Integration of Strategic Performance Management Information System (SPMIS) in Local Government Unit Performance Management and Its Implications for Service Delivery

Abstract

The integration of automation in public sector management has become increasingly important in improving organizational efficiency, transparency, and accountability. In the Philippine public sector, the Civil Service Commission promotes the Strategic Performance Management System (SPMS) to ensure results-based performance evaluation in government institutions. As part of efforts to strengthen human resource management practices and advance PRIME-HRM maturity, the Local Government Unit of San Francisco, Agusan del Sur implemented the Strategic Performance Management Information System (SPMIS) to automate performance management processes. However, despite its implementation, limited empirical evidence exists regarding the extent to which automation influences the effectiveness of performance management within the LGU. This study therefore aimed to determine the influence of automation on the effectiveness of performance management in LGU-SFADS.
This study employed a descriptive–correlational research design using a structured survey questionnaire administered to 206 permanent and casual employees of the LGU. Data were analyzed using weighted mean, Pearson Product–Moment Correlation, and regression analysis. The findings revealed that the level of automation in the LGU’s performance management system is generally implemented to highly implemented in terms of system usage, accessibility of automated tools, and user competence. The results further indicated that performance management in LGU-SFADS is effective to highly effective in terms of efficiency, accuracy of records, and transparency. Regression analysis identified system usage, accessibility of automated tools, user competence or training, quality of decision-making, and cost-effectiveness as significant predictors of performance management effectiveness. The study concludes that automation contributes to improving performance management practices when supported by operational functionality and user capability. The findings provide evidence-based insights that may guide LGU management in enhancing automated performance management systems and strengthening service delivery.