极(b = .33,p <.01)和积极的工作-非工作溢出(b = -.16,p <.01),从而阻碍 EWB。由于一种途径效应可能会抵消另一种途径效应,因此在整合模型中,变革型领导对 EWB 的主效应并不显著(p >.05)。研究结果凸显了变革型领导与工作参与关系在日常恢复方面的阴暗面和光明面。
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How Transformational Leadership Affects the Off-work Recovery of Daily Personal Energy Resources via Work Engagement: Resource and Demand-based Pathways
This study focuses on the transformational leadership-work engagement relationship by investigating resource and demand pathways for daily off-work recovery and employee wellbeing (EWB). While previous research highlighted how transformational leadership energizes employees to engage at work, energy is a finite resource requiring daily restoration for EWB. Yet, how the leader’s energizing effect relates to daily employees’ recovery remains unknown. Following job demands-resource-recovery theory, we test two pathways that relate the transformational leadership-work engagement relationship to daily employee recovery: (a) Resource-based via resource-building, (b) demand-based via increased demands. Utilizing a 10-day, two daily measurement (N = 88) study, multilevel path analyses revealed: transformational leadership predicted via work engagement (b = .17, p < .05) role clarity (b = .56, p < .01), then positive (b = .39, p < .01), and negative work-nonwork spillover (b = –.38, p < .01). Positive work-nonwork spillover predicted recovery positively (b = .25, p < .01), negative work-nonwork spillover negatively (b = –.40, p < .01). Recovery predicted EWB for positive (b = .38, p < .01) and for negative (b = –.43, p < .01) affect. Work engagement predicted workload (b = .35, p < .01), further negative (b = .33, p < .01) and positive work-nonwork spillover (b = –.16, p < .01), hampering EWB. As one pathway effect might cancel the other, the main effect of transformational leadership on EWB was not significant in the integrative model (p > .05). Results highlight dark and bright sides of the transformational leadership-work engagement relationship regarding daily recovery.
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