This study focuses on the design and implementation of Human Resource Information System (HRIS) that combines core HR functions and works at strategic level in planning the workforce. The study explores the increasing requirement to make data-oriented decisions within the HR, specifically, in the workforces forecasting, skill gap analysis, and succession planning. While, traditionally, HRIS platforms have served mainly administrative purposes, they are now incorporating predictive tools, which increase HR professionals’ capacity to keep the talent management in line with the organizational goals. A Design Science Research (DSR) methodology was employed on the research, which involved the development of a modular HRIS which consists of the use of the cloud-based technology, predictive analytics, and workforce planning tools. The system was tested for usability, functional performance and its strategic decision support prowess. The results showed the HRIS was excellent in core HR functionality that allowed for 100% functional testing success and 95% accuracy in workforce forecasting. The system also obtained high ratings of user satisfaction, where 75% of the respondents answered ‘very satisfied’. This research adds to the existing pool of knowledge on integration of HRIS and strategic workforce planning and identifies the possibility for small organizations to leverage from cost-effective and scalable HRIS solutions. The following research prospects should include long-term system effectiveness, integration with the broader enterprise systems, and AI and machine learning applications for increasing predictive capability.
Shukla et al. (Mon,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: