Abstract
Open innovation diffusion is of great significance to industrial transformation and upgrading, forming an open innovation ecosystem based on the patent publication. However, patent applicants contribute much knowledge to the public domain, and the communication channel, which is network proximity, does not receive much attention. This study aimed to explore the key driving factors of open innovation diffusion by constructing a theoretical framework that includes four proximity dimensions in the context of a global industrial chain. By taking artificial intelligence for healthcare as an example, this study applied the quadratic assignment procedure model to conduct an empirical analysis with a sample containing 62 patent applicants. The empirical result verified that the key drivers are from the proximity dimensions and the interactions. Technological proximity plays the leading role in innovation diffusion, while organizational and temporal proximities play secondary roles. In addition, the significant moderating effects suggest that the proximity dimensions interact in innovation activities. Moreover, the proximity framework provides an overview of innovation management and policy implication.
Highlights
Exploring the influence mechanism of the innovation diffusion process is necessary for the open innovation system, which helps to understand the dynamics that the technological innovation spreads to the public and avails to identify a more convenient practice path transforming innovation into products or services
The above correlation result shows that the four proximity dimensions all have a specific impact on the diffusion of open innovation
This study explored the influence mechanism of open innovation diffusion based on multiple proximity dimensions
Summary
Open innovation diffusion is of great significance to industrial transformation and upgrading, forming an open innovation ecosystem based on the patent publication. This study aimed to explore the key driving factors of open innovation diffusion by constructing a theoretical framework that includes four proximity dimensions in the context of a global industrial chain. The significant moderating effects suggest that the proximity dimensions interact in innovation activities. The innovation flow and diffusion in the open framework of the patent system is of great significance for industrial transformation. Exploring the influence mechanism of the innovation diffusion process is necessary for the open innovation system, which helps to understand the dynamics that the technological innovation spreads to the public and avails to identify a more convenient practice path transforming innovation into products or services
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Journal of Open Innovation: Technology, Market, and Complexity
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
