Structural Equation Model on Workplace Well-Being of Workers in the Contexts of Self-Efficacy at Work, Organizational Citizenship Behavior, and Ethical Leadership of Supervisors

Alex C. Diambrang, Jr.
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Alex C. Diambrang, Jr.: Faculty of the Professional Schools, The University of Mindanao, Davao City

International Journal of Research and Innovation in Social Science, 2024, vol. 8, issue 11, 1595-1648

Abstract: This quantitative non-experimental study determines the best-fit structural model for the workplace well-being of workers in the contexts of self-efficacy at work, organizational citizenship behavior, and ethical leadership of supervisors. The study’s respondents were four hundred employees selected through stratified random sampling from a mining company. They responded to a standardized 86-item, four-part survey questionnaire. The descriptive statistics show high levels of self-efficacy, organizational citizenship behavior, ethical leadership, and workplace well-being. Significant Correlation tests discovered a significant and positive relationship between the independent and dependent variables. Through the R2 and F-value, the regression analysis showed how well the explanatory variables predicted workplace well-being. The model showed that sealf-efficacy directly affected workplace well-being. Organizational citizenship behavior had an indirect impact on workplace well-being. Ethical leadership had both direct and indirect effects on workplace well-being. The structural equation model revealed the relevant independent variables and their respective indicators. These are latent variables and observed variables left in the model after SEM: social self-efficacy and occupational self-efficacy for self-efficacy at work, civic virtue, and helping behavior for organizational citizenship behavior, fairness, sustainability concerns, ethical guidance, and integrity for ethical leadership, and work satisfaction and respect for the employee for workplace well-being. This study’s findings apply to workplace conditions in the mining industry. The administrators ought to use these results as yardsticks to achieve workplace well-being.

Date: 2024
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