Factor correlations for the WDQ.

<div> Happy-productive worker thesis (HPWT) research predicts four configurations depending on well-being and performance levels, one synergistic and three antagonists; however, there has been some discrepancy in the expected results of HPWT, as there are some inclusive results about the specific characteristics that lead to each one of the predicted groups. In this study, we face these discrepancies using a three-configuration model that is more realistic in the organizational context, and exploring how work characteristics, gender, and age can predict workers’ membership in such configurations. We performed multinomial logistic regressions using a sample of 504 Colombian workers and their supervisors from different economic sectors. The results indicated that different work characteristics are associated with the membership of workers in each group, and how this membership varies depending on gender and age group. Our findings offer new research and practice insights about the role of HPWT in HRM (human resources management). </div>

Publication Details

Journal
Figshare
Published
2025-03-06
DOI
https://doi.org/10.1371/journal.pone.0316656.s003
Primary Topic
Rice Cultivation and Yield Improvement
Type
article
Field-Weighted Citation Impact
0.00
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article

Factor correlations for the WDQ.

Figshare
Rice Cultivation and Yield Improvement
article

Factor correlations for the WDQ.

article en

Abstract

<div> Happy-productive worker thesis (HPWT) research predicts four configurations depending on well-being and performance levels, one synergistic and three antagonists; however, there has been some discrepancy in the expected results of HPWT, as there are some inclusive results about the specific characteristics that lead to each one of the predicted groups. In this study, we face these discrepancies using a three-configuration model that is more realistic in the organizational context, and exploring how work characteristics, gender, and age can predict workers’ membership in such configurations. We performed multinomial logistic regressions using a sample of 504 Colombian workers and their supervisors from different economic sectors. The results indicated that different work characteristics are associated with the membership of workers in each group, and how this membership varies depending on gender and age group. Our findings offer new research and practice insights about the role of HPWT in HRM (human resources management). </div>

Figshare
Gender equality
Openalex Percentile: Top 37%
Rice Cultivation and Yield Improvement
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