The Happy-Productive Worker Model and Beyond: Patterns of Wellbeing and Performance at Work
| Autor: | Núria Tordera, José M. Peiró, Isabel Rodríguez-Molina, Malgorzata W. Kozusznik |
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| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Adult
Employment Male IMPACT Health Toxicology and Mutagenesis Happiness lcsh:Medicine 050109 social psychology Environmental Sciences & Ecology Efficiency Disease cluster Logistic regression GOALS Eudaimonia ORGANIZATIONAL CITIZENSHIP Article Job Satisfaction RATINGS happy-productive worker 0502 economics and business Covariate Humans 0501 psychology and cognitive sciences occupational wellbeing Work Performance Public Environmental & Occupational Health HAPPINESS Science & Technology 05 social sciences lcsh:R Public Health Environmental and Occupational Health Middle Aged JOB-SATISFACTION Work (electrical) Spain YOUNG Female EMPLOYEES HEALTH Psychology Social psychology Life Sciences & Biomedicine 050203 business & management Environmental Sciences performance |
| Zdroj: | International Journal of Environmental Research and Public Health, Vol 16, Iss 3, p 479 (2019) International Journal of Environmental Research and Public Health Volume 16 Issue 3 |
| ISSN: | 1660-4601 |
| Popis: | According to the happy-productive worker thesis (HPWT), &ldquo happy&rdquo workers perform better than &ldquo less happy&rdquo ones. This study aimed to explore the different patterns of relationships between performance and wellbeing, synergistic (i.e., unhappy-unproductive and happy-productive) and antagonistic (i.e., happy-unproductive and unhappy-productive), taking into account different operationalizations of wellbeing (i.e., hedonic vs. eudaimonic) and performance (i.e., self-rated vs. supervisors&rsquo ratings). It also explored different demographic variables as antecedents of these patterns. We applied two-step cluster analysis to the data of 1647 employees. The results indicate four different patterns&mdash happy-productive, unhappy-unproductive, happy-unproductive, and unhappy-productive&mdash when performance is self-assessed, and three when it is assessed by supervisors. On average, over half of the respondents are unhappy-productive or happy-unproductive. We used multidimensional logistic regression to explain cluster membership based on demographic covariates. This study addresses the limitations of the HPWT by including both the hedonic and eudaimonic aspects of wellbeing and considering different dimensions and sources of evaluation. The &ldquo antagonistic&rdquo patterns identify employees with profiles not explicitly considered by the HPWT. |
| Databáze: | OpenAIRE |
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