The DOI matches its Crossref record; 80 of the 80 references it cites were found in a registry or an index.
Task Design, Motivation, and Participation in Crowdsourcing Contests
Abstract
Firms can seek innovative external ideas and solutions to business tasks by sponsoring co-creation activities such as crowdsourcing. To get optimal solutions from crowdsourcing contest participants, firms need to improve task design and motivate contest solvers' participation in the co-creation process. Based on the theory of extrinsic and intrinsic motivation as well as the theory of job design, we developed a research model to explain participation in crowdsourcing contests, as well as the effects of task attributes on intrinsic motivation. Subjective and objective data were collected from 283 contest solvers at two different time points. We found that intrinsic motivation was more important than extrinsic motivation in inducing participation. Contest autonomy, variety, and analyzability were positively associated with intrinsic motivation, whereas contest tacitness was negatively associated with intrinsic motivation. The findings suggest a balanced view of extrinsic and intrinsic motivation in order to encourage participation in crowdsourcing. We also suggest that crowdsourcing contest tasks should preferably be highly autonomous, explicitly specified, and less complex, as well as require a variety of skills.
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“” Although social interactions and shared experience among members should be encouraged in order to transfer tacit knowledge in the organizational context [51], most participants in crowdsourcing contests have a very limited amount of time to engage in social interactions with sponsors [35].”
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Cited by
Chua, R. Y. J., Roth, Y., & Lemoine, J.-F. (2015) · Administrative Science Quarterly · doi:10.1177/0001839214563595 · Cited by 433
Entrepreneurial ecosystems: a systematic review
Maroufkhani, P., Wagner, R., & Wan Ismail, W. K. (2018) · Journal of Enterprising Communities: People and Places in the Global Economy · doi:10.1108/jec-03-2017-0025 · Cited by 167
Microphones, not megaphones: Functional crowdworker voice regimes on digital work platforms
Gegenhuber, T., Ellmer, M., & Schüßler, E. (2021) · Human Relations · doi:10.1177/0018726720915761 · Cited by 115
Simons, R. N., Gurari, D., & Fleischmann, K. R. (2020) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3415176 · Cited by 27
Metadata
- Authors
- Zheng, H., Li, D., & Hou, W.
- Venue
- International Journal of Electronic Commerce
- Publisher
- Informa UK Limited
- Published
- 2011-07
- Volume
- 15
- Issue
- 4
- Pages
- 57-88
- ISSN
- 1086-4415 (ISSN-L)
- 1557-9301
- OpenAlex
- W2046406837
- Cited by
- 538
- References
- 80
- FWCI
- 38.53
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.