High-speed idea filtering with the bag of lemons
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bag of lemons.pdf
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972.01 KB
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Author(s)
Garcia, Ana Cristina Bicharra
Klein, Mark
Date Issued
July 2015
Journal
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
Abstract
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
MIT Department
Sloan School of Management
Terms of Use
Creative Commons Attribution-Noncommercial-NoDerivatives
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1016/j.dss.2015.06.005
