High-speed idea filtering with the bag of lemons
Author(s)
Garcia, Ana Cristina Bicharra; Klein, Mark
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Open innovation platforms (web sites where crowds post ideas in a shared space) enable us to elicit huge volumes of potentially valuable solutions for problems we care about, but identifying the best ideas in these collections can be prohibitively expensive and time-consuming. This paper presents an approach, called the “bag of lemons”, which enables crowd to filter ideas with accuracy superior to conventional (Likert scale) rating approaches, but in only a fraction of the time. The key insight behind this approach is that crowds are much better at eliminating bad ideas than at identifying good ones. Keywords: Collective intelligence; Open innovation; Social computing; Idea filtering
Date issued
2015-07Department
Sloan School of ManagementJournal
Decision Support Systems
Publisher
Elsevier
Citation
Klein, Mark et al. “High-Speed Idea Filtering with the Bag of Lemons.” Decision Support Systems 78 (October 2015): 39–50 © 2015 Elsevier B.V.
Version: Author's final manuscript
ISSN
0167-9236