Relationship Between Social Support and Burnout Dimensions in Middle and Senior Managers of the Manufacturing Industry in Ciudad Juárez View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2018

AUTHORS

Sonia G. Valadez-Torres , Aidé Aracely Maldonado-Macías , Rocío Camacho-Alamilla , Liliana Avelar-Sosa

ABSTRACT

Empirical research carried out in many contexts has found that social support is an important element to reduce the effects of burnout. In this chapter, we analyze the relationships between social support and the three dimensions of burnout syndrome (BS) (emotional exhaustion, cynicism, and professional efficacy). The research was carried out in six manufacturing companies from Ciudad Juárez, Mexico, and the sample included 361 middle and senior managers from different departments. Two questionnaires were administered in the form of a single survey: The Maslach Burnout Inventory–General Survey and the Job Content Questionnaire (JCQ). The former analyzed the three burnout dimensions, whereas the latter studied social support. Relationships between latent variables were analyzed using the structural equation modeling technique (SEM). Results showed a statistically direct relationship between social support and the three burnout dimensions. On one hand, the effects of social support on emotional exhaustion and cynicism are negative. That is, both dimensions diminish when workers perceive enough support from their supervisors and coworkers. On the other hand, the relationship between social support and professional efficacy is positive, meaning that efficiency at work increases when workers perceive enough support from their work team. As conclusions, manufacturing companies must invest in techniques, such as engagement, empowerment, resilience, and social support, to ensure employee motivation and integration. Such strategies impact the wellbeing of companies by reducing burnout effects. More... »

PAGES

409-430

Book

TITLE

New Perspectives on Applied Industrial Tools and Techniques

ISBN

978-3-319-56870-6
978-3-319-56871-3

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-56871-3_20

DOI

http://dx.doi.org/10.1007/978-3-319-56871-3_20

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1086066748


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