AI-enabled HR analytics: effective HR practices and organisational sustainability using predictive decision making

Om Prakash Yadav, Dharm Bir Singh, Richa Srivastava, Priyadarshani Singh, Ruchi Rayat, Shubhash Kumar Verma and Akash Kumar Srivastava

International Journal of Business and Systems Research, 2025, vol. 19, issue 3, 271-294

Abstract: This research investigates the influence of AI-driven HR analytics on predictive decision making and its consequential implications for organisational sustainability and the efficacy of HR practices within the service industry. The methodology employed is both descriptive and cross-sectional, leveraging a survey instrument to gather data from 476 HR managers and executives affiliated with service sector organisations in India. The survey comprised 39 scaled items designed to evaluate nine variables pertinent to AI-enabled HR analytics and anticipatory HRM decision-making. The results indicate that virtual interviews, onboarding automation, goal setting and tracking, adaptive learning, and retention prediction positively and statistically significantly impact AI-enabled HR analytics in the service sector. Furthermore, it has been demonstrated that AI-enabled HR analytics possesses a considerable positive effect on anticipatory HRM decision making. In addition, anticipatory HRM decision making is shown to significantly bolster organisational sustainability and the efficiency of HR practices in the service sector.

Keywords: AI-enabled HR analytics; organisational sustainability; predictive decision making; effective HR practices; virtual interviews. (search for similar items in EconPapers)
Date: 2025
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