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Optimal Duration of Innovation Contests

Author

Listed:
  • C. Gizem Korpeoglu

    (Eindhoven University of Technology, 5612 AZ Eindhoven, Netherlands)

  • Ersin Körpeoğlu

    (School of Management, University College London, London E14 5AA, United Kingdom)

  • Sıdıka Tunç

    (School of Management, University College London, London E14 5AA, United Kingdom)

Abstract

Problem definition : We study the contest duration and the award scheme of an innovation contest where an organizer elicits solutions to an innovation-related problem from a group of agents. Academic/practical relevance : Our interviews with practitioners at crowdsourcing platforms have revealed that the duration of a contest is an important operational decision. Yet, the theoretical literature has long overlooked this decision. Also, the literature fails to adequately explain why giving multiple unequal awards is so common in crowdsourcing platforms. We aim to fill these gaps between the theory and practice. We generate insights that seem consistent with both practice and empirical evidence. Methodology : We use a game-theoretic model where the organizer decides on the contest duration and the award scheme while each agent decides on her participation and determines her effort over the contest duration by considering potential changes in her productivity over time. The quality of an agent’s solution improves with her effort, but it is also subject to an output uncertainty. Results : We show that the optimal contest duration increases as the relative impact of the agent uncertainty on her output increases, and it decreases if the agent productivity increases over time. We characterize an optimal award scheme and show that giving multiple (almost always) unequal awards is optimal when the organizer’s urgency in obtaining solutions is below a certain threshold. We also show that this threshold is larger when the agent productivity increases over time. Finally, consistent with empirical findings, we show that there is a positive correlation between the optimal contest duration and the optimal total award. Managerial implications : Our results suggest that the optimal contest duration increases with the novelty or sophistication of solutions that the organizer seeks, and it decreases when the organizer can offer support tools that can increase the agent productivity over time. These insights and their drivers seem consistent with practice. Our findings also suggest that giving multiple unequal awards is advisable for an organizer who has low urgency in obtaining solutions. Finally, giving multiple awards goes hand in hand with offering support tools that increase the agent productivity over time. These results help explain why many contests on crowdsourcing platforms give multiple unequal awards.

Suggested Citation

  • C. Gizem Korpeoglu & Ersin Körpeoğlu & Sıdıka Tunç, 2021. "Optimal Duration of Innovation Contests," Manufacturing & Service Operations Management, INFORMS, vol. 23(3), pages 657-675, May.
    • Handle: RePEc:inm:ormsom:v:23:y:2021:i:3:p:657-675
    DOI: 10.1287/msom.2020.0935
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    References listed on IDEAS

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    1. Tom Lee & Louis L. Wilde, 1980. "Market Structure and Innovation: A Reformulation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 94(2), pages 429-436.
    2. Sanjiv Erat & Stylianos Kavadias, 2008. "Sequential Testing of Product Designs: Implications for Learning," Management Science, INFORMS, vol. 54(5), pages 956-968, May.
    3. Ersin Körpeoğlu & Soo-Haeng Cho, 2018. "Incentives in Contests with Heterogeneous Solvers," Management Science, INFORMS, vol. 64(6), pages 2709-2715, June.
    4. Christian Seel, 2018. "Contests with endogenous deadlines," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 27(1), pages 119-133, March.
    5. Amit Jain, 2013. "Learning by Doing and the Locus of Innovative Capability in Biotechnology Research," Organization Science, INFORMS, vol. 24(6), pages 1683-1700, December.
    6. Sanjiv Erat & Vish Krishnan, 2012. "Managing Delegated Search Over Design Spaces," Management Science, INFORMS, vol. 58(3), pages 606-623, March.
    7. Christian Terwiesch & Yi Xu, 2008. "Innovation Contests, Open Innovation, and Multiagent Problem Solving," Management Science, INFORMS, vol. 54(9), pages 1529-1543, September.
    8. Partha Dasgupta & Joseph Stiglitz, 1980. "Uncertainty, Industrial Structure, and the Speed of R&D," Bell Journal of Economics, The RAND Corporation, vol. 11(1), pages 1-28, Spring.
    9. Giuseppe Moscarini & Lones Smith, 2001. "The Optimal Level of Experimentation," Econometrica, Econometric Society, vol. 69(6), pages 1629-1644, November.
    10. Ying-Ju Chen & Tinglong Dai & C. Gizem Korpeoglu & Ersin Körpeoğlu & Ozge Sahin & Christopher S. Tang & Shihong Xiao, 2020. "OM Forum—Innovative Online Platforms: Research Opportunities," Manufacturing & Service Operations Management, INFORMS, vol. 22(3), pages 430-445, May.
    11. Lang, Matthias & Seel, Christian & Strack, Philipp, 2014. "Deadlines in stochastic contests," Journal of Mathematical Economics, Elsevier, vol. 52(C), pages 134-142.
    12. Segev, Ella, 2020. "Crowdsourcing contests," European Journal of Operational Research, Elsevier, vol. 281(2), pages 241-255.
    13. Christoph H. Loch & Christian Terwiesch & Stefan Thomke, 2001. "Parallel and Sequential Testing of Design Alternatives," Management Science, INFORMS, vol. 47(5), pages 663-678, May.
    14. Glenn C. Loury, 1979. "Market Structure and Innovation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 93(3), pages 395-410.
    15. Yaozhong Wu & Karthik Ramachandran & Vish Krishnan, 2014. "Managing Cost Salience and Procrastination in Projects: Compensation and Team Composition," Production and Operations Management, Production and Operations Management Society, vol. 23(8), pages 1299-1311, August.
    16. Raul O. Chao & Stylianos Kavadias, 2008. "A Theoretical Framework for Managing the New Product Development Portfolio: When and How to Use Strategic Buckets," Management Science, INFORMS, vol. 54(5), pages 907-921, May.
    17. Panos Kouvelis & Joseph Milner & Zhili Tian, 2017. "Clinical Trials for New Drug Development: Optimal Investment and Application," Manufacturing & Service Operations Management, INFORMS, vol. 19(3), pages 437-452, July.
    18. Raul O. Chao & Stylianos Kavadias & Cheryl Gaimon, 2009. "Revenue Driven Resource Allocation: Funding Authority, Incentives, and New Product Development Portfolio Management," Management Science, INFORMS, vol. 55(9), pages 1556-1569, September.
    19. Elina H. Hwang & Param Vir Singh & Linda Argote, 2019. "Jack of All, Master of Some: Information Network and Innovation in Crowdsourcing Communities," Information Systems Research, INFORMS, vol. 30(2), pages 389-410, June.
    20. Ely Dahan & Haim Mendelson, 2001. "An Extreme-Value Model of Concept Testing," Management Science, INFORMS, vol. 47(1), pages 102-116, January.
    21. Ajay Kalra & Mengze Shi, 2001. "Designing Optimal Sales Contests: A Theoretical Perspective," Marketing Science, INFORMS, vol. 20(2), pages 170-193, December.
    22. Jürgen Mihm & Jochen Schlapp, 2019. "Sourcing Innovation: On Feedback in Contests," Management Science, INFORMS, vol. 65(2), pages 559-576, February.
    23. Kostas Bimpikis & Shayan Ehsani & Mohamed Mostagir, 2019. "Designing Dynamic Contests," Operations Research, INFORMS, vol. 67(2), pages 339-356, March.
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    Cited by:

    1. Hyeon Jo & Youngsok Bang, 2023. "Factors influencing continuance intention of participants in crowdsourcing," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-13, December.

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