AI-Augmented Human Resource Decision Making: Predictive Talent Analytics, Employee Well-Being, and Organizational Agility in the Digital Workplace
Litsenziya: cc-by
Annotatsiya
AI has revolutionized HR in many ways, providing data-driven insights for informed decision-making and optimizing workforce management. The processes through which AI-integrated HR practices improve organizational agility are, however, not fully understood. The study explores the linkages between, AI-Augmented Human Resource Decision Making, Predictive Talent Analytics, Employee Well-Being, and Organizational Agility in the digital workplace. A quantitative research design was used and 300 participants were recruited to examine the proposed relationships with descriptive statistics, correlation analysis, regression analysis, and bootstrap mediation analysis. The results showed that AI-Augmented Human Resource Decision Making had a strong and positive impact on Predictive Talent Analytics, which in turn positively affected Employee Well-Being and Organizational Agility. The findings showed significant mediation of the proposed relationships between the technological capabilities and the organizational capabilities of Competitive Advantage, Organizational Agility, and the proposed relationships between the organizational and employee capabilities of Competitive Advantage, Organizational Agility, and Customer Experience, with Employee Well-Being being the strongest mediator and Predictive Talent Analytics being another significant mediator. The results prove that the integration of AI in HR is more than just a technological change; it's about using predictive analytics to enhance the employee experience and organization's responsiveness. The study enriches the digital human resource management literature with an integrated framework that illuminates the ways in which AI-enabled human resource practices boost workforce resilience and corporate agility, and provides practical implications for organizations looking to improve sustainable competitive performance in a dynamic digital landscape.
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