IDEAS home Printed from https://ideas.repec.org/a/taf/tbitxx/v42y2023i8p1230-1252.html
   My bibliography  Save this article

Antecedents of blatant benevolence on social media

Author

Listed:
  • Muhammad Hasan Ashraf
  • Jiayuan Zhang
  • Koray Özpolat

Abstract

With the rise of social media in people’s lives, the tendency to donate through social media platforms has increased tremendously. The positive attitudes of social media users towards online charity initiatives, such as ALS Ice Bucket Challenge, are also gaining traction. Therefore, it is of great value for the charitable organizations to identify the motivational factors that encourage social media users to participate in blatant benevolence. Drawing on costly signalling and self-presentation theories, this study undertakes a multi-method approach with the aim to explore social media users’ motivation of posting prosocial behaviour on social media platforms by identifying the antecedents of blatant benevolence. Using the interview data from 126 social media users, the study first applies rigorous grounded theory analysis to identify factors that lead to blatant benevolence, and subsequently employs a survey method approach, comprising data from 342 social media users, to empirically test the factors identified. Our findings show that desire for social network enhancement and warm glow attainment are the significant drivers that motivate people to post prosocial behaviours on social media. Theoretical and practical implications of our findings for social media behaviour researchers and charity organizations are also discussed in the paper.

Suggested Citation

  • Muhammad Hasan Ashraf & Jiayuan Zhang & Koray Özpolat, 2023. "Antecedents of blatant benevolence on social media," Behaviour and Information Technology, Taylor & Francis Journals, vol. 42(8), pages 1230-1252, June.
  • Handle: RePEc:taf:tbitxx:v:42:y:2023:i:8:p:1230-1252
    DOI: 10.1080/0144929X.2022.2069595
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/0144929X.2022.2069595
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/0144929X.2022.2069595?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:42:y:2023:i:8:p:1230-1252. 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.