Generative AI Adoption in Human Resource Management: Impact on Employee Performance and Well being
DOI:
https://doi.org/10.55544/sjmars.5.3.6Keywords:
Generative AI, Human Resource Management, Employee Performance, Employee Well-being, HR Analytics, Digital Transformation, Workplace InnovationAbstract
The rapid integration of Generative Artificial Intelligence (GenAI) into Human Resource Management (HRM) is transforming organizational practices, employee performance, and workplace well-being. This study examines the adoption of GenAI tools in HR functions such as recruitment, training, performance management, and employee engagement, and evaluates their impact on employee outcomes. Using a mixed-method approach combining survey data and secondary literature, the study finds that GenAI enhances employee performance by improving task efficiency, decision-making accuracy, and personalized learning opportunities. Additionally, GenAI contributes positively to employee well-being by reducing workload, minimizing repetitive tasks, and supporting work-life balance through intelligent automation. However, challenges such as ethical concerns, job insecurity, data privacy risks, and skill gaps were also identified as potential barriers to effective adoption. The findings suggest that while GenAI offers significant opportunities for HR transformation, its success depends on responsible implementation, continuous employee training, and supportive organizational policies. The study concludes that a balanced approach integrating technological innovation with human-centric strategies is essential to maximize the benefits of GenAI in HRM.
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