IDEAS home Printed from https://ideas.repec.org/a/taf/tbitxx/v44y2025i15p3811-3823.html
   My bibliography  Save this article

Development and validation of the online agentic and communal behaviour scale: implications for emotional well-being

Author

Listed:
  • Zhang Hao Goh
  • Xue Zhang

Abstract

Agentic behaviours are often characterised as actions that revolve around being assertive and achievement-oriented, whereas communal behaviours are centered on cooperation, empathy, and promoting social harmony. While extensive studies have demonstrated how these behaviours can be reproduced in online environments from offline, there is a lack of a suitable scale to measure them. The current study focuses on developing and validating an online agentic and communal behavioural survey scale. Through exploratory and confirmatory factor analyses, two correlated factors emerged and corresponded with the definitions of the agentic and communal dimensions. Through linear regression modelling, it was found that although each dimension was negatively associated with Internet users’ emotional well-being, the positive impact of online communal behaviour on emotional well-being is more pronounced at higher levels of online agentic behaviour. This reflects a theoretical perspective that both dimensions are complementary and should be ‘balanced’ to achieve optimal well-being. In a three-way interaction, it was found that gender moderates the above positive interaction effect in both gender groups. Specifically, gender differences play a part in determining the impact of high vs. low online AC behaviours on emotional well-being. This finding aligns with the theoretical framework explaining gender roles in societies.

Suggested Citation

  • Zhang Hao Goh & Xue Zhang, 2025. "Development and validation of the online agentic and communal behaviour scale: implications for emotional well-being," Behaviour and Information Technology, Taylor & Francis Journals, vol. 44(15), pages 3811-3823, September.
  • Handle: RePEc:taf:tbitxx:v:44:y:2025:i:15:p:3811-3823
    DOI: 10.1080/0144929X.2025.2450008
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/0144929X.2025.2450008
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/0144929X.2025.2450008?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

    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:15:p:3811-3823. 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.