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AI-Augmented Human Resource Decision Making: Predictive Talent Analytics, Employee Well-Being, and Organizational Agility in the Digital Workplace

RajeshAssistant Professor; Department of Commerce, IG. GOVT. COLLEGE TOHANA (HARYANA) INDIAShivani NaikAssistant Professor; Department of Management, Kirit P Mehta School of Law, NMIMS Deemed to be University, MumbaiPuja BaliarsinghResearch Scholar; Department of Business administration, Utkal UniversityGyanesh Kumar SinhaProfessor; Department of Management; Operations and Analytics; NIIT University, RajasthanSunita PacharIsrailova Ilona KhalitovnaTashkent state medical university; Associate Professor; First department of Uzbek and foreign languagesJitendra Bindeshwari PrasadPhD Research Scholar, Department of Commerce and Business Management, The Maharaja Sayajirao University of Baroda
2026
ABI

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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