pBOL: An Idea Filtering Method Based on Negative Multi-Voting and Pareto Aggregation
30 Pages Posted: 21 May 2018
Date Written: August 11, 2017
Abstract
Open Innovation has pioneered as a troubleshooting method based on massively magnifying the source of solvers who bring new and unusual perspectives to solutions. Successful crowdsourcing brings a new challenge: the selection of ideas that deserve attention. This paper describes a new method for filtering ideas based on crowd evaluation: pBOL. The novelty lies on three aspects: the task is predicting a specialized committee’s choices rather than providing preferences, the task is eliminating bad ideas rather than selecting the best ones and the final solution comes from Pareto aggregation of subgroup solutions. Experimental results show the potential benefit of using pBOL as a high speed filtering method to enable successful open innovation.
Keywords: open innovation, idea filtering, negative multi-voting
JEL Classification: Y
Suggested Citation: Suggested Citation