ARTIFICIAL INTELLIGENCE IN HUMAN RESOURCE MANAGEMENT AND ITS IMPACT ON EMPLOYEE PERFORMANCE

Abstract

Artificial Intelligence (AI) has emerged as an important technological innovation in Human Resource Management (HRM), transforming traditional HR practices such as recruitment, employee selection, performance evaluation, training, workforce planning and employee engagement. The application of AI enables organisations to automate routine HR activities, analyse large volumes of employee data and support managers in making faster and more informed decisions. The present study examines the role of Artificial Intelligence in Human Resource Management and its impact on employee performance. The study adopts a descriptive and analytical research design and collects primary data from 277 respondents through a structured questionnaire. The major dimensions considered for AI-enabled HRM are AI-enabled recruitment and selection, AI-enabled training and development, AI-based performance management, employee data analytics and AI-enabled employee engagement. Factor analysis is proposed to identify the underlying dimensions of AI adoption in HRM, while Structural Equation Modelling (SEM) using AMOS is proposed to examine the relationship between AI-enabled HRM practices and employee performance. The study is expected to demonstrate that effective implementation of AI in HRM can improve work efficiency, decision-making, productivity and employee performance, provided that organisations address issues related to transparency, privacy, employee acceptance and technological skills.