IDEAS home Printed from https://ideas.repec.org/a/igg/jide00/v13y2022i1p1-16.html
   My bibliography  Save this article

Online Herd Behavior in Virtual Communities

Author

Listed:
  • Yi-Fen Chen

    (Department of International Business, Chung Yuan Christian University, Taiwan)

  • Meny-Wei Shen

    (Department of International Business, Chung Yuan Christian University, Taiwan)

  • Jing-Sian Lai

    (Ph. D. Program in Business, College of Business, Chung Yuan Christian University, Taiwan)

  • Chih-Wei Lai

    (Department of Business Administration, Chung Yuan Christian University, Taiwan)

Abstract

Previous studies on WOM have stressed the importance of peer consumer reviews in making purchase decision. When people follow the others purchase decision on the Internet, online herd behavior occurs. This paper presents three experiments that examine herd behavior in virtual communities: In experiment 1, a 2 (Volume: sales/recommendation) online experiment was conducted. Experiment 2 investigated herd effects using a 2 (Number of volume: relative/absolute) × 2 (Number of scale: large/small) online experiment. Online experiment 3 examined herd effects using a 2 (Number of experience-sharing messages: more/fewer) × 2 (Number of recommendations: more/fewer) online experiment. These experiments involved 484 people in a Taiwanese virtual community. Results demonstrated that consumer recommendation volume causes significantly more frequent online herd behavior compared with sales volume. This study advances the literature on online herd behavior in virtual communities.

Suggested Citation

  • Yi-Fen Chen & Meny-Wei Shen & Jing-Sian Lai & Chih-Wei Lai, 2022. "Online Herd Behavior in Virtual Communities," International Journal of Innovation in the Digital Economy (IJIDE), IGI Global, vol. 13(1), pages 1-16, January.
  • Handle: RePEc:igg:jide00:v:13:y:2022:i:1:p:1-16
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJIDE.303609
    Download Restriction: no
    ---><---

    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:jide00:v:13:y:2022:i:1:p:1-16. 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.