IDEAS home Printed from https://ideas.repec.org/a/taf/tbitxx/v42y2023i7p940-960.html
   My bibliography  Save this article

Impacts of different interactions on viewers’ sense of virtual community: an empirical study of live streaming platform

Author

Listed:
  • Dandan He
  • Zhong Yao
  • Pengfei Tang
  • Yuanhong Ma

Abstract

With the rapid development of the Internet and the widespread adoption of mobile devices, live streaming has become a new social medium in the last few years. Hence, the continuous usage of live streaming platforms has become an important issue. Based on social exchange theory, this study investigates how different kinds of interactions affect viewers’ sense of virtual community (SOVC) and in turn facilitate their continuous watching intention. Empirical results (N = 423) reveal that both viewer-broadcaster interaction and viewer-viewer interaction positively affect viewers’ SOVC, which further enhances their stickiness. Furthermore, viewer-platform interaction positively moderates the effects of interactions between viewers and broadcasters on their SOVC, whereas the moderating role of gift-giving behaviour is insignificant. Finally, the effects of viewer-broadcaster interaction and viewer-viewer interaction on stickiness are partially mediated by SOVC. This study contributes to in-depth research on the relationships between different specific interactions and viewers’ continuous watching intention, which enriches the existing study on live streaming and deepens our understanding of viewers’ stickiness. The empirical findings of this study suggest that social media developers and managers take actions to encourage interactions that increase viewers’ stickiness.

Suggested Citation

  • Dandan He & Zhong Yao & Pengfei Tang & Yuanhong Ma, 2023. "Impacts of different interactions on viewers’ sense of virtual community: an empirical study of live streaming platform," Behaviour and Information Technology, Taylor & Francis Journals, vol. 42(7), pages 940-960, May.
  • Handle: RePEc:taf:tbitxx:v:42:y:2023:i:7:p:940-960
    DOI: 10.1080/0144929X.2022.2053884
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/0144929X.2022.2053884
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/0144929X.2022.2053884?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:7:p:940-960. 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.