The Integration of Artificial Intelligence in Human Resource Management in the U.S. Retail Sector
Open accessAbstract
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.
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AI has been introduced to the retail sector to improve recruitment and other HR areas.
“The AI has been introduced to the retail sector to improve the performance of recruitment and other HR areas [2].”
From Mitigating Bias in Retail AI Hiring Tools: A Human-Centered H-A-I-R-E Governance Framework for Low-Wage Hires (2026) · cites this paper as [2]
Cited by
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Chopra, Y., & Hashemi, S. (2026) · 2026 ASEE- NE Section Conference Proceedings · doi:10.18260/1-2--58593
- Authors
- Rezvi, R. I., Rahman, K. O., Nasrullah, F., Islam, M. S., Hasan, M., Nusrat, N., Jishan, S. S., & Ahmed, S.
- Affiliations
- DeVry University (US)
- Gannon University (US)
- American International University-Bangladesh (BD)
- Jagannath University (BD)
- National University Bangladesh (BD)
- Venue
- Journal of Business and Management Studies
- Published
- 2025-02-22
- Volume
- 7
- Issue
- 1
- Pages
- 273-278
- ISSN
- 2709-0876 (ISSN-L)
- OpenAlex
- W4407853169
- Cited by
- 0
- References
- 0
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- Locations
- Journal of Business and Management Studies (publishedVersion, cc-by-nc)
- Topics
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › AI and HR Technologies
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
- Keywords
- artificial intelligence, human resource management, retail trade, employee turnover, recruitment, employee motivation, performance evaluation (human resources), adaptive learning, skill development, algorithmic bias, algorithmic transparency, ethical oversight, employee engagement
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