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.
Sustainable business model innovation can effectively cope with the complex and changing external environment in the digital economy, which is the key for enterprises to gain sustainable competitive advantage, and entrepreneurship is closely related to sustainable business models. However, the process and mechanism of the role of entrepreneurship on sustainable business model innovation are not clear in existing studies. The purpose of this article is to illustrate how entrepreneurship leads to and influences sustainable business model innovation. Based on the perspective of digital capabilities, this article adopts an exploratory single-case study to explore the new connotation of entrepreneurship and its influence mechanism on sustainable business model innovation. The study found that innovation spirit, adventure spirit, and co-benefit entrepreneurship have emerged in the digital economy. Through the inherent role of digital sensing capabilities, digital seizing capabilities, and digital transformation capabilities, sustainable business model innovation is effectively designed and implemented to achieve multidimensional value creation and capture. This article adds to the latest literature on sustainable business model innovation for enterprises through case evidence.
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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