IDEAS home Printed from https://ideas.repec.org/a/alk/jbms00/v7y2025i1id8737.html

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

Author

Listed:
  • Rezwanul Islam Rezvi

    (MBA, Devry University, Columbus, Ohio, USA)

  • Kazi Obaidur Rahman

    (MBA (Business Analytics) Gannon University, Erie, Pennsylvania, USA)

  • Farhan Nasrullah

    (MBA (Business Analytics) Gannon University, Erie, Pennsylvania, USA)

  • Md Samirul Islam

    (MBA in MIS (Continue), International American University, Los Angels, USA)

  • Mehedi Hasan

    (MBA (Accounting), American International University Bangladesh (AIUB), Dhaka, Bangladesh)

  • Nayeema Nusrat

    (MBA (AIS), Jagannath University, Dhaka, Bangladesh)

  • Shamina Sharmin Jishan

    (MBS (Accounting), National University, Dhaka, Bangladesh)

  • Shoaib Ahmed

    (MBA (Finance), University of Education, Lahore, Pakistan)

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.

Suggested Citation

  • Rezwanul Islam Rezvi & Kazi Obaidur Rahman & Farhan Nasrullah & Md Samirul Islam & Mehedi Hasan & Nayeema Nusrat & Shamina Sharmin Jishan & Shoaib Ahmed, 2025. "The Integration of Artificial Intelligence in Human Resource Management in the U.S. Retail Sector," Journal of Business and Management Studies, Al-Kindi Center for Research and Development, vol. 7(1), pages 273-278, January.
    • Handle: RePEc:alk:jbms00:v:7:y:2025:i:1:id:8737
    DOI: 10.32996/jbms.2025.7.1.22
    as

    Download full text from publisher

    File URL: https://al-kindipublisher.com/index.php/jbms/article/view/8737
    File Function: Abstract page
    Download Restriction: no
    File URL: https://al-kindipublisher.com/index.php/jbms/article/download/8737/7515
    File Function: Full text
    Download Restriction: no
    File URL: https://libkey.io/10.32996/jbms.2025.7.1.22?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:alk:jbms00:v:7:y:2025:i:1:id:8737. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Al-Kindi Center for Research and Development (email available below). General contact details of provider: https://al-kindipublisher.com/index.php/jbms .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.