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User Motivation And Knowledge Sharing In Idea Crowdsourcing

Author

Listed:
  • MIIA KOSONEN

    (Lappeenranta, Finland)

  • CHUNMEI GAN

    (Sun Yat-sen University, No. 132, Waihuandong Road, University City, Guangzhou 510006, Guangdong, P. R. China)

  • MIKA VANHALA

    (Lappeenranta University of Technology, School of Business, P. O. Box 20, 53851 Lappeenranta, Finland)

  • KIRSIMARJA BLOMQVIST

    (Lappeenranta University of Technology, School of Business, P. O. Box 20, 53851 Lappeenranta, Finland)

Abstract

We investigate how the propensity to trust, intrinsic motivation, and extrinsic motivation drive the intentions of individuals to share knowledge in idea crowdsourcing. Building on motivation theories and Uses & Gratifications (U&G) approach, we conducted a web-based survey within IdeasProject, an open innovation and brainstorming community dedicated to harvesting ideas. Based on a sample of 244 users, our research shows that the key driver of knowledge-sharing intentions is made up of two intrinsic motivations — social benefits and learning benefits. We also found that recognition from the host company affects intention to share knowledge. From the management point of view, the relative importance of social integrative benefits calls for better facilities available for users to be able to help each other in formulating and developing their ideas. Learning and creativity could be inspired by feedback from professionals and experts, while providing insight into technological advances and features dealing with the current tasks.

Suggested Citation

  • Miia Kosonen & Chunmei Gan & Mika Vanhala & Kirsimarja Blomqvist, 2014. "User Motivation And Knowledge Sharing In Idea Crowdsourcing," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 18(05), pages 1-23.
    • Handle: RePEc:wsi:ijimxx:v:18:y:2014:i:05:n:s1363919614500315
    DOI: 10.1142/S1363919614500315
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    Citations

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    Cited by:

    1. Stanko, Michael A. & Allen, B.J., 2022. "Disentangling the collective motivations for user innovation in a 3D printing community," Technovation, Elsevier, vol. 111(C).
    2. 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.
    3. Stephen Fox, 2016. "Dismantling The Box — Applying Principles For Reducing Preconceptions During Ideation," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 20(06), pages 1-27, August.
    4. 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.
    5. 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.
    6. Nam, Jinyoung & Jung, Yoonhyuk, 2022. "Exploring fans’ participation in digital media: Transcreation of webtoons," Telecommunications Policy, Elsevier, vol. 46(10).
    7. Dr. Gilbert E. Jones, 2017. "Knowledge sharing and technological innovation: The effectiveness of trust, training, and good communication," Cogent Business & Management, Taylor & Francis Journals, vol. 4(1), pages 1387958-138, January.
    8. Martin Meißner & Michelle D. Haurand & Christian Stummer, 2019. "With a Little Help from My Customers: The Influence of Customer Empowerment on Consumers’ Perceptions of Well-Established Brands," World Scientific Book Chapters, in: Alexander Brem & Joe Tidd & Tugrul Daim (ed.), Managing Innovation Understanding and Motivating Crowds, chapter 14, pages 367-394, World Scientific Publishing Co. Pte. Ltd..
    9. 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.
    10. Mario Schaarschmidt & Dirk Homscheid & Thomas Kilian, 2019. "Application Developer Engagement In Open Software Platforms: An Empirical Study Of Apple Ios And Google Android Developers," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 23(04), pages 1-33, May.
    11. Clegg, Melanie & Hofstetter, Reto & Blohm, Ivo & Bravin, Marc, 2022. "Human-Machine Creativity – How AI Can Influence Human Creativity in Open Innovation," Marketing Review St.Gallen, Universität St.Gallen, Institut für Marketing und Customer Insight, vol. 39(6), pages 40-47.
    12. Parwita Setya Wardhani & Wulandari Harjanti & Charis Trinovianto & Ronald Insan Gunawan, 2023. "Sharing Scientometric Approach: Intrinsic Motivation and Knowledge," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 7(1), pages 1343-1351, January.
    13. Mubarak, Muhammad Faraz & Petraite, Monika, 2020. "Industry 4.0 technologies, digital trust and technological orientation: What matters in open innovation?," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    14. Xuanwei Zhao & Enjun Xia, 2016. "Research On The Operation Mechanism Of Network Crowdsourcing System And Constitutions Of Crowdsourcing Capability," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 20(07), pages 1-18, October.
    15. Pee, L.G. & Koh, E. & Goh, M., 2018. "Trait motivations of crowdsourcing and task choice: A distal-proximal perspective," International Journal of Information Management, Elsevier, vol. 40(C), pages 28-41.
    16. Ivan Fedorenko & Pierre Berthon, 2017. "Beyond the expected benefits: unpacking value co-creation in crowdsourcing business models," AMS Review, Springer;Academy of Marketing Science, vol. 7(3), pages 183-194, December.

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