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Research on Idea Generation and Selection: Implications for Management of Technology

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  • Laura J. Kornish
  • Jeremy Hutchison‐Krupat

Abstract

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.

Suggested Citation

  • Laura J. Kornish & Jeremy Hutchison‐Krupat, 2017. "Research on Idea Generation and Selection: Implications for Management of Technology," Production and Operations Management, Production and Operations Management Society, vol. 26(4), pages 633-651, April.
  • Handle: RePEc:bla:popmgt:v:26:y:2017:i:4:p:633-651
    DOI: 10.1111/poms.12664
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    3. Stylianos Kavadias & Karl T. Ulrich, 2020. "Innovation and New Product Development: Reflections and Insights from the Research Published in the First 20 Years of Manufacturing & Service Operations Management," Manufacturing & Service Operations Management, INFORMS, vol. 22(1), pages 84-92, January.
    4. Xiahua Wei & Ming Fan & Weijia You & Yong Tan, 2021. "An Empirical Study of the Dynamic and Differential Effects of Prefunding," Production and Operations Management, Production and Operations Management Society, vol. 30(5), pages 1331-1349, May.
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    7. Manouchehrabadi, Behrang & Letizia, Paolo & Hendrikse, George, 2022. "Democratic versus elite governance for project selection decisions in executive committees," European Journal of Operational Research, Elsevier, vol. 297(3), pages 1126-1138.
    8. Chammassian, Raffi Gabriel & Sabatier, Valerie, 2020. "The role of costs in business model design for early-stage technology startups," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
    9. Linda Argote & Manpreet Hora, 2017. "Organizational Learning and Management of Technology," Production and Operations Management, Production and Operations Management Society, vol. 26(4), pages 579-590, April.
    10. Shengsheng Xiao & Yi‐Chun (Chad) Ho & Hai Che, 2021. "Building the Momentum: Information Disclosure and Herding in Online Crowdfunding," Production and Operations Management, Production and Operations Management Society, vol. 30(9), pages 3213-3230, September.
    11. Cheryl Gaimon & Manpreet Hora & Karthik Ramachandran, 2017. "Towards Building Multidisciplinary Knowledge on Management of Technology: An Introduction to the Special Issue," Production and Operations Management, Production and Operations Management Society, vol. 26(4), pages 567-578, April.
    12. Atheer Abdullah Mohammed & Abdul Hafeez-Baig & Raj Gururajan, 2018. "Exploring Processes that are Used for Managing Knowledge in theHigher Education Environment: A Case Study in a Queensland Regional University," International Journal of Business and Economic Affairs (IJBEA), Sana N. Maswadeh, vol. 3(2), pages 73-90.
    13. Zhuoxin Li & Jason A. Duan & Sam Ransbotham, 2020. "Coordination and Dynamic Promotion Strategies in Crowdfunding with Network Externalities," Production and Operations Management, Production and Operations Management Society, vol. 29(4), pages 1032-1049, April.
    14. Victor P. Seidel & Christoph Riedl, 2023. "How creative versus technical constraints affect individual learning in an online innovation community," Papers 2303.15163, arXiv.org.
    15. Chan, Kimmy Wa & Li, Stella Yiyan & Zhu, John Jianjun, 2018. "Good to Be Novel? Understanding How Idea Feasibility Affects Idea Adoption Decision Making in Crowdsourcing," Journal of Interactive Marketing, Elsevier, vol. 43(C), pages 52-68.
    16. Mathis Poser & Gerrit C. Küstermann & Navid Tavanapour & Eva A. C. Bittner, 2022. "Design and Evaluation of a Conversational Agent for Facilitating Idea Generation in Organizational Innovation Processes," Information Systems Frontiers, Springer, vol. 24(3), pages 771-796, June.
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