Integration of Artificial Intelligence in Human Resource Management Information Systems: Benefits and Challenges

Résumé

The study investigated integration of artificial intelligence in human resources management information systems, benefits and challenges. The research objectives are to examine the key benefits that artificial intelligence provides to Human Resource Management practices, and to identify the challenges associated with artificial intelligence adoption, and its broad implications for organizational efficiency. The technology acceptance theory was adopted for the study. Furthermore, the qualitative research design was utilized as data was collected through semi-structured interviews, and from magazines, journals and internet sources. The data collected are qualitative and were presented and discussed in the study. The finding reveals that the integration of AI into HRIS in HRM activities provides substantial benefits such as data storage, fast decision-making, data accuracy, speed, and objectivity in expediting HRM functions. AI system quickly processes and analyzes data efficiently, and provides timely decisions. Furthermore, AI-powered adaptation was found to be slow due to employee’s lack of expertise in the use of AI tools, and there was certain operational implication at the early stage of its integration. Based on the findings, the study recommends that change in strategic management should be allowed as it can serve as the cornerstone for successful AI integration. Effective communication within the organization should be in preference for AI adoption as to maximize its full potential enhancement for human resource capabilities and activities. Involvement of stakeholders in addressing human resource concerns, and gathering of more support to foster collaboration and acceptance of AI should be of great priority to human resource management.