Purpose Industry–university–research cooperation (IURC) is a crucial way to build an innovative country. How to improve the effectiveness of IURC has become an important issue to be solved urgently. Design/methodology/approach This paper studies the data of industry, university and research activities in various regions of China from 2016 to 2018 and analyzes the impact mechanism of innovation input and open innovation environment on the effectiveness of IURC based on innovation value chain theory. Findings This research finds that innovative talent input has an inverted U-shaped impact on the effectiveness of IURC. When there are more innovative funds invested, the marginal effect of IURC will decrease. When innovative talent input exceeds a certain value, the open innovation environment can alleviate the positive marginal effect of its decline. Originality/value This paper contributes to the literature and provides practical guidelines for improving the efficacy of IURC.

In order to solve the problem of cross-time and cross-regional medical collaboration and distributed knowledge sharing across patients and medical teams for 24 hours a day in the context of global resource allocation, a new 24HrKF e-health service model is proposed and a key knowledge model of 24HrKF e-health team knowledge sharing is established based on existing research results combined with 24HrKF distributed team characteristics. Finally, the questionnaire data of 338 multinational medical team members are used to verify the impact of key factors on the knowledge sharing of medical teams. The results shows that factors such as information and communication technology, the hospital's cultural characteristics, cross-cultural communication, medical knowledge and skills, and trust all have a significantly positive impact on knowledge sharing among team members especially information and communication technology and medical knowledge and skills. However, the degree of time-span separation across time zones has no significant effect on the knowledge sharing among team members.

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Purpose Existing research on collaborative innovation mechanisms from the perspective of global operation is very limited. This paper aims to address the research gap by studying the factors influencing globally distributed teams’ innovation performance, especially how effective knowledge sharing between distributed teams promotes collaborative team innovation. Design/methodology/approach This research proposes a model to investigate how collaborative knowledge sharing affects global operations [team dispersion, task orientation, information and communication technology (ICT) usage] and innovation performance based on the data collected from 167 managers in 40 local Chinese IT and offshoring firms. Using the theory of Cognitive Diversity and Innovation Diffusion and Synergy, separate hierarchical regression analysis was used to test the proposed model. Findings The findings of this study demonstrate that effective collaborative knowledge sharing plays a crucial role in enhancing innovation performance in a global operation. Specifically, innovation capacity can be improved by task orientation, ICT usage and team dispersion. Originality/value This research study contributes to the development of global distributed operations and innovation among distributed teams in multinational corporations.

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