Analysis of Self-Efficacy, Work Motivation, Work Environment, and Teacher Job Satisfaction: Testing the Mediating Role of the Work Environment
Keywords:
Performance, Workload, Engagement, Organizational SupportAbstract
The performance of the Regional House of Representatives (DPRD) of Riau Province has attracted considerable public attention, as it is perceived to be suboptimal in carrying out its legislative, oversight, and representative functions, despite its strategic role in regional development. Individual factors such as engagement and structural factors such as workload are presumed to influence legislative performance; however, their effectiveness largely depends on the extent of organizational support provided. This study aims to analyze the influence of engagement and workload on the performance of DPRD Riau members, with organizational support positioned as a contextual variable. The research employs a quantitative approach using a survey design. The population consists of 65 members of the DPRD Riau for the 2024–2029 period, all of whom were included as the sample through a saturated sampling technique. Data were collected using a five-point Likert-scale questionnaire and analyzed through Partial Least Squares–Structural Equation Modeling (PLS-SEM) with SmartPLS software. The findings indicate that engagement has a positive and statistically significant effect on performance, with a large effect size. Workload also demonstrates a positive and significant effect as a performance driver. Organizational support emerges as the most dominant factor, exerting a very strong influence on performance. Furthermore, organizational support significantly strengthens the relationships between engagement and performance, as well as between workload and performance. The structural model demonstrates a high level of adequacy, with an R² value of 0.905, an SRMR of 0.030, and an NFI of 0.929, indicating strong model fit with the empirical data. This study concludes that improving the performance of the DPRD Riau is not solely determined by individual capacity, but also by the presence of a supportive organizational system capable of optimizing member engagement and proportionally managing workload.