Integrating Sustainability into Ai-Driven HRM Practices: Examining Employee Engagement and Organizational Performance in the IT Industry

Abstract

The aim of this research work is to examine how Artificial Intelligence (AI) enables sustainability in Human Resource Management (HRM) activities and its resulting impact on the performance of employees in Indian IT industry. This study uses the Triple Bottom Line (TLB) model and Person- Organization (P-O) Fit Theory to explore the effects of AI-enabled HRM that is economic, environmental and socially sustainable on employee engagement and performance. For this study, Data was taken from 640 employees from 20 It companies situated in 10 major cities in India. The results of the study shows that AI-based HRM interventions increase employee performance, with employee engagement serving as significant Mediator. Further, the study found that conscientiousness moderates the relationship between AI-enhanced HRM practices and employee engagement: employees who are more conscientious are more inclined to positively react to AI-enhanced HRM practices. This research adds to the theoretical foun