International Scientific Journal of Engineering and Management

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ISSN: 2583-6129

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A Study on Impact of AI-Driven Human Resource Management on HR Effectiveness

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Published 27 April 2026
Updated 27 April 2026

A Study on Impact of AI-Driven Human Resource Management on HR Effectiveness

 

 

Mr. Vasanth S

Student of II MBA, Department of Management Studies, Nehru Institute of Technology, Coimbatore, Tamil Nadu

Mr. Thirumoorthi B

 Associate Professor(SG), Department of Management Studies, Nehru Institute of Technology, Coimbatore, Tamil Nadu

 

 

 

ABSTRACT:The research work will focus on assessing the influence of AI-driven HRM practices on HR effectiveness. The research will be aimed at examining the effect of the use of artificial intelligence in HRM practices in areas such as recruitment and selection, training and development, performance evaluation, and employee engagement. The research will focus on issues such as employee motivation, job satisfaction, quality of decision making, and efficiency to evaluate the efficiency of AI use in HRM. The information needed for this research will be obtained using a questionnaire-based method supplemented with information from various secondary sources, including books, reports, and articles. The information obtained will be analyzed using statistical tools such as percentage, mean, correlation, and regression. Based on the information gathered, the research will provide insight into the extent to which the use of AI-driven HRM practices improves HRM efficiency, reduces mistakes, and increases decision accuracy. It will also emphasize the importance of training employees and ensuring technological preparedness to effectively implement the process. The research will also identify potential barriers associated with high costs, poor technical know-how, and employee resistance.KEYWORDS – Artificial Intelligence (AI), Human Resource Management (HRM), HR Effectiveness, AI-Driven HR Practices, Recruitment and Selection, Training and Development, Performance Appraisal, Employee Engagement, Employee Motivation, Job Satisfaction, Decision-Making Quality, Process Automation, Organizational Efficiency, Correlation Analysis, Regression Analysis.

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