The Integration of Artificial Intelligence in Human Resource Management in the U.S. Retail Sector

Abstract

This paper addresses the challenge of integrating Artificial Intelligence (AI) into human resource management (HRM) for the retail sector with the view of addressing challenges of high employee turnover, skill development as well as performance monitoring. Methodology: Existing literature was subjected to a thematic analysis to identify key themes and insights about AI’s role in recruitment, employee motivation, and performance evaluation. Key Findings: AI paces up recruitment speed, personalizes training through adaptive learning and performs performance tracking in real-time. But there are ethical problems, such as algorithmic bias and transparency. Implications: AI brings transformative tools for retail HR management processes and employee engagement. The key to inclusivity and trust is balanced implementation and ethical oversight. Future Directions: Future research needs to address long term workforce impacts and frameworks for the ethical challenges in retail HRM.