Sense of belonging and organizational commitment: prediction of well-being

Descripción del Articulo

This following study aimed to determine the discriminant validity of Sense of Belonging and the different types of organizational commitment, and analyse the relationship and the predictive capacity of these constructs for subjective and psychological well-being. 354 people completed surveys measuri...

Descripción completa

Detalles Bibliográficos
Autores: Dávila de León, Celeste, Jiménez García, Gemma
Formato: artículo
Fecha de Publicación:2014
Institución:Pontificia Universidad Católica del Perú
Repositorio:Revistas - Pontificia Universidad Católica del Perú
Lenguaje:español
OAI Identifier:oai:revistaspuc:article/10950
Enlace del recurso:http://revistas.pucp.edu.pe/index.php/psicologia/article/view/10950
Nivel de acceso:acceso abierto
Materia:Organizational commitment
sense of belonging
organizational identification
well-being
sentido de pertenencia
identificación organizacional
compromiso organizacional
bienestar
Descripción
Sumario:This following study aimed to determine the discriminant validity of Sense of Belonging and the different types of organizational commitment, and analyse the relationship and the predictive capacity of these constructs for subjective and psychological well-being. 354 people completed surveys measuring the constructs described. The results showed that Sense of Belonging and the different types of organizational commitment are different constructs, and they have different relationships the diverse indicators of well-being according to the type of employment. The affective commitment was the most relevant predictor in entry level employees, and Sense of Belonging was the only predictor in employees with leadership positions.
Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).