IDEAS home Printed from https://ideas.repec.org/a/eee/bushor/v67y2024i3p263-269.html
   My bibliography  Save this article

Unlocking training transfer in the age of artificial intelligence

Author

Listed:
  • Park, Jennifer Jihae

Abstract

In today's rapidly evolving world, the need for effective training and development programs is more urgent than ever. The biggest challenge to training research stems from the advancement of technology such as artificial intelligence. This article is organized into three sections. First, I present an overview of integrating emerging technology—artificial intelligence—in the workplace. Second, I discuss strategies to keep up with rapidly changing work environments for effective and timely training transfer. Third, I conclude with future directions for training transfer in the era of artificial intelligence. This study does not focus on “what we know” in training transfer research. Rather, it emphasizes future directions and offers recommendations for improving training and training transfer through the advancement of technology and by facilitating dynamic work environments. The recommendations aim to develop more effective training programs that will lead to significant and sustainable improvements in employee performance, productivity, and organizational outcomes.

Suggested Citation

  • Park, Jennifer Jihae, 2024. "Unlocking training transfer in the age of artificial intelligence," Business Horizons, Elsevier, vol. 67(3), pages 263-269.
    • Handle: RePEc:eee:bushor:v:67:y:2024:i:3:p:263-269
    DOI: 10.1016/j.bushor.2024.02.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0007681324000168
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.bushor.2024.02.002?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:eee:bushor:v:67:y:2024:i:3:p:263-269. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/bushor .

    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.