IDEAS home Printed from https://ideas.repec.org/a/taf/tbitxx/v38y2019i2p120-131.html
   My bibliography  Save this article

Factors affecting reposting behaviour using a mobile phone-based user-generated-content online community application among Chinese young adults

Author

Listed:
  • Xingyu Chen
  • Da Tao
  • Zhimin Zhou

Abstract

Mobile phone-based user-generated-content (UGC) online community applications have gained increasing popularity among young generations. However, factors that may affect usage behaviour regarding the applications are not fully investigated. In this study, we employed the Technology Acceptance Model as the basis to explore factors that are able to predict user reposting behaviour with the applications. University students (N = 322) completed a self-reported questionnaire for measuring the studied constructs after they experienced a high-fidelity prototype of a mobile UGC online community application. Results from path analysis demonstrated that perceived usefulness and attitude towards usage were significant determinants of user reposting intention, with 23% of its variance explained. Perceived usefulness, perceived ease of use and information credibility directly predicted attitude towards usage and accounted for 45% of its variance. Perceived ease of use exerted influence on both perceived usefulness and information credibility. The findings can enhance our understanding of factors that contribute to user reposting behaviour and provide insight into design and implementation strategies to increase the likelihood of user intention to repost information using mobile UGC online community applications.

Suggested Citation

  • Xingyu Chen & Da Tao & Zhimin Zhou, 2019. "Factors affecting reposting behaviour using a mobile phone-based user-generated-content online community application among Chinese young adults," Behaviour and Information Technology, Taylor & Francis Journals, vol. 38(2), pages 120-131, February.
    • Handle: RePEc:taf:tbitxx:v:38:y:2019:i:2:p:120-131
    DOI: 10.1080/0144929X.2018.1515985
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/0144929X.2018.1515985
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/0144929X.2018.1515985?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:38:y:2019:i:2:p:120-131. 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.