IDEAS home Printed from https://ideas.repec.org/a/eee/jbrese/v117y2020icp29-43.html
   My bibliography  Save this article

The dynamics of innovation contest experience: An integrated framework from the customer’s perspective

Author

Listed:
  • Salgado, Stéphane
  • Hemonnet-Goujot, Aurelie
  • Henard, David H.
  • de Barnier, Virginie

Abstract

Getting customers to actively participate in company-sponsored innovation contests is increasingly crucial. While much of the extant research on innovation contests is understandably focused on company benefits, relatively less is known about the innovation contest experience (ICE) from a customer perspective. This research extends the innovation contest literature by developing an integrated framework for evaluating contest experiences. Based on a mixed method approach, this study investigates the role of an understudied variable, namely perceived challenge (PC) of the innovation task, and its influence on ICE. Results indicate that PC has a direct positive (quadratic) influence on ICE, that PC negatively moderates the effect of extrinsic motivation on ICE as well as the effect of intrinsic motivation on ICE. This study also reveals an interaction effect between extrinsic and intrinsic motivation, showing a moderating effect of extrinsic motivation on the link between intrinsic motivation and ICE. Both short-term and long-term outcomes of ICE are modeled and tested. Results indicate that a positive ICE leads to a greater customer willingness to participate in subsequent contests and to an enhanced company reputation for innovation.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:jbrese:v:117:y:2020:i:c:p:29-43
    DOI: 10.1016/j.jbusres.2020.05.041
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0148296320303489
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jbusres.2020.05.041?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Franke, Nikolaus & Hippel, Eric von, 2003. "Satisfying heterogeneous user needs via innovation toolkits: the case of Apache security software," Research Policy, Elsevier, vol. 32(7), pages 1199-1215, July.
    2. Steils, Nadia & Hanine, Salwa, 2019. "Recruiting valuable participants in online IDEA generation: The role of brief instructions," Journal of Business Research, Elsevier, vol. 96(C), pages 14-25.
    3. Garcia Martinez, Marian, 2015. "Solver engagement in knowledge sharing in crowdsourcing communities: Exploring the link to creativity," Research Policy, Elsevier, vol. 44(8), pages 1419-1430.
    4. Felin, Teppo & Zenger, Todd R., 2014. "Closed or open innovation? Problem solving and the governance choice," Research Policy, Elsevier, vol. 43(5), pages 914-925.
    5. Cepeda Carrión, Gabriel & Henseler, Jörg & Ringle, Christian M. & Roldán, José Luis, 2016. "Prediction-oriented modeling in business research by means of PLS path modeling: Introduction to a JBR special section," Journal of Business Research, Elsevier, vol. 69(10), pages 4545-4551.
    6. Armstrong, J. Scott & Overton, Terry S., 1977. "Estimating Nonresponse Bias in Mail Surveys," MPRA Paper 81694, University Library of Munich, Germany.
    7. 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.
    8. Jeffrey A. Roberts & Il-Horn Hann & Sandra A. Slaughter, 2006. "Understanding the Motivations, Participation, and Performance of Open Source Software Developers: A Longitudinal Study of the Apache Projects," Management Science, INFORMS, vol. 52(7), pages 984-999, July.
    9. Xiaoqing Wang & Brian S. Butler & Yuqing Ren, 2013. "The Impact of Membership Overlap on Growth: An Ecological Competition View of Online Groups," Organization Science, INFORMS, vol. 24(2), pages 414-431, April.
    10. Ajay Agrawal & Christian Catalini & Avi Goldfarb, 2014. "Some Simple Economics of Crowdfunding," Innovation Policy and the Economy, University of Chicago Press, vol. 14(1), pages 63-97.
    11. 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.
    12. Frey, Bruno S & Oberholzer-Gee, Felix, 1997. "The Cost of Price Incentives: An Empirical Analysis of Motivation Crowding-Out," American Economic Review, American Economic Association, vol. 87(4), pages 746-755, September.
    13. Mourad, Siham & Valette-Florence, Pierre, 2016. "Improving prediction with POS and PLS consistent estimations: An illustration," Journal of Business Research, Elsevier, vol. 69(10), pages 4675-4684.
    14. Rita Faullant & Patrick Holzmann & Erich J. Schwarz, 2016. "Everybody Is Invited But Not Everybody Will Come — The Influence Of Personality Dispositions On Users’ Entry Decisions For Crowdsourcing Competitions," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 20(06), pages 1-20, August.
    15. Nadia Steils & Salwa Hanine, 2019. "Recruiting valuable participants in online IDEA generation: The role of brief instructions," Post-Print hal-02117668, HAL.
    16. Gebauer, Johannes & Füller, Johann & Pezzei, Roland, 2013. "The dark and the bright side of co-creation: Triggers of member behavior in online innovation communities," Journal of Business Research, Elsevier, vol. 66(9), pages 1516-1527.
    17. Fournier, Susan, 1998. "Consumers and Their Brands: Developing Relationship Theory in Consumer Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 24(4), pages 343-373, March.
    18. Joseph F. Hair & G. Tomas M. Hult & Christian M. Ringle & Marko Sarstedt & Kai Oliver Thiele, 2017. "Mirror, mirror on the wall: a comparative evaluation of composite-based structural equation modeling methods," Journal of the Academy of Marketing Science, Springer, vol. 45(5), pages 616-632, September.
    19. Christian Terwiesch & Yi Xu, 2008. "Innovation Contests, Open Innovation, and Multiagent Problem Solving," Management Science, INFORMS, vol. 54(9), pages 1529-1543, September.
    20. Jörg Henseler & Marko Sarstedt, 2013. "Goodness-of-fit indices for partial least squares path modeling," Computational Statistics, Springer, vol. 28(2), pages 565-580, April.
    21. Keith Weigelt & Colin Camerer, 1988. "Reputation and corporate strategy: A review of recent theory and applications," Strategic Management Journal, Wiley Blackwell, vol. 9(5), pages 443-454, September.
    22. 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.
    23. Stéphane Salgado & Virginie de Barnier, 2016. "Encouraging and rewarding consumer creativity in new product development processes: How to motivate consumers involved in creative contests?," Post-Print hal-01830288, HAL.
    24. Nishikawa, Hidehiko & Schreier, Martin & Ogawa, Susumu, 2013. "User-generated versus designer-generated products: A performance assessment at Muji," International Journal of Research in Marketing, Elsevier, vol. 30(2), pages 160-167.
    25. Ramaswamy, Venkat & Ozcan, Kerimcan, 2018. "What is co-creation? An interactional creation framework and its implications for value creation," Journal of Business Research, Elsevier, vol. 84(C), pages 196-205.
    26. Garcia Martinez, Marian, 2017. "Inspiring crowdsourcing communities to create novel solutions: Competition design and the mediating role of trust," Technological Forecasting and Social Change, Elsevier, vol. 117(C), pages 296-304.
    27. Anna S. Cui & Fang Wu, 2016. "Utilizing customer knowledge in innovation: antecedents and impact of customer involvement on new product performance," Journal of the Academy of Marketing Science, Springer, vol. 44(4), pages 516-538, July.
    28. Joseph F. Hair & Christian M. Ringle & Siegfried P. Gudergan & Andreas Fischer & Christian Nitzl & Con Menictas, 2019. "Partial least squares structural equation modeling-based discrete choice modeling: an illustration in modeling retailer choice," Business Research, Springer;German Academic Association for Business Research, vol. 12(1), pages 115-142, April.
    29. Hoffman, Donna L. & Novak, Thomas P., 2009. "Flow Online: Lessons Learned and Future Prospects," Journal of Interactive Marketing, Elsevier, vol. 23(1), pages 23-34.
    30. Siham Mourad & Pierre Valette-Florence, 2016. "Improving prediction with POS and PLS consistent estimations: An illustration," Post-Print hal-01998114, HAL.
    Full references (including those not matched with items on IDEAS)

    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. Fu, Shihui & Sun, Yi & Gao, Xue, 2022. "Balancing openness and control to improve the performance of crowdsourcing contests for product innovation: A configurational perspective," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    2. repec:eee:respol:v:48:y:2019:i:8:p:- is not listed on IDEAS
    3. Kevin J. Boudreau, 2018. "Amateurs Crowds & Professional Entrepreneurs as Platform Complementors," NBER Working Papers 24512, National Bureau of Economic Research, Inc.
    4. Ren, Jie & Han, Yue & Genc, Yegin & Yeoh, William & Popovič, Aleš, 2021. "The boundary of crowdsourcing in the domain of creativity✰," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    5. Piazza, Mariangela & Mazzola, Erica & Perrone, Giovanni, 2022. "How can I signal my quality to emerge from the crowd? A study in the crowdsourcing context," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    6. 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.
    7. Viktoria Boss & Robin Kleer & Alexander Vossen, 2017. "Walking Parallel Paths Or Taking The Same Road? The Effect Of Collaborative Incentives In Innovation Contests," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 21(03), pages 1-34, April.
    8. Ann Majchrzak & Arvind Malhotra, 2016. "Effect of Knowledge-Sharing Trajectories on Innovative Outcomes in Temporary Online Crowds," Information Systems Research, INFORMS, vol. 27(4), pages 685-703, December.
    9. Natalicchio, A. & Messeni Petruzzelli, A. & Garavelli, A.C., 2017. "Innovation problems and search for solutions in crowdsourcing platforms – A simulation approach," Technovation, Elsevier, vol. 64, pages 28-42.
    10. Pallab Sanyal & Shun Ye, 2024. "An Examination of the Dynamics of Crowdsourcing Contests: Role of Feedback Type," Information Systems Research, INFORMS, vol. 35(1), pages 394-413, March.
    11. 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).
    12. Stanko, Michael A. & Allen, B.J., 2022. "Disentangling the collective motivations for user innovation in a 3D printing community," Technovation, Elsevier, vol. 111(C).
    13. Cappa, Francesco & Oriani, Raffaele & Pinelli, Michele & De Massis, Alfredo, 2019. "When does crowdsourcing benefit firm stock market performance?," Research Policy, Elsevier, vol. 48(9), pages 1-1.
    14. 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.
    15. 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.
    16. 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.
    17. Hsieh, Sara H. & Chang, Aihwa, 2016. "The Psychological Mechanism of Brand Co-creation Engagement," Journal of Interactive Marketing, Elsevier, vol. 33(C), pages 13-26.
    18. 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.
    19. Kokshagina, Olga & Gillier, Thomas & Cogez, Patrick & Le Masson, Pascal & Weil, Benoit, 2017. "Using innovation contests to promote the development of generic technologies," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 152-164.
    20. Shi, Xiaoxiao & Evans, Richard & Shan, Wei, 2022. "Solver engagement in online crowdsourcing communities: The roles of perceived interactivity, relationship quality and psychological ownership," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    21. 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.

    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:eee:jbrese:v:117:y:2020:i:c:p:29-43. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jbusres .

    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.