Artificial Intelligence And Automation Technologies And Their Effect On Human Resource Management Practices In It Organizations Of Chennai

Artificial Intelligence And Automation Technologies And Their Effect On Human Resource Management Practices In It Organizations Of Chennai S Durairaj Research Scholar (Ph.D), Department Of Business Administration, School Of Management Studies, Vels Institute Of Science, Technology And Advanced Studies, Pallavaram, Chennai-600117 V Vetrivel Assistant Professor And Research Supervisor, Department Of Business Administration, School Of Management Studies, Vels Institute Of Science, Technology And Advanced Studies, Pallavaram, Chennai-600117

Artificial Intelligence (AI) and automation have emerged as transformative forces in modern Human Resource Management (HRM), significantly altering the way IT organizations manage recruitment, onboarding, performance appraisal, employee development, HR analytics, and administrative operations. The present study examines the influence of AI and automation technologies on HRM practices in IT organizations across Chennai. Eight independent variables—AI-based recruitment and candidate screening, automated onboarding processes, AIdriven performance appraisals, AI-powered learning and development tools, AI-based HR analytics, automated attendance and payroll systems, AI-enabled employee engagement platforms, and HRIS automation—were analyzed to determine their effect on employee satisfaction with HR services, the dependent variable. A descriptive research design was adopted, and primary data were collected from 423 IT employees across leading IT zones in Chennai. The dependent variable was measured using a seven-statement Likert scale assessing satisfaction, responsiveness, efficiency, fairness, communication, accessibility, and trust toward HR services. Statistical tools such as descriptive analysis, Pearson correlation, and multiple regression were applied to examine relationships and predictive influences. Findings revealed strong and positive correlations between AI-driven HR practices and employee satisfaction. Regression analysis showed that 88.6% of the variation in satisfaction is explained by AI-based HR systems. HR analytics, AI-driven appraisal systems, and HRIS integration emerged as the strongest predictors.
04 13 2026 10.25258/ijddt.16.8s.83 https://impactfactor.org/PDF/IJDDT/16/IJDDT,Vol16,Issue8s,Article83.pdf https://impactfactor.org/PDF/IJDDT/16/IJDDT,Vol16,Issue8s,Article83.pdf