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Research on Idea Generation and Selection: Implications for Management of Technology
Author(s) -
Kornish Laura J.,
HutchisonKrupat Jeremy
Publication year - 2017
Publication title -
production and operations management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.279
H-Index - 110
eISSN - 1937-5956
pISSN - 1059-1478
DOI - 10.1111/poms.12664
Subject(s) - selection (genetic algorithm) , incentive , knowledge management , process (computing) , context (archaeology) , computer science , process management , business , management science , artificial intelligence , economics , paleontology , biology , operating system , microeconomics
Idea generation and selection are fundamental activities in innovation. Scholars in many disciplines have written about these activities, addressing diverse perspectives. In this study, we synthesize the research findings most applicable to the management of technology. First, we present findings on the process of idea generation: the importance of problem recognition and the many decisions made in organizing the effort. Second, we present findings about the process of idea selection, focusing on the different types of information that can be used in that decision. Third, we turn our attention to the organizational context in which both idea generation and selection occur: the corporate culture, use of incentives, organizational structure, and use of teams. Finally, we conclude, emphasizing that although idea generation and selection are as old as human decision making, changes in technology still affect these fundamental processes.