IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-032-02754-2_2.html
   My bibliography  Save this book chapter

Digitalization, Algorithmic Governance and the Norwegian Model of Labour Market Regulation

In: Digital Technology, Algorithmic Governance and Workplace Democracy

Author

Listed:
  • Inger Marie Hagen

    (OsloMet – Oslo Metropolitan University)

Abstract

In a comparative perspective, Norwegian working life is characterized by high levels of unionization, tripartite cooperation, strong trade unions and employer organizations, an extensive legal and institutional framework, a compressed wage structure, and a high degree of individual influence for employees. At the same time, several studies suggest that digitalization and artificial intelligence may pose a serious challenge to this model, and thereby also to workers’ ability to influence digital restructuring and change. This chapter reviews the core elements of the model—its historical background, the tools the institutional framework offers to union representatives seeking to engage with digitalization, and the model’s main strengths and weaknesses.

Suggested Citation

  • Inger Marie Hagen, 2025. "Digitalization, Algorithmic Governance and the Norwegian Model of Labour Market Regulation," Springer Books, in: Tereza Østbø Kuldova & Inger Marie Hagen & Anthony Lloyd (ed.), Digital Technology, Algorithmic Governance and Workplace Democracy, chapter 0, pages 31-61, Springer.
  • Handle: RePEc:spr:sprchp:978-3-032-02754-2_2
    DOI: 10.1007/978-3-032-02754-2_2
    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
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;

    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:spr:sprchp:978-3-032-02754-2_2. 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.