Can AI Help in Ideation? A Theory-Based Model for Idea Screening in Crowdsourcing Contests

Authors test previously published theory-based models in a sample of idea-screening contests and find that efficient, automated screening is possible using easy-to-collect data. Crowdsourcing generates up to thousands of ideas per contest. The selection of best ideas is costly because of the limited...

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Bibliographic Details
Published in:Marketing science (Providence, R.I.) R.I.), 2024-01, Vol.43 (1), p.54-72
Main Authors: Bell, J. Jason, Pescher, Christian, Tellis, Gerard J., Füller, Johann
Format: Article
Language:English
Subjects:
Artificial intelligence
Contests
creativity
Crowdsourcing
Experts
ideation
Intelligence tests
LASSO
natural language processing
Objectivity
prototypicality
random forest
RuleFit
Specification
Tests
Winners
word atypicality
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