Artikel
Daily deep acting toward coworkers: An examination of day‐specific antecedents and consequences
Emotional labor in coworker interactions is a prevalent phenomenon in everyday work. Yet, it is largely unknown whether it is also a relevant phenomenon, that is, whether emotional labor toward coworkers matters for employee daily work life. Addressing this question, we investigate day‐specific antecedents and consequences of coworker‐directed emotional labor, especially deep acting. We hypothesized that deep acting toward coworkers will be rewarded by coworkers providing emotional and task support and that this coworker support, in turn, will predict enhanced positive affect at the end of work. Further, we suggest that high morning positive affect enables employees to deep act toward their coworkers in the first place. During a 10‐workday diary study, 102 employees answered surveys on 618 days. Multilevel path analysis showed that morning positive affect predicted daily deep acting toward coworkers, which was positively related to emotional (but not task) support from coworkers. Emotional (but not task) support predicted higher end‐of‐work positive affect and mediated the relationship between deep acting and end‐of‐work positive affect. Findings highlight the importance of studying deep acting toward coworkers as part of a positive dynamic process that employees can experience at work. Our results bring along vital theoretical and practical implications.
- Language
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Englisch
- Bibliographic citation
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Journal: Journal of Organizational Behavior ; ISSN: 1099-1379 ; Volume: 43 ; Year: 2021 ; Issue: 1 ; Pages: 112-124
- Classification
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Management
- Subject
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deep acting
diary study
emotional labor toward coworkers
social support
state positive affect
- Event
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Geistige Schöpfung
- (who)
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Nesher Shoshan, Hadar
Venz, Laura
- Event
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Veröffentlichung
- (who)
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Wiley
- (where)
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Hoboken, NJ
- (when)
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2021
- DOI
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doi:10.1002/job.2555
- Handle
- Last update
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10.03.2025, 11:42 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Artikel
Associated
- Nesher Shoshan, Hadar
- Venz, Laura
- Wiley
Time of origin
- 2021
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