[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/a/igg/rmj000/v32y2019i4p56-71.html
   My bibliography  Save this article

Understanding User Social Commerce Usage Intention: A Stimulus-Organism-Response Perspective

Author

Listed:
  • Tao Zhou

    (School of Management, Hangzhou Dianzi University, Hangzhou, China)

Abstract
The integration of social media and e-commerce leads to the emergence of social commerce. Although previous research has examined social commerce user behaviour from multiple perspectives, it has focused on the effect of instrumental beliefs, such as perceived value, and has seldom examined the effect of emotional factors, such as sense of community on user behaviour. The purpose of this research is to draw on the stimulus-organism-response (SOR) model to examine the effect of sense of community on users' social commerce usage intention. The results indicate that both social support and service quality (stimulus) affect the sense of community (organism), which in turn affects users' sharing and participation intention (response). The results imply that service providers need to develop the user's sense of community in order to facilitate his or her social commerce usage intention.

Suggested Citation

  • Tao Zhou, 2019. "Understanding User Social Commerce Usage Intention: A Stimulus-Organism-Response Perspective," Information Resources Management Journal (IRMJ), IGI Global, vol. 32(4), pages 56-71, October.
  • Handle: RePEc:igg:rmj000:v:32:y:2019:i:4:p:56-71
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IRMJ.2019100104
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yogesh K Dwivedi & Elvira Ismagilova & Prianka Sarker & Anand Jeyaraj & Yassine Jadil & Laurie Hughes, 2023. "A Meta-Analytic Structural Equation Model for Understanding Social Commerce Adoption," Information Systems Frontiers, Springer, vol. 25(4), pages 1421-1437, August.

    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:igg:rmj000:v:32:y:2019:i:4:p:56-71. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    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.