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.

Sprache
Englisch

Erschienen in
Journal: Journal of Organizational Behavior ; ISSN: 1099-1379 ; Volume: 43 ; Year: 2021 ; Issue: 1 ; Pages: 112-124

Klassifikation
Management
Thema
deep acting
diary study
emotional labor toward coworkers
social support
state positive affect

Ereignis
Geistige Schöpfung
(wer)
Nesher Shoshan, Hadar
Venz, Laura
Ereignis
Veröffentlichung
(wer)
Wiley
(wo)
Hoboken, NJ
(wann)
2021

DOI
doi:10.1002/job.2555
Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Nesher Shoshan, Hadar
  • Venz, Laura
  • Wiley

Entstanden

  • 2021

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