Artificial intelligence based human resource analytics and sustainability driven employee job performance through the mediating role of employee engagement in the information technology sector

The use of Artificial Intelligence in Human Resource Management has changed how organizations analyse workforce information and support HR decision-making, creating new opportunities to strengthen sustainable employee performance. This study examines the relationship between Artificial Intelligence-Based Human Resource Analytics (AI-HRA) and Sustainability-Driven Employee Job Performance (SDEJP), while also investigating the mediating role of Employee Engagement among employees in the Information Technology industry. The study is primarily grounded in Job Demands-Resources (JD-R) Theory, while the Resource-Based View (RBV) provides a complementary perspective by viewing AI-HRA as an organizational capability. Data were collected from 350 IT employees, of whom 69.4% were male ( n = 243) and 30.6% were female ( n = 107), and analysed using Partial Least Squares Structural Equation Modelling (PLS-SEM) with SmartPLS 3. The findings indicate significant positive relationships between AI-HRA and both Employee Engagement and SDEJP. Employee Engagement also has a significant positive relationship with SDEJP and partially mediates the relationship between AI-HRA and SDEJP. The measurement and structural models demonstrate acceptable levels of reliability, validity, predictive relevance, and model fit. The present research contributes to the growing body of evidence on artificial intelligence-enhanced human resource management by linking an organizational AI-HRA capability with employee-level engagement and sustainable job performance. In practice, the results emphasize the significance of adopting AI-based human resource analytics alongside employee engagement interventions for sustainable employee performance and interpreted as positive associations within the sampled context rather than as evidence that AI-HRA automatically improves employee outcomes.