IDEAS home Printed from https://ideas.repec.org/a/taf/tbitxx/v44y2025i1p131-149.html
   My bibliography  Save this article

How enterprise social media usage contributes to employee resilience: moderating role of individual adaptability

Author

Listed:
  • Liang Ma
  • Peng Yu
  • Xin Zhang
  • Feifei Hao

Abstract

Earlier research on the ways in which enterprise social media (ESM) usage contributes to employee resilience is rather limited. Using boundary spanning theory, this paper proposes a research model for investigating how enterprise social media usage contributes to employee resilience. Using Smart PLS 4.0 to analyze the survey data from 370 employees, this study found that, first, when enterprise social media is used for work and social purposes, it has a positive effect on employee boundary spanning, while the effect of social-related ESM usage on employee boundary spanning is larger than work-related ESM usage. Second, employee boundary spanning has the greatest effect on the behavioural dimension of employee-level resilience, followed by the cognitive dimension of employee-level resilience and the contextual dimension. Third, employees’ boundary spanning acts as a partial mediator between enterprise social media and employees’ different levels of resilience. Finally, it is interesting to find that individual adaptability can weaken the relationship between work-related ESM usage and employee boundary spanning, while individual adaptability can strengthen the relationship between social-related ESM usage and employee boundary spanning. The research findings suggest ways of using enterprise social media for specific purposes to increase employees’ different levels of resilience in organisations.

Suggested Citation

  • Liang Ma & Peng Yu & Xin Zhang & Feifei Hao, 2025. "How enterprise social media usage contributes to employee resilience: moderating role of individual adaptability," Behaviour and Information Technology, Taylor & Francis Journals, vol. 44(1), pages 131-149, January.
  • Handle: RePEc:taf:tbitxx:v:44:y:2025:i:1:p:131-149
    DOI: 10.1080/0144929X.2024.2312452
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/0144929X.2024.2312452
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/0144929X.2024.2312452?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

    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:taf:tbitxx:v:44:y:2025:i:1:p:131-149. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/tbit .

    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.