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Purpose The purpose of this study is to investigate the mechanism of shared leadership on team members’ innovative behavior. Design/methodology/approach Paired questionnaires were collected from 89 scientific research teams in the Beijing-Tianjin-Hebei region of China at two-time points with a time lag of 4 months. Then multilevel structural equation model method was applied to analyze the multiple mediating effects. Findings This study finds that: the form of shared leadership in scientific research teams of universities; shared leadership has a positive impact on team members’ innovative behavior; there are multiple mediations in the relationship including synchronization and sequence of creative self-efficacy and achievement motivation. Originality/value According to the “stimulus-organism-response” model, this paper has constructed a multi-level theoretical model that shared leadership influences individual innovation behavior and reveals the “black box” from the perspective of psychological mechanism. It not only verifies that “can-do” shapes “willing to do” but also makes up for the gap of an empirical test of the effectiveness of shared leadership in scientific research teams of universities. Besides, the formal scale of shared leadership in the Chinese situation is revised, which can provide a reference for future empirical research on shared leadership. The research conclusions provide new ideas for improving the management of scientific research teams in universities.

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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.

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