IDEAS home Printed from https://ideas.repec.org/a/igg/jabim0/v16y2025i1p1-18.html
   My bibliography  Save this article

Artificial Intelligence (AI) Adoption in HR Management: Analyzing Challenges in Kazakhstan Corporate Projects

Author

Listed:
  • Rajasekhara Mouly Potluri

    (Kazakh-British Technical University, Kazakhstan)

  • Diana Serikbay

    (Kazakh-British Technical University, Kazakhstan)

Abstract

The research seeks to explore and analyze the various challenges associated with adopting artificial intelligence (AI) within the functional domains of human resource management, with a particular focus on its implementation in corporate sector projects across Kazakhstan. A self-administered three-part questionnaire collected data from human resources (HR) professionals in Kazakhstan. Data were processed using Microsoft Excel and R Studio R Language. McDonald's omega and Bartlett's tests ensured the questionnaire's reliability and validity for total respondents. A quantitative approach utilizing structural equation modeling with SmartPLS 3.0 was applied to analyze and assess complex theoretical relationships among variables in the selected hypotheses. The significant findings are that challenges like cultural resistance, investment costs, and skill gaps substantially influenced the implementation of AI in the HR domain of Kazakhstan companies, except for the integration of other systems of the organization. The study was limited to four HR sectors in Kazakhstan, with inconsistent data collection.

Suggested Citation

  • Rajasekhara Mouly Potluri & Diana Serikbay, 2025. "Artificial Intelligence (AI) Adoption in HR Management: Analyzing Challenges in Kazakhstan Corporate Projects," International Journal of Asian Business and Information Management (IJABIM), IGI Global, vol. 16(1), pages 1-18, January.
    • Handle: RePEc:igg:jabim0:v:16:y:2025:i:1:p:1-18
    as

    Download full text from publisher

    File URL: https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJABIM.376012
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. repec:plo:pone00:0223767 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    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:igg:jabim0:v:16:y:2025:i:1:p:1-18. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    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.