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Inspiring crowdsourcing communities to create novel solutions: Competition design and the mediating role of trust

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  • Garcia Martinez, Marian

Abstract

Online communities have become an important source for knowledge and new ideas. However, little is known about how to create a compelling virtual experience to inspire individuals to make novel contributions. This examination is crucial as participants' time and attention have become increasingly scarce resources in an ever more crowded online space. Drawing from the motivation through job design theory, we develop and test a research framework to examine how motivation can be influenced or triggered by competition design characteristics to drive creativity in crowdsourcing communities. Specifically, we investigate the importance of task and knowledge design dimensions in eliciting levels of motivation leading to creative efforts. Additionally, we consider the mediating influence of trust in driving knowledge contribution behaviour. Our hypothesising suggests that trust in the hosting platform reduces uncertainty and fosters knowledge exchange. Based on an empirical study of Kaggle's data scientists community, it reveals that intrinsic motivation exerts a strong effect on participation intention, which in turn positively impacts participant's creative efforts. Highly autonomous competitions with special emphasis on problem solving that require solvers to perform a variety of tasks will further challenge contestants to apply their abilities and skills leading to greater enjoyment and sense of competence. Our findings provide important implications for Web platform managers for the successful management of crowdsourcing communities.

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  • 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.
    • Handle: RePEc:eee:tefoso:v:117:y:2017:i:c:p:296-304
    DOI: 10.1016/j.techfore.2016.11.015
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    3. Christian W. Scheiner & Christian V. Baccarella & John Bessant & Kai-Ingo Voigt, 2018. "Participation Motives, Moral Disengagement, And Unethical Behaviour In Idea Competitions," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 22(06), pages 1-24, August.
    4. 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).
    5. 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.
    6. Xu, Hui & Wu, Yang & Hamari, Juho, 2022. "What determines the successfulness of a crowdsourcing campaign: A study on the relationships between indicators of trustworthiness, popularity, and success," Journal of Business Research, Elsevier, vol. 139(C), pages 484-495.
    7. Chaney, Damien, 2019. "A principal–agent perspective on consumer co-production: Crowdfunding and the redefinition of consumer power," Technological Forecasting and Social Change, Elsevier, vol. 141(C), pages 74-84.
    8. Laffey, Des & Durkin, Mark & Cummins, Darryl & Gandy, Anthony, 2021. "A shift in power? Value co-creation through successful crowdfunding," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    9. Yin, Xicheng & Wang, Hongwei & Wang, Wei & Zhu, Kevin, 2020. "Task recommendation in crowdsourcing systems: A bibliometric analysis," Technology in Society, Elsevier, vol. 63(C).
    10. Jiao, Yuanyuan & Wu, Yepeng & Lu, Steven, 2021. "The role of crowdsourcing in product design: The moderating effect of user expertise and network connectivity," Technology in Society, Elsevier, vol. 64(C).
    11. Luo, Chuan & Lan, Yao & (Robert) Luo, Xin & Li, Han, 2021. "The effect of commitment on knowledge sharing: An empirical study of virtual communities," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    12. 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).
    13. 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).
    14. Feng, Yuanyue & Yi, Zihui & Yang, Congcong & Chen, Ruoyi & Feng, Ye, 2022. "How do gamification mechanics drive solvers’ Knowledge contribution? A study of collaborative knowledge crowdsourcing," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
    15. Francesco Cappa & Federica Rosso & Darren Hayes, 2019. "Monetary and Social Rewards for Crowdsourcing," Sustainability, MDPI, vol. 11(10), pages 1-14, May.
    16. 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.
    17. 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.
    18. Cynthia Weiyi Cai & Jennifer Gippel & Yushu Zhu & Abhay Kumar Singh, 2019. "The power of crowds: Grand challenges in the Asia-Pacific region," Australian Journal of Management, Australian School of Business, vol. 44(4), pages 551-570, November.
    19. Regina Lenart-Gansiniec, 2017. "Virtual Knowledge Sharing in Crowdsourcing: Measurement Dilemmas," Journal of Entrepreneurship, Management and Innovation, Fundacja Upowszechniająca Wiedzę i Naukę "Cognitione", vol. 13(3), pages 95-123.
    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. Singh, Sonal H. & Bhowmick, Bhaskar & Eesley, Dale & Sindhav, Birud, 2021. "Grassroots innovation and entrepreneurial success: Is entrepreneurial orientation a missing link?," Technological Forecasting and Social Change, Elsevier, vol. 164(C).
    22. Mention, Anne-Laure & Barlatier, Pierre-Jean & Josserand, Emmanuel, 2019. "Using social media to leverage and develop dynamic capabilities for innovation," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 242-250.
    23. Dargahi, Rambod & Namin, Aidin & Ketron, Seth C. & Saint Clair, Julian K., 2021. "Is self-knowledge the ultimate prize? A quantitative analysis of participation choice in online ideation crowdsourcing contests," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
    24. 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).

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