High-Speed Idea Filtering with the Bag of Lemons

22 Pages Posted: 27 Sep 2014

See all articles by Mark Klein

Mark Klein

Massachusetts Institute of Technology

Ana Cristina Garcia

UFF - Universidade Federal Fluminense; Massachusetts Institute of Technology (MIT) - Sloan School of Management

Date Written: September 25, 2014

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 at least comparable 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

Suggested Citation

Klein, Mark and Garcia, Ana Cristina, High-Speed Idea Filtering with the Bag of Lemons (September 25, 2014). Available at SSRN: https://ssrn.com/abstract=2501787 or http://dx.doi.org/10.2139/ssrn.2501787

Mark Klein (Contact Author)

Massachusetts Institute of Technology ( email )

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HOME PAGE: http://cci.mit.edu/klein/

Ana Cristina Garcia

UFF - Universidade Federal Fluminense ( email )

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Niteroi, WV Rio DeJaneiro 24220-900
Brazil

Massachusetts Institute of Technology (MIT) - Sloan School of Management ( email )

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United States

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