Ai-Driven Hr Practices As Drivers Of Employee Engagement And Performance In It Companies In Chennai
Published 2025-11-10
Keywords
- Artificial Intelligence, AI-Driven HR Practices, Employee Engagement, Employee Performance, IT Sector, Chennai
This work is licensed under a Creative Commons Attribution 4.0 International License.
Abstract
The increasing adoption of artificial intelligence (AI) in human resource management has transformed how organizations manage and develop their workforce, particularly in technology-driven industries. This study investigates the impact of AI-enabled HR practices on employee engagement and performance within Chennai's IT sector. A descriptive-analytical methodology was employed, gathering primary data from 83 IT employees via a structured questionnaire. The collected data were examined using reliability tests, Principal Factor Analysis, Pearson correlation, and regression analysis.
Principal Factor Analysis identified two main dimensions of AI-powered HR practices: AI-enabled talent and performance management, and AI-driven learning and employee support. The findings demonstrate that these AI-based practices positively influence both employee engagement and performance. Additionally, increased employee engagement was linked to better performance, underscoring its importance for improving work results. The study indicates that effectively implementing AI-powered HR practices, supported by appropriate human involvement and development, can foster an engaged and high-performing workforce. These findings are especially useful for IT organizations seeking to leverage AI-driven HR systems to improve employee engagement and performance.