Authentic leadership, perceived insider status, error management climate, and employee resilience: A cross-level study
Employee resilience is of great significance for organizations to resist pressures, overcome crises, and achieve sustainable development. However, existing research has largely failed to explore its situational triggers. Drawing on social information processing theory and social exchange theory, a c...
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Published in | Frontiers in psychology Vol. 13; p. 938878 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Frontiers Media S.A
09.09.2022
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Subjects | |
Online Access | Get full text |
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Summary: | Employee resilience is of great significance for organizations to resist pressures, overcome crises, and achieve sustainable development. However, existing research has largely failed to explore its situational triggers. Drawing on social information processing theory and social exchange theory, a cross-level study was conducted to theorize the underlying mechanisms through which authentic leadership facilitates employee resilience. Based on a two-wave time-lagged design, the data were obtained from 85 team leaders and 417 employees in China. The results of the cross-level model showed that authentic leadership was positively related to employee resilience. Perceived insider status and error management climate both played a partial mediating role in linking authentic leadership and employee resilience. Error management climate positively moderated the relationship between perceived insider status and employee resilience. This paper not only contributes to revealing the cross-level effect of authentic leadership on employee resilience but also provides some managerial practices. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 This article was submitted to Organizational Psychology, a section of the journal Frontiers in Psychology Edited by: Katarzyna Piwowar-Sulej, Wroclaw University of Economics, Poland Reviewed by: Saeed Siyal, Beijing University of Chemical Technology, China; Guanglei Zhang, Wuhan University of Technology, China |
ISSN: | 1664-1078 1664-1078 |
DOI: | 10.3389/fpsyg.2022.938878 |