IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6239-709-5_17.html

When Technology Meets Teamwork: Unveiling the Impact of Tech Adoption on Employee Well-Being

Author

Listed:
  • Mashur Naufal Hamid

    (Hasanuddin University)

Abstract

This study investigates the impact of technology adoption on employee well-being, with a particular focus on the mediating role of team cohesion in the workplace. In light of the increasing integration of advanced technologies, such as Generative Artificial Intelligence (GenAI), the research aims to understand how technology adoption affects emotional, social, and cognitive dimensions of employee well-being. The study also explores how team cohesion can moderate this relationship by buffering the negative effects of technology adoption and job demands. Using a quantitative approach and structural equation modeling (SEM), the study examines variables including employee attitudes towards technology, job demands, and team cohesion. Findings indicate that technology adoption positively influences employee well-being, with team cohesion acting as a significant moderator. The results suggest that organizations should not only focus on the adoption of new technologies but also invest in fostering team cohesion and managing job demands to improve employee well-being. This study contributes to both practical and theoretical knowledge, offering insights into how team cohesion can enhance the positive outcomes of technology integration and reduce potential stressors in the workplace.

Suggested Citation

  • Mashur Naufal Hamid, 2026. "When Technology Meets Teamwork: Unveiling the Impact of Tech Adoption on Employee Well-Being," Advances in Economics, Business and Management Research,, Springer.
  • Handle: RePEc:spr:advbcp:978-94-6239-709-5_17
    DOI: 10.2991/978-94-6239-709-5_17
    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_17. 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.