IDEAS home Printed from https://ideas.repec.org/a/zbw/hsgmrs/279710.html
   My bibliography  Save this article

AI-Assisted Searching Through Crowdsourced Solution Space

Author

Listed:
  • Wahl, Julian
  • Füller, Johann
  • Hutter, Katja

Abstract

In crowdsourcing contests, managers have to process hundreds of potential solutions on different topics and from different perspectives. This is resource-intensive, and the cognitive limits of humans are quickly exceeded. Applying contemporary AI-based language models is a promising way to help structure and explore crowdsourcing solutions.

Suggested Citation

  • Wahl, Julian & Füller, Johann & Hutter, Katja, 2022. "AI-Assisted Searching Through Crowdsourced Solution Space," Marketing Review St.Gallen, Universität St.Gallen, Institut für Marketing und Customer Insight, vol. 39(6), pages 30-38.
    • Handle: RePEc:zbw:hsgmrs:279710
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/279710/1/MRSG_2022_6_30-38.pdf
    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:zbw:hsgmrs:279710. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://imc.unisg.ch/ .

    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.