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User Participation Behavior in Crowdsourcing Platforms: Impact of Information Signaling Theory

School of Economics and Management, Hebei University of Technology, Tianjin 300401, China
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Academic Editor: Andrea Pérez
Sustainability 2021, 13(11), 6290; https://doi.org/10.3390/su13116290
Received: 21 April 2021 / Revised: 20 May 2021 / Accepted: 31 May 2021 / Published: 2 June 2021
As a type of open innovation, emerging crowdsourcing platforms have garnered significant attention from users and companies. This study aims to determine how online seeker signals affect the user participation behavior of the solver in the open innovation crowdsourcing community, by means of which to achieve the long-term sustainable development of the emerging crowdsourcing platform. We performed data analysis based on the system of regression equation approach in order to conduct quantitative research. We found that online reputation and salary comparison positively influence user participation behavior, and that interpersonal trust acts as a strong mediator in the relationship between salary comparison and user participation behavior. In addition, we observed an elevation in task information diversification as a moderator, which positively affects online seeker signals on user participation behavior. Furthermore, an upsurge was noted in task information overload as a moderator, which adversely affects online seeker signals on user participation behavior. The contributions of this article include the application of the innovative signal transmission model, and online task information quality has important guiding significance on how to design task descriptions for emerging crowdsourcing platforms in order to stimulate user participation behavior. View Full-Text
Keywords: open innovation; emerging crowdsourcing platform; sustainable development; signaling; interpersonal trust; user participation behavior; online task information quality open innovation; emerging crowdsourcing platform; sustainable development; signaling; interpersonal trust; user participation behavior; online task information quality
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MDPI and ACS Style

Gao, S.; Jin, X.; Zhang, Y. User Participation Behavior in Crowdsourcing Platforms: Impact of Information Signaling Theory. Sustainability 2021, 13, 6290. https://doi.org/10.3390/su13116290

AMA Style

Gao S, Jin X, Zhang Y. User Participation Behavior in Crowdsourcing Platforms: Impact of Information Signaling Theory. Sustainability. 2021; 13(11):6290. https://doi.org/10.3390/su13116290

Chicago/Turabian Style

Gao, Suying, Xiangshan Jin, and Ye Zhang. 2021. "User Participation Behavior in Crowdsourcing Platforms: Impact of Information Signaling Theory" Sustainability 13, no. 11: 6290. https://doi.org/10.3390/su13116290

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