IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v332y2026i2p562-574.html

Information sharing and product co-creation on crowdsourcing platform

Author

Listed:
  • Jiang, Baojun
  • Shi, Hongyan

Abstract

Many crowdsourcing platforms co-create the final products using their base products and artists’ designs. When submitting her design, an artist faces uncertainty about how much consumers like her design style. The platform often collects style popularity information through direct or indirect ways. This paper examines whether the platform should share the popularity information with artists and how such information sharing affects the platform’s profit, the artists’ payoff, consumer welfare, and social welfare. When base product quality is exogenous and artists’ designs are endogenous, whether and when the platform should share information with the artists depend on two factors: the level of price competition among artists and the platform’s marginal cost. When price competition is sufficiently weak (strong), the platform benefits from sharing popularity information if its marginal production cost is very low or very high (very high). Artists at an aggregate level benefit from such information sharing; consumer welfare and social welfare may or may not benefit from it. Moreover, when both base quality and design styles are endogenous, the platform shares popularity information if price competition is weak and production is highly efficient or inefficient. In this case, information sharing leads to either lower or higher base quality. We further extend the main model to allow partial information sharing and discuss the robustness of our results with alternative model setups.

Suggested Citation

  • Jiang, Baojun & Shi, Hongyan, 2026. "Information sharing and product co-creation on crowdsourcing platform," European Journal of Operational Research, Elsevier, vol. 332(2), pages 562-574.
  • Handle: RePEc:eee:ejores:v:332:y:2026:i:2:p:562-574
    DOI: 10.1016/j.ejor.2025.11.009
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0377221725009026
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ejor.2025.11.009?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

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:eee:ejores:v:332:y:2026:i:2:p:562-574. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eor .

    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.