IDEAS home Printed from https://ideas.repec.org/a/spr/elcore/v24y2024i1d10.1007_s10660-022-09570-8.html
   My bibliography  Save this article

The role of expertise in herding behaviors: evidence from a crowdfunding market

Author

Listed:
  • Dongyu Chen

    (Soochow University)

  • Chengchen Huang

    (Soochow University)

  • De Liu

    (University of Minnesota)

  • Fujun Lai

    (University of Southern Mississippi)

Abstract

The peer economy, such as crowdfunding, democratizes access to tasks available only to professionals. Although the peer economy has gained great popularity in practice, how crowds infer information from their peers, especially from experts, is still under minimal study in academia. Using data from a debt-based crowdfunding platform in China, this study investigates the impact of seasoned predecessors’ bids on subsequent investors' decisions and how seasoned and unseasoned investors respond differently to herding signals. We discover that the cumulative lending amount from seasoned predecessors is positively associated with the lending amount of a successor, and such an association is greater if the successor is seasoned. In the repayment process, we find that the lending amount from seasoned investors is positively associated with loan performance, while the lending amount from unseasoned investors is not. Our results contribute to the literature on crowds of wisdom, implying that in a context that requires sophisticated knowledge, extracting hidden talents from experts rather than from crowds is more appropriate.

Suggested Citation

  • Dongyu Chen & Chengchen Huang & De Liu & Fujun Lai, 2024. "The role of expertise in herding behaviors: evidence from a crowdfunding market," Electronic Commerce Research, Springer, vol. 24(1), pages 155-203, March.
  • Handle: RePEc:spr:elcore:v:24:y:2024:i:1:d:10.1007_s10660-022-09570-8
    DOI: 10.1007/s10660-022-09570-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10660-022-09570-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10660-022-09570-8?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.

    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:spr:elcore:v:24:y:2024:i:1:d:10.1007_s10660-022-09570-8. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.