IDEAS home Printed from https://ideas.repec.org/a/bjb/journl/v14y2025i6p133-135.html
   My bibliography  Save this article

Impact of Artificial Intelligence on Organizational Processes: Strategic Implications and HRM Challenges in the Automobile Industry

Author

Listed:
  • Pooja Khurana Anand.

    (Institute: Manglayatan University, Beswan, Aligarh, India)

  • Dr. Saurabh Kumar

    (Institute: Manglayatan University, Beswan, Aligarh, India)

Abstract

This comprehensive study investigates the integration of Artificial Intelligence (AI) into organizational processes, with a particular emphasis on Human Resource Management (HRM) challenges in the Indian automobile industry. AI technologies such as machine learning, automation, and predictive analytics are transforming traditional HR functions into strategic, data-driven mechanisms. The research employs a mixed-method approach, drawing primary data from six automobile companies (two each from domestic, commercial, and two-wheeler sectors), involving 120 HR professionals. The findings reveal the strategic benefits of AI including enhanced recruitment, targeted employee training, improved performance appraisal systems, and predictive retention strategies. The study also highlights key barriers such as ethical dilemmas, skill deficiencies, and infrastructural challenges. Empirical data are presented through structured tables, and sectoral comparisons reveal the maturity and readiness for AI adoption. The paper offers strategic recommendations for organizations to ethically and effectively integrate AI in HRM, contributing to both academic understanding and industry practice.

Suggested Citation

  • Pooja Khurana Anand. & Dr. Saurabh Kumar, 2025. "Impact of Artificial Intelligence on Organizational Processes: Strategic Implications and HRM Challenges in the Automobile Industry," International Journal of Latest Technology in Engineering, Management & Applied Science, International Journal of Latest Technology in Engineering, Management & Applied Science (IJLTEMAS), vol. 14(6), pages 133-135, June.
  • Handle: RePEc:bjb:journl:v:14:y:2025:i:6:p:133-135
    as

    Download full text from publisher

    File URL: https://www.ijltemas.in/DigitalLibrary/Vol.14Issue6/133-135.pdf
    Download Restriction: no

    File URL: https://www.ijltemas.in/papers/volume-14-issue-6/133-135.html
    Download Restriction: no
    ---><---

    More about this item

    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:bjb:journl:v:14:y:2025:i:6:p:133-135. 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: Dr. Pawan Verma (email available below). General contact details of provider: https://www.ijltemas.in/ .

    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.