IDEAS home Printed from https://ideas.repec.org/a/spr/manrev/v74y2024i4d10.1007_s11301-023-00367-z.html
   My bibliography  Save this article

Consolidating the theoretical foundations of digital human resource management acceptance and use research: a meta-analytic validation of UTAUT

Author

Listed:
  • Christian Theres

    (Saarland University)

  • Stefan Strohmeier

    (Saarland University)

Abstract

With rapid technological progress, the adoption of digital technology in human resource management (HRM) has become a crucial step towards the vision of digital organizations. Over the last four decades, a substantial body of empirical research has been dedicated towards explaining the phenomenon of digital HRM. Moreover, research has applied a wide array of theories, constructs, and measures to explain the adoption of digital HRM in organizations. The results are fragmented theoretical foundations and inconsistent empirical evaluations. We provide a comprehensive overview of theories applied in digital HRM adoption research and propose an adjusted version of the unified theory of acceptance and use of technology as a consolidating theory to explain adoption across settings. We empirically validate this theory by combining evidence from 134 primary studies yielding 768 effect sizes via meta-analytic structural equation modelling. Moderator analyses assessing the influence of research setting and sample on effects show significant differences between private and public sector. Findings highlight research opportunities for future studies and implications for practitioners.

Suggested Citation

  • Christian Theres & Stefan Strohmeier, 2024. "Consolidating the theoretical foundations of digital human resource management acceptance and use research: a meta-analytic validation of UTAUT," Management Review Quarterly, Springer, vol. 74(4), pages 2683-2715, December.
    • Handle: RePEc:spr:manrev:v:74:y:2024:i:4:d:10.1007_s11301-023-00367-z
    DOI: 10.1007/s11301-023-00367-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11301-023-00367-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11301-023-00367-z?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.

    More about this item

    Keywords

    Digital HRM; Meta-analysis; e-HRM; Meta-analytic structural equation modeling; UTAUT;
    All these keywords.

    JEL classification:

    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
    • C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General
    • M12 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Personnel Management; Executives; Executive Compensation

    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:manrev:v:74:y:2024:i:4:d:10.1007_s11301-023-00367-z. 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.