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Meta-analysis and Scientific Mapping of Well-being and Job Performance

Published online by Cambridge University Press:  27 October 2020

Oscar Iván Gutiérrez Open the ORCID record for Oscar Iván Gutiérrez [Opens in a new window] ,
Jean David Polo Open the ORCID record for Jean David Polo [Opens in a new window] ,
Milton José Zambrano Open the ORCID record for Milton José Zambrano [Opens in a new window]  and
Diana Carolina Molina Open the ORCID record for Diana Carolina Molina [Opens in a new window]
Oscar Iván Gutiérrez*
Affiliation:
Universidad del Norte (Colombia)
Jean David Polo
Affiliation:
Universidad del Norte (Colombia)
Milton José Zambrano
Affiliation:
Universidad del Norte (Colombia)
Diana Carolina Molina
Affiliation:
Corporación Universitaria Minuto de Dios Sede Barranquilla (Colombia)
*
Correspondence concerning this article should be addressed to Oscar Iván Gutiérrez Carvajal. Departamento de Psicología de la Universidad del Norte. km 8 Vía Puerto Colombia, Barranquilla (Colombia). E-mail: oscar.ivan.gutierrez@gmail.com
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Abstract

In this article, we present a meta-analysis and a scientific mapping about the relationship between different types of well-being and job performance. We followed The PRISMA statement for reporting systematic reviews and meta-analyses (Moher et al., 2009), and conduct the search in Web of Science, SCOPUS, Ebscohost, Proquest, and Jstor databases. We identified 43 studies from 1994 to early 2020 that represent 45 independent samples, 34,221 participants, and 77 correlations between four types of well-being and six of job performance. Meta-analysis results show that are different forms of relations between types and there is not only one form to explain the happy-productive worker hypothesis. The scientific mapping shows that there are seven clusters of topics about well-being and job performance in the Web of Science base articles: (I) Burnout and axiety, (II) Stress and depression, (III) Individual resources, (IV) Work context, (V) Work engagement and commitment, (VI) Justice, and (VII) Human resources practices. We organize the topics from each cluster in the different groups of variables of the contextual model of individual work, well-being and performance (van Veldhoven & Peccei, 2015) to explain their impact in well-being and job performance. We included the observations of our analysis and identified the future key directions for the field.

Keywords

well-beingjob performancemeta-analysisreviewscientific mapping
Type
Review Article
Information
The Spanish Journal of Psychology , Volume 23 , 2020 , e43
Copyright
© Universidad Complutense de Madrid and Colegio Oficial de Psicólogos de Madrid 2020

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Footnotes

Conflicts of Interest: None.

Funding Statement: This work was supported by the Fondo Nacional de Financiamiento para la Ciencia, la Tecnología e Innovación FCTEI del Sistema General de Regalías SGR y la Gobernación del Tolima (Grant 755/2017).

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