Human resource information systems as a strategic enabler of efficient public service delivery: An empirical analysis of Tanzanian local government authorities

Issaya B. Hassanal

doi:10.51867/ajernet.7.1.41

Authors

Issaya B. Hassanal
hassanalisaya8@gmail.com
Tanzania Institute of Accountancy, Tanzania

Keywords:

Data-Driven Decision-Making, Human Resource Information Systems, Local Government Authorities, Organizational Performance, Recruitment and Retention, Service Delivery, Tanzania

Abstract

This study examines the role of Human Resource Information Systems in enhancing organizational performance and public service delivery within Tanzanian local government authorities. The study was done at Temeke Municipal Council in Dar es Salaam. Directed by the Resource-Based View theory, the study analyzes how system utilization influences staff performance in service delivery, the effectiveness of recruitment and retention strategies, and data-driven decision-making processes. The study assumes that weak system utilization and limited user competence constrain performance outcomes, while effective system use strengthens operational efficiency and strategic alignment. A quantitative research approach was adopted, using structured questionnaires administered to 86 employees. Data were analyzed using descriptive statistics and multiple regression analysis, with diagnostic tests confirming model reliability, validity, and statistical significance. The findings disclose that all three dimensions of Human Resource Information System utilization significantly affect organizational performance. Success in recruitment and retention emerged as the strongest predictor, followed by service delivery performance and data-driven decision-making. The results further indicate that improvements in work accuracy, recruitment efficiency, onboarding, and availability of reliable employee data enhance overall organizational effectiveness. The study contributes theoretically by emphasizing the Resource-Based View in a public-sector context and practically by providing evidence to support investment in system functionality, staff training, and analytics capabilities.

Dimensions

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