IDEAS home Printed from https://ideas.repec.org/a/arb/journl/y2025i2p6-28.html

Artificial Intelligence for Human Resources Management Software

Author

Listed:
  • Branislava Yovich

    (University of National and World Economy)

Abstract

The article examines the impact of artificial intelligence (AI) on human resource management (HR), focusing on improvements in efficiency, automation and personalization of HR processes. The research used a qualitative approach, including a literature review and empirical analysis of specific cases from different regions. Benefits such as selection optimization, increased engagement and reduced bias were identified, as well as challenges such as cultural resistance, lack of skills and ethical issues. The article recommends a strategic approach to implementing AI to ensure sustainable development and maximize benefits for organizations.

Suggested Citation

  • Branislava Yovich, 2025. "Artificial Intelligence for Human Resources Management Software," HR and Technologies, Creative Space Association, issue 2, pages 6-28.
  • Handle: RePEc:arb:journl:y:2025:i:2:p:6-28
    as

    Download full text from publisher

    File URL: https://journal.cspace-ngo.com/arb/Issues/2025/2/1-Yovich-2025-1.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology
    • P24 - Political Economy and Comparative Economic Systems - - Socialist and Transition Economies - - - National Income, Product, and Expenditure; Money; Inflation
    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
    • E13 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Neoclassical

    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:arb:journl:y:2025:i:2:p:6-28. 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: Pavlina Ivanova (email available below). General contact details of provider: .

    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.