Abstract
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.
Highlights
The rapid advancement of the service economy has created an environment where a company’s product development and design are no longer restricted to its own innovation
We explored the roles of task information diversification and task information overload in moderating the correlation
Based on the results shown in column 2, we find that there is a significant positive correlation between online reputation and user participation behavior (β = 0.03, p < 0.01)
Summary
The rapid advancement of the service economy has created an environment where a company’s product development and design are no longer restricted to its own innovation. Crowdsourcing platforms are means that use the Internet to provide external knowledge to companies for open innovation [3]. Owing to the advancement of modern information technology, crowdsourcing platforms offer the advantages of low costs and multiple channels, which facilitate multiple users to resolve research and development issues, program design, and other innovative tasks through crowdsourcing platforms like Innocentive, ZBJ.COM, and Taskcn.com. Domestic open innovation is prevalent on several platforms, among which the leading and most valuable is the crowdsourcing platform. The domestic crowdsourcing platform has numerous seekers and tasks. Many domestic crowdsourcing websites, such as Taskcn.com, cannot attract enough solvers to participate in the tasks, resulting in the unsustainable development of the platform, and these sites currently face many problems. While the seeker releases significant information, the solver has inadequate motivation to participate in the task.
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