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How servant leadership predicts employee resilience in public organizations: a social identity perspective
Southwest Jiaotong Univ, China.
Southwest Jiaotong Univ, China.
Southwest Jiaotong Univ, China.
Sapienza Univ Roma, Italy.
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2023 (English)In: Current Psychology, ISSN 1046-1310, E-ISSN 1936-4733, Vol. 42, no 35, p. 31405-31420Article in journal (Refereed) Published
Abstract [en]

Through the lens of social identity theory, this work aims to investigate the impact of servant leadership on employee resilience during the COVID-19 pandemic and to explore their underlying mechanisms through two types of social identity: organizational identification and professional identity. To test our hypotheses, an online survey was conducted via a large number of 703 employees working in public organizations in southwest China. Results yielded from the structural equation modeling analysis via AMOS (24.0) indicated that the effect of servant leadership on employee resilience was fully mediated by organizational identification and professional identity, respectively. Besides, the association between servant leadership and employee resilience was sequentially mediated from organizational identification to professional identity, and from professional identity to organizational identification. This study provides the first evidence of the predictive effect of servant leadership on employee resilience through organizational identification and professional identity, highlighting the significance of social identity for building and maintaining employees' resilience in coping with challenges posed by COVID-19.

Place, publisher, year, edition, pages
Springer, 2023. Vol. 42, no 35, p. 31405-31420
Keywords [en]
Servant leadership, Organizational identification, Professional identity, Employee resilience, Public organizations
National Category
Psychology
Research subject
Social Sciences, Psychology
Identifiers
URN: urn:nbn:se:lnu:diva-118839DOI: 10.1007/s12144-022-04138-zISI: 000903186600001PubMedID: 36573181Scopus ID: 2-s2.0-85144710724OAI: oai:DiVA.org:lnu-118839DiVA, id: diva2:1732086
Available from: 2023-01-30 Created: 2023-01-30 Last updated: 2024-01-18Bibliographically approved

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Harmat, László

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CiteExportLink to record
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