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The boundary of crowdsourcing in the domain of creativity✰

Author

Listed:
  • Ren, Jie
  • Han, Yue
  • Genc, Yegin
  • Yeoh, William
  • Popovič, Aleš

Abstract

Studies promote crowdsourcing as an alternative source of creativity for companies. By investigating whether a boundary exists in crowdsourcing for innovation, we aim to identify the conditions under which the generic crowd (mainly consisting of novices, instead of professionals) is less creative. Based on the componential theory of creativity, we compare the crowd's and professionals’ creativity, focusing on generalist versus specialist tasks. Leveraging online experiments and semantic analysis, we find that the crowd is more creative than professionals in solving generalist tasks. However, the crowd is less innovative than professionals in solving specialist tasks, thereby suggesting a boundary to crowdsourcing. Nevertheless, to solve specialist tasks, members of the crowd can gain relevant knowledge by exposing themselves to each other's ideas, thereby suggesting an attempt to break the boundary. This study offers new insights into the boundary of crowdsourcing for innovation.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:tefoso:v:165:y:2021:i:c:s0040162520313561
    DOI: 10.1016/j.techfore.2020.120530
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    as
    1. 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.
    2. 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.
    3. 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.
    4. Alexander Brem & Rogelio Puente-Díaz & Marine Agogué, 2017. "Creativity and Innovation: State of the Art and Future Perspectives for Research," World Scientific Book Chapters, in: Alexander Brem & Rogelio Puente-Diaz & Marine Agogué (ed.), The Role of Creativity in the Management of Innovation State of the Art and Future Research Outlook, chapter 1, pages 1-12, World Scientific Publishing Co. Pte. Ltd..
    5. Yuxiang Zhao & Qinghua Zhu, 2014. "Evaluation on crowdsourcing research: Current status and future direction," Information Systems Frontiers, Springer, vol. 16(3), pages 417-434, July.
    6. Juncai Jiang & Yu Wang, 2020. "A Theoretical and Empirical Investigation of Feedback in Ideation Contests," Production and Operations Management, Production and Operations Management Society, vol. 29(2), pages 481-500, February.
    7. Scaringella, Laurent & Radziwon, Agnieszka, 2018. "Innovation, entrepreneurial, knowledge, and business ecosystems: Old wine in new bottles?," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 59-87.
    8. Elia, Gianluca & Margherita, Alessandro & Passiante, Giuseppina, 2020. "Digital entrepreneurship ecosystem: How digital technologies and collective intelligence are reshaping the entrepreneurial process," Technological Forecasting and Social Change, Elsevier, vol. 150(C).
    9. Elia, Gianluca & Margherita, Alessandro, 2018. "Can we solve wicked problems? A conceptual framework and a collective intelligence system to support problem analysis and solution design for complex social issues," Technological Forecasting and Social Change, Elsevier, vol. 133(C), pages 279-286.
    10. Joshua J. Clarkson & Chris Janiszewski & Melissa D. Cinelli, 2013. "The Desire for Consumption Knowledge," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 39(6), pages 1313-1329.
    11. Boons, Mark & Stam, Daan, 2019. "Crowdsourcing for innovation: How related and unrelated perspectives interact to increase creative performance," Research Policy, Elsevier, vol. 48(7), pages 1758-1770.
    12. Dedehayir, Ozgur & Mäkinen, Saku J. & Roland Ortt, J., 2018. "Roles during innovation ecosystem genesis: A literature review," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 18-29.
    13. 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.
    14. Renard, Damien & Davis, Joseph G., 2019. "Social interdependence on crowdsourcing platforms," Journal of Business Research, Elsevier, vol. 103(C), pages 186-194.
    15. 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.
    16. Scott Deerwester & Susan T. Dumais & George W. Furnas & Thomas K. Landauer & Richard Harshman, 1990. "Indexing by latent semantic analysis," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 41(6), pages 391-407, September.
    17. Ogink, Timko & Dong, John Qi, 2019. "Stimulating innovation by user feedback on social media: The case of an online user innovation community," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 295-302.
    18. Nadia Steils & Salwa Hanine, 2019. "Recruiting valuable participants in online IDEA generation: The role of brief instructions," Post-Print hal-02117668, HAL.
    19. Acar, Oguz A., 2019. "Motivations and solution appropriateness in crowdsourcing challenges for innovation," Research Policy, Elsevier, vol. 48(8), pages 1-1.
    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.
    21. Schenk, Eric & Guittard, Claude & Pénin, Julien, 2019. "Open or proprietary? Choosing the right crowdsourcing platform for innovation," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 303-310.
    22. Zhu, Hangzi & Kock, Alexander & Wentker, Marc & Leker, Jens, 2019. "How Does Online Interaction Affect Idea Quality? The Effect of Feedback in Firm-internal Idea Competitions," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 118973, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    23. 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.
    24. Christoph Riedl & Victor P. Seidel, 2018. "Learning from Mixed Signals in Online Innovation Communities," Organization Science, INFORMS, vol. 29(6), pages 1010-1032, December.
    25. repec:eee:respol:v:48:y:2019:i:8:p:- is not listed on IDEAS
    26. Anna Feldmann & Frank Teuteberg, 2020. "Understanding the Factors Affecting Employees’ Motivation to Engage in Co-Creation in the Banking Industry," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 17(02), pages 1-21, April.
    27. 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.
    28. Laurent Scaringella & Agnieszka Radziwon, 2018. "Innovative Entrepreneurial Knowledge-based Business Ecosystems: Old Wine in New Bottles?," Post-Print hal-01953922, HAL.
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