IDEAS home Printed from https://ideas.repec.org/a/inm/orisre/v30y2019i2p486-506.html
   My bibliography  Save this article

Adopting Seekers’ Solution Exemplars in Crowdsourcing Ideation Contests: Antecedents and Consequences

Author

Listed:
  • Tat Koon Koh

    (School of Business and Management, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong)

Abstract

To benefit from the wisdom of the crowd in ideation contests, seekers should understand how their involvement affects solvers’ ideation and the ensuing ideas. This present study addresses this need by examining the antecedents and consequences of solvers’ exemplar adoption (i.e., use of solution exemplars that the seekers provide) in such contests. We theorize how the characteristics of seekers’ exemplars (specifically, quantity and variability) and prizes jointly influence exemplar adoption. We also consider how exemplar adoption affects the effectiveness of the resulting ideas, conditional on solvers’ experience with the problem domain of the contests. The results from a company naming contest and an ad design contest show that exemplar quantity and exemplar variability both positively affect exemplar adoption, but the effects are strengthened and attenuated, respectively, by prize attractiveness. The outcomes of a campaign using the ads from the design contest further show that greater exemplar adoption improves ad effectiveness (in terms of click-through performance) although this is negatively moderated by solvers’ domain experience. We discuss the theoretical and practical contributions of this research to ideation contests. The online appendix is available at https://doi.org/10.1287/isre.2018.0810 .

Suggested Citation

  • Tat Koon Koh, 2019. "Adopting Seekers’ Solution Exemplars in Crowdsourcing Ideation Contests: Antecedents and Consequences," Information Systems Research, INFORMS, vol. 30(2), pages 486-506, June.
    • Handle: RePEc:inm:orisre:v:30:y:2019:i:2:p:486-506
    DOI: 10.1287/isre.2018.0810
    as

    Download full text from publisher

    File URL: https://doi.org/10.1287/isre.2018.0810
    Download Restriction: no
    File URL: https://libkey.io/10.1287/isre.2018.0810?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    2. C. Page Moreau & Darren W. Dahl, 2005. "Designing the Solution: The Impact of Constraints on Consumers' Creativity," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 32(1), pages 13-22, June.
    3. Cason, Timothy N. & Masters, William A. & Sheremeta, Roman M., 2010. "Entry into winner-take-all and proportional-prize contests: An experimental study," Journal of Public Economics, Elsevier, vol. 94(9-10), pages 604-611, October.
    4. Joel O. Wooten & Karl T. Ulrich, 2017. "Idea Generation and the Role of Feedback: Evidence from Field Experiments with Innovation Tournaments," Production and Operations Management, Production and Operations Management Society, vol. 26(1), pages 80-99, January.
    5. Karan Girotra & Christian Terwiesch & Karl T. Ulrich, 2010. "Idea Generation and the Quality of the Best Idea," Management Science, INFORMS, vol. 56(4), pages 591-605, April.
    6. James G. March, 1991. "Exploration and Exploitation in Organizational Learning," Organization Science, INFORMS, vol. 2(1), pages 71-87, February.
    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. Daniel A. Levinthal & James G. March, 1993. "The myopia of learning," Strategic Management Journal, Wiley Blackwell, vol. 14(S2), pages 95-112, December.
    9. Kevin J. Boudreau & Nicola Lacetera & Karim R. Lakhani, 2011. "Incentives and Problem Uncertainty in Innovation Contests: An Empirical Analysis," Management Science, INFORMS, vol. 57(5), pages 843-863, May.
    10. Lars Bo Jeppesen & Karim R. Lakhani, 2010. "Marginality and Problem-Solving Effectiveness in Broadcast Search," Organization Science, INFORMS, vol. 21(5), pages 1016-1033, October.
    11. Pino G. Audia & Jack A. Goncalo, 2007. "Past Success and Creativity over Time: A Study of Inventors in the Hard Disk Drive Industry," Management Science, INFORMS, vol. 53(1), pages 1-15, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yang, Xi & Zhao, Quanwu & Sun, Heshan, 2022. "Seekers’ complaint behavior in crowdsourcing: An uncertainty perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    2. Tat Koon Koh & Muller Y. M. Cheung, 2022. "Seeker Exemplars and Quantitative Ideation Outcomes in Crowdsourcing Contests," Information Systems Research, INFORMS, vol. 33(1), pages 265-284, March.
    3. Patel, Chirag & Ahmad Husairi, Mariyani & Haon, Christophe & Oberoi, Poonam, 2023. "Monetary rewards and self-selection in design crowdsourcing contests: Managing participation, contribution appropriateness, and winning trade-offs," Technological Forecasting and Social Change, Elsevier, vol. 191(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Joel O. Wooten, 2022. "Leaps in innovation and the Bannister effect in contests," Production and Operations Management, Production and Operations Management Society, vol. 31(6), pages 2646-2663, June.
    2. Barry L. Bayus, 2013. "Crowdsourcing New Product Ideas over Time: An Analysis of the Dell IdeaStorm Community," Management Science, INFORMS, vol. 59(1), pages 226-244, June.
    3. Llorente-Saguer, Aniol & Sheremeta, Roman M. & Szech, Nora, 2023. "Designing contests between heterogeneous contestants: An experimental study of tie-breaks and bid-caps in all-pay auctions," European Economic Review, Elsevier, vol. 154(C).
    4. Raffaele Conti & Alfonso Gambardella & Myriam Mariani, 2014. "Learning to Be Edison: Inventors, Organizations, and Breakthrough Inventions," Organization Science, INFORMS, vol. 25(3), pages 833-849, June.
    5. Yuan Jin & Ho Cheung Brian Lee & Sulin Ba & Jan Stallaert, 2021. "Winning by Learning? Effect of Knowledge Sharing in Crowdsourcing Contests," Information Systems Research, INFORMS, vol. 32(3), pages 836-859, September.
    6. Gillier, Thomas & Chaffois, Cédric & Belkhouja, Mustapha & Roth, Yannig & Bayus, Barry L., 2018. "The effects of task instructions in crowdsourcing innovative ideas," Technological Forecasting and Social Change, Elsevier, vol. 134(C), pages 35-44.
    7. Nikolaus Franke & Marion K. Poetz & Martin Schreier, 2014. "Integrating Problem Solvers from Analogous Markets in New Product Ideation," Management Science, INFORMS, vol. 60(4), pages 1063-1081, April.
    8. Tat Koon Koh & Muller Y. M. Cheung, 2022. "Seeker Exemplars and Quantitative Ideation Outcomes in Crowdsourcing Contests," Information Systems Research, INFORMS, vol. 33(1), pages 265-284, March.
    9. Jesse Bockstedt & Cheryl Druehl & Anant Mishra, 2022. "Incentives and Stars: Competition in Innovation Contests with Participant and Submission Visibility," Production and Operations Management, Production and Operations Management Society, vol. 31(3), pages 1372-1393, March.
    10. Salgado, Stéphane & Hemonnet-Goujot, Aurelie & Henard, David H. & de Barnier, Virginie, 2020. "The dynamics of innovation contest experience: An integrated framework from the customer’s perspective," Journal of Business Research, Elsevier, vol. 117(C), pages 29-43.
    11. Hossain, Mokter, 2018. "Motivations, challenges, and opportunities of successful solvers on an innovation intermediary platform," Technological Forecasting and Social Change, Elsevier, vol. 128(C), pages 67-73.
    12. Pollok, Patrick & Lüttgens, Dirk & Piller, Frank T., 2019. "Attracting solutions in crowdsourcing contests: The role of knowledge distance, identity disclosure, and seeker status," Research Policy, Elsevier, vol. 48(1), pages 98-114.
    13. Yan Huang & Param Vir Singh & Kannan Srinivasan, 2014. "Crowdsourcing New Product Ideas Under Consumer Learning," Management Science, INFORMS, vol. 60(9), pages 2138-2159, September.
    14. Linda Argote & Sunkee Lee & Jisoo Park, 2021. "Organizational Learning Processes and Outcomes: Major Findings and Future Research Directions," Management Science, INFORMS, vol. 67(9), pages 5399-5429, September.
    15. Llorente-Saguer, Aniol & Sheremeta, Roman & Szech, Nora, 2016. "Designing Contests Between Heterogeneous Contestants: An Experimental Study of Tie-Breaks and Bid-Caps in All-Pay Auctions," MPRA Paper 71202, University Library of Munich, Germany.
    16. Adrián Kovács & Bart Looy & Bruno Cassiman, 2015. "Exploring the scope of open innovation: a bibliometric review of a decade of research," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(3), pages 951-983, September.
    17. 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.
    18. Christoph Riedl & Victor P. Seidel, 2018. "Learning from Mixed Signals in Online Innovation Communities," Organization Science, INFORMS, vol. 29(6), pages 1010-1032, December.
    19. Dominik Mahr & Aric Rindfleisch & Rebecca Slotegraaf, 2015. "Enhancing Crowdsourcing Success: the Role of Creative and Deliberate Problem-Solving Styles," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 2(3), pages 209-221, September.
    20. Kevin J. Boudreau & Nicola Lacetera & Karim R. Lakhani, 2011. "Incentives and Problem Uncertainty in Innovation Contests: An Empirical Analysis," Management Science, INFORMS, vol. 57(5), pages 843-863, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:orisre:v:30:y:2019:i:2:p:486-506. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.