IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-031-62369-1_1.html
   My bibliography  Save this book chapter

The Transformative Landscape of HRM and Artificial Intelligence in the Global South: Advancing Towards the Future of Work

In: HRM, Artificial Intelligence and the Future of Work

Author

Listed:
  • Olatunji David Adekoya

    (Sheffield Hallam University)

  • Chima Mordi

    (Brunel University London)

  • Hakeem Adeniyi Ajonbadi

    (University of Doha for Science and Technology)

Abstract

The global landscape of human resources management (HRM) is undergoing a profound transformation driven by the rapid advancement of artificial intelligence (AI). While AI adoption in the Global South may be lagging behind developed nations, its impact on the future of work in the region is poised to be significant. This introductory chapter provides a cursory examination of the relationship between HRM and AI in the Global South, exploring the challenges and opportunities of this transformative convergence for the future of work in the region. Furthermore, the chapter presents the key findings from the subsequent chapters in the book, providing a roadmap for understanding the transformative potential of AI in shaping HRM. It highlights the importance of strategic planning, cultural sensitivity, and a focus on human-centred design to ensure that AI is harnessed for the betterment of the workforce and the overall success of organisations in the Global South.

Suggested Citation

  • Olatunji David Adekoya & Chima Mordi & Hakeem Adeniyi Ajonbadi, 2024. "The Transformative Landscape of HRM and Artificial Intelligence in the Global South: Advancing Towards the Future of Work," Springer Books, in: Olatunji David Adekoya & Chima Mordi & Hakeem Adeniyi Ajonbadi (ed.), HRM, Artificial Intelligence and the Future of Work, chapter 0, pages 3-17, Springer.
  • Handle: RePEc:spr:sprchp:978-3-031-62369-1_1
    DOI: 10.1007/978-3-031-62369-1_1
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:sprchp:978-3-031-62369-1_1. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.