The sciences of the artificial (3rd ed.)
The sciences of the artificial (3rd ed.)
Parallel and Sequential Testing of Design Alternatives
Management Science
An Extreme-Value Model of Concept Testing
Management Science
Recombinant Uncertainty in Technological Search
Management Science
Problem-Solving Oscillations in Complex Engineering Projects
Management Science
Sequential Testing of Product Designs: Implications for Learning
Management Science
Innovation Contests, Open Innovation, and Multiagent Problem Solving
Management Science
Lone Inventors as Sources of Breakthroughs: Myth or Reality?
Management Science
Idea Generation and the Quality of the Best Idea
Management Science
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Since Osborn's Applied Imagination book in 1953 (Osborn, A. F. 1953. Applied Imagination: Principles and Procedures of Creative Thinking. Charles Scribner's Sons, New York), the effectiveness of brainstorming has been widely debated. While some researchers and practitioners consider it the standard idea generation and problem-solving method in organizations, part of the social science literature has argued in favor of nominal groups, i.e., the same number of individuals generating solutions in isolation. In this paper, we revisit this debate, and we explore the implications that the underlying problem structure and the team diversity have on the quality of the best solution as obtained by the different group configurations. We build on the normative search literature of new product development, and we show that no group configuration dominates. Therefore, nominal groups perform better in specialized problems, even when the factors that affect the solution quality exhibit complex interactions (problem complexity). In cross-functional problems, the brainstorming group exploits the competence diversity of its participants to attain better solutions. However, their advantage vanishes for extremely complex problems.