Explaining Emotional Labor’s Relationships with Emotional Exhaustion and Life Satisfaction: Moderating Role of Perceived Autonomy

This study assessed the extent to which two kinds of emotional labor (surface and deep acting) can lead to emotional exhaustion, reducing one’s overall life satisfaction. Based on Self-Determination theory, the importance of perceived autonomy was also studied in relation to how it moderates the rel...

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Autores:
Gopalan, Neena; University of Central Missouri Department of Psychological Sciences
Culbertson, Satoris S.; Kansas State University Department of Psychology
Leiva, Pedro Ignacio; Facultad de Economía y Negocios; Universidad de Chile
Tipo de recurso:
Article of journal
Fecha de publicación:
2012
Institución:
Pontificia Universidad Javeriana
Repositorio:
Repositorio Universidad Javeriana
Idioma:
spa
OAI Identifier:
oai:repository.javeriana.edu.co:10554/32565
Acceso en línea:
http://revistas.javeriana.edu.co/index.php/revPsycho/article/view/1870
http://hdl.handle.net/10554/32565
Palabra clave:
Labor emocional, exhaustividad emocional, satisfacción de vida, Estados Unidos.
Emotional Labor, Emotional Exhaustion, Life Satisfaction, United States.
Rights
openAccess
License
Atribución-NoComercial-SinDerivadas 4.0 Internacional
Description
Summary:This study assessed the extent to which two kinds of emotional labor (surface and deep acting) can lead to emotional exhaustion, reducing one’s overall life satisfaction. Based on Self-Determination theory, the importance of perceived autonomy was also studied in relation to how it moderates the relationship between emotional labor and emotional exhaustion. Data collected online from 241 staff employed at a university in central United States revealed that the relationship between surface acting and emotional exhaustion was stronger among people with lower perception of autonomy, which had an impact on overall life satisfaction. No significant relationship between deep acting and emotional exhaustion was found. Future directions should include studying the model on other samples and using a longitudinal design.