IDEAS home Printed from https://ideas.repec.org/a/taf/tbitxx/v40y2021i9p837-854.html
   My bibliography  Save this article

Using gamification elements for competitive crowdsourcing: exploring the underlying mechanism

Author

Listed:
  • Congcong Yang
  • Hua Jonathan Ye
  • Yuanyue Feng

Abstract

Gamification can be an effective mechanism of engaging individual users (i.e. solvers) in task solving on competitive crowdsourcing platforms. However, past literature lacks a nuanced understanding of how gamification elements can affect solvers’ crowdsourcing behaviour via intrinsic and extrinsic motivations. We conceptualised two typical gamification elements (points and immediate performance feedback). Borrowing from self-determination theory, we modelled the effects of points and immediate performance feedback on both intrinsic and extrinsic motivations that, in turn, affect solvers’ crowdsourcing participation. Using a survey data of 295 solvers from a large competitive crowdsourcing platform in China, we found that points are positively related to intrinsic and extrinsic motivations, while immediate performance feedback only enhances intrinsic motivation. Both intrinsic and extrinsic motivations positively affect solvers’ crowdsourcing participation. The findings of this study enrich our understanding of the mechanisms of the two gamification elements and provide practical insights on how to enhance solvers’ participation in crowdsourcing.

Suggested Citation

  • Congcong Yang & Hua Jonathan Ye & Yuanyue Feng, 2021. "Using gamification elements for competitive crowdsourcing: exploring the underlying mechanism," Behaviour and Information Technology, Taylor & Francis Journals, vol. 40(9), pages 837-854, July.
  • Handle: RePEc:taf:tbitxx:v:40:y:2021:i:9:p:837-854
    DOI: 10.1080/0144929X.2020.1733088
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/0144929X.2020.1733088
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/0144929X.2020.1733088?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:40:y:2021:i:9:p:837-854. 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.