IDEAS home Printed from https://ideas.repec.org/a/spr/jknowl/v16y2025i3d10.1007_s13132-024-02216-0.html
   My bibliography  Save this article

HRM Effectiveness as an Outcome of Big Data: The Role of Big Data–Driven HR Practices and Electronic HRM

Author

Listed:
  • Arab ul Mateen

    (Superior University)

  • Qasim Ali Nisar

    (Taylor’s University)

  • Samia Jamshed

    (Superior University)

  • Sumaira Rehman

    (Superior University)

  • Muhammad Ali

    (Superior University)

Abstract

This study is undertaken to investigate the role of big data in enhancing HRM effectiveness via the mediating effect of big data–driven HR practices and electronic human resource management. It also examines the moderating effect of data-driven culture on big data–driven HR practices and electronic HRM. Data were collected from the HR managers and executives working in the hospitality sector. The analysis is based on the data of 248 managers. Partial least square-structural equation modeling was performed for analysis. The analytical findings revealed that big data positively and significantly influences HRM effectiveness. Moreover, big data–driven HR practices and electronic HRM further enhance the relationship between big data and HRM effectiveness. The results confirm the moderating effect of data-driven culture on big data–driven HR practices and electronic HRM. This research is novel as it explains big data and HRM relationships based on quantitative research. Moreover, this study contributes to the existing literature on digitized HRM by exploring the influence mechanism between big data and HRM effectiveness via incorporating two distinct streams of digitized HRM which have not been studied together so far, i.e., big data–driven HR practices and electronic HRM.

Suggested Citation

  • Arab ul Mateen & Qasim Ali Nisar & Samia Jamshed & Sumaira Rehman & Muhammad Ali, 2025. "HRM Effectiveness as an Outcome of Big Data: The Role of Big Data–Driven HR Practices and Electronic HRM," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 16(3), pages 11339-11373, September.
  • Handle: RePEc:spr:jknowl:v:16:y:2025:i:3:d:10.1007_s13132-024-02216-0
    DOI: 10.1007/s13132-024-02216-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13132-024-02216-0
    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/s13132-024-02216-0?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

    for a different version of it.

    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:jknowl:v:16:y:2025:i:3:d:10.1007_s13132-024-02216-0. 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.