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AI-Assisted Searching Through Crowdsourced Solution Space

Author

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  • 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
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    References listed on IDEAS

    as
    1. Christian Terwiesch & Yi Xu, 2008. "Innovation Contests, Open Innovation, and Multiagent Problem Solving," Management Science, INFORMS, vol. 54(9), pages 1529-1543, September.
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