Selecting for Innovation: development and test of idea selection strategies in organizations, based on the U+201CMotivated Information Processing in Groups U+201C model Ghent University
Organizations use brainstormtechniques in order to innovate. With this technique ideas are first generated and then ideas are selected. However, recent studies show that people are not good at selecting ideas. This research aims to optimize idea selection, using the Motivated Information Processing in Groups model, a validated model derived from decision making literature.