IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6239-709-5_96.html

Examining How Digital Service Quality Affects Employee Performance and Job Satisfaction in HR Management

Author

Listed:
  • Muhammad Dedy Miswar

    (Hasanuddin University)

  • dan Mursalim Nohong

    (Hasanuddin University)

Abstract

Digital transformation has reshaped the human resource management (HRM) function, requiring organizations to provide high-quality digital HR services to improve operational efficiency and employee experience. This study aims to analyze the impact of digital HR service quality on employee performance and job satisfaction in large companies in Asia, while also examining the mediating role of job satisfaction and the moderating effects of mobile-first orientation and collectivistic culture. Using a quantitative approach and Structural Equation Modeling (SEM), data were collected from 508 employees across 12 large organizations. The results show that digital HR service quality—comprising system functionality, information quality, user experience, interaction support, and data security—has a significant positive effect on job satisfaction (β = 0.62, p

Suggested Citation

  • Muhammad Dedy Miswar & dan Mursalim Nohong, 2026. "Examining How Digital Service Quality Affects Employee Performance and Job Satisfaction in HR Management," Advances in Economics, Business and Management Research,, Springer.
  • Handle: RePEc:spr:advbcp:978-94-6239-709-5_96
    DOI: 10.2991/978-94-6239-709-5_96
    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:advbcp:978-94-6239-709-5_96. 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.