Why Do Emotional Labor Strategies Differentially Predict Exhaustion? Comparing Psychological Effort, Authenticity, and Relational Mechanisms

DOI

Surface acting has repeatedly been found to harm employee well-being, but weak or inconsistent findings have been reported for deep acting. A theoretical explanation put forth by researchers to explain this is that opponent processes may be involved in deep acting. Accordingly, there are countering processes in place for deep acting, effectively yielding a weak or null relationship with indicators of strain or well-being. Although often cited, this claim has never been tested empirically. The current study addresses this question by exploring the relationship between deep acting and emotional exhaustion via 3 underlying mechanisms: (a) psychological effort, (b) feelings of authenticity, and (c) rewarding interactions. Specifically, we expected that although being effortful, deep acting also results in feelings of authenticity and rewarding interactions with customers. However, contrary to expectations, results from an experience-sampling study (involving 3 daily surveys over the course of 7 days) revealed that deep acting did not relate to any of these mechanisms, nor was it directly or indirectly related to emotional exhaustion. These findings challenge previous suggestions that there are countering processes in place for deep acting. In addition, analyses revealed significant indirect relationships of surface acting with emotional exhaustion that were mediated by psychological effort and felt authenticity. Theoretical and practical implications are discussed in the conclusion.

Identifier
DOI https://doi.org/10.34894/I44QZT
Related Identifier https://doi.org/10.1037/ocp0000179
Metadata Access https://dataverse.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34894/I44QZT
Provenance
Creator Huppertz, Anna V. ORCID logo; Hülsheger, Ute R. ORCID logo; Schreurs, Bert H. ORCID logo; De Calheiros Velozo, Joana ORCID logo
Publisher DataverseNL
Contributor Hülsheger, Ute R.; faculty data manager FPN
Publication Year 2021
Rights info:eu-repo/semantics/restrictedAccess
OpenAccess false
Contact Hülsheger, Ute R. (Maastricht University); faculty data manager FPN (Maastricht University)
Representation
Resource Type experimental data; Dataset
Format application/x-spss-sav
Size 109170
Version 1.0
Discipline Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Life Sciences; Social Sciences; Social and Behavioural Sciences; Soil Sciences