The Impact of Artificial Intelligence-Based Insights on Sustainable Human Resource Management Performance with the Mediating Role of Optimizing Human Resource Management Practices
Keywords:
Artificial Intelligence, Artificial Intelligence-Based Insights, Human Resource Management, Sustainable Performance, Human Resource Management PracticesAbstract
The objective of this study was to examine the effect of artificial intelligence-based insights on sustainable human resource management performance, considering the mediating role of optimizing human resource management practices. This applied research employed a descriptive-correlational design. The statistical population consisted of employees of Tehran Azad Universities, and 254 participants were selected using a staged cluster random sampling method. Data were collected through a standardized questionnaire, with face, content, and construct validity confirmed; reliability was ensured using Cronbach’s alpha and composite reliability. Data analysis was performed through structural equation modeling and path analysis using SmartPLS and SPSS software. AI-based insights had a significant direct effect on sustainable HRM performance (β = 0.509, t = 16.559). Mediation analysis indicated that 45 percent of the total effect of AI-based insights on sustainable HRM performance was transmitted through the optimization of HRM practices, confirming the mediating role. The R2 values were 0.677 for sustainable HRM performance and 0.230 for HRM practice optimization. All Q2 values were positive, indicating acceptable predictive relevance. The findings demonstrate that AI-driven insights substantially enhance sustainable HRM performance, particularly when HRM practices are optimized to effectively utilize data-driven capabilities. The study emphasizes the need for structured, technology-enabled HRM processes to fully realize sustainability outcomes.
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