This study used Structural Equation Modeling (SEM), a multivariate statistical technique that combined factor analysis and multiple regression in analyzing structural relationships, to establish the best-fit structural model for job performance. 400 DENR employees selected using proportionate stratified random sampling throughout Region XI participated in the survey. Data analyses yielded these results: the statistical mean was high in all the variables. Pearson r revealed a significant and positive relationship between organizational change, organizational culture, job satisfaction (exogenous variables), and job performance (endogenous variable). Multiple regression analysis uncovered the influence of the exogenous variables on job performance at 66.3%. Moreover, SEM revealed the direct effect of organizational culture on job performance. On the other hand, the mediating role of organizational culture resulted in the indirect effect of job satisfaction and organizational change on job performance. Also, the SEM model showed that the appropriate manifest variables for predicting job performance are mission (for organizational culture), contingent rewards and fringe benefits, nature of work, a climate of change (for job satisfaction), and readiness for change (for an organizational change). These findings have implications for leadership in government agencies vis-à-vis employees’ outstanding job performance. KEYWORDS: public administration, organizational culture, organizational change, job satisfaction, job performance, structural equation model, DENR employees
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.