A STUDY ON IMPACT OF AI-ENABLED HR PRACTICES ON JOB SATISFACTION AND EMPLOYEE RETENTION
Mr.K.Sivakumar, Assistant Professor (Sl.Gr)
Department of Management Studies. Kangeyam Institute of Technology.
Nathakadaiyur.
Email: Sivakumar.k.mba@kitech.edu.in
Ms.M.Sangavi., II MBA Student
Department of Management Studies. Kangeyam Institute of Technology.
Nathakadaiyur.
ABSTRACT
Artificial Intelligence (AI) is transforming Human Resource Management (HRM) by enhancing decision-making, automating routine processes, and enabling data-driven people management strategies. This study examines the impact of AI-enabled HR practices on job satisfaction and employee retention. AI applications in recruitment, performance appraisal, employee engagement analytics, learning and development, and predictive retention modeling are increasingly being adopted by organizations to improve efficiency and employee experience. The research investigates how these AI-driven HR interventions influence employees’ perceptions of fairness, transparency, career growth, and workplace support, which in turn affect their job satisfaction levels and intention to stay.
The study adopts a quantitative research design using structured questionnaires administered to employees across diverse industries. Statistical tools such as correlation and regression analysis are employed to test the relationship between AI-enabled HR practices, job satisfaction, and employee retention. The findings indicate that effective implementation of AI-driven HR systems significantly enhances job satisfaction by ensuring objective performance evaluation, personalized learning opportunities, and timely feedback mechanisms. Furthermore, improved job satisfaction mediates the relationship between AI-enabled HR practices and employee retention The study contributes to the emerging literature on digital HR transformation by providing empirical evidence on the strategic role of AI in strengthening employee outcomes.
KEY WORDS:
Artificial Intelligence (AI); AI-enabled HR Practices; Digital HRM; Job Satisfaction; Employee Retention; HR Analytics; Workforce Engagement; Predictive Analytics; Organizational Commitment; Talent Management.
