Artificial Intelligence in Human Resource Information Systems: Measurement and Validation

Abstract

The rapidly increasing applications of artificial intelligence (AI) within Human Resource Information Systems (HRIS) is revolutionizing human resource management, transforming traditional practices, and enabling enhanced decision-making, efficiency, and strategic alignment. However, the extent of AI integration and its implications remain underexplored. This research addresses this gap by developing and validating an AI-enabled HRIS reflectively measured construct. Through a rigorous methodology encompassing qualitative interviews, survey-based quantitative analyses, and scale validation procedures, a 16-item scale was constructed to assess AI's role across various human resources functions. Findings demonstrate the scale is reliable and valid, providing a comprehensive tool for measuring AI integration in HRIS. Theoretical contributions include extending the technology acceptance models to the context of artificial intelligence in human resources management, while practical implications suggest pathways for organizations to leverage artificial intelligence technologies within HRIS optimally. This research bridges a critical gap in HRIS literature, offering a standardized measure of artificial intelligence integration and highlighting its strategic importance in modern human resource management.