Does innovative city construction improve the industry–university–research knowledge flow in urban China?

2022 ◽  
Vol 174 ◽  
pp. 121200
Author(s):  
Shaopeng Zhang ◽  
Xiaohong Wang
Keyword(s):  
Urban China ◽  
University Research ◽  
Knowledge Flow ◽  
Research Knowledge ◽  
City Construction

AI Platform for Building University Research Knowledge Base

2014 ◽  
pp. 405-414 ◽  
Author(s):  
Jakub Koperwas ◽  
Łukasz Skonieczny ◽  
Marek Kozłowski ◽  
Piotr Andruszkiewicz ◽  
Henryk Rybiński ◽  
...  
Keyword(s):  
Knowledge Base ◽  
University Research ◽  
Research Knowledge

Innovation ability of industry-university-research cooperation and innovation considering split-combined quadratic big data dynamic model construction

2020 ◽  
pp. 002072092092965
Author(s):  
Yan Qing ◽  
Wang Qi
Keyword(s):  
Dynamic Model ◽  
Influencing Factors ◽  
Innovation Process ◽  
University Research ◽  
Three Dimensions ◽  
Research Knowledge ◽  
Core Competitiveness ◽  
Research Cooperation ◽  
Innovation Ability ◽  
The Difference

The innovation of industry, university and research cooperation innovation ability can increase the core competitiveness of enterprises, promote the further implementation, promote the cooperation and innovation ability of university enterprises, and enhance the comprehensive strength of the country. This study analyzes the knowledge transformation law revealed by the three exploratory cases from the three dimensions of knowledge coding, abstraction and diffusion, and proposes the knowledge space (K space) analysis framework of industry-university-research cooperation, and based on knowledge in K the difference in spatial position divides the knowledge form. The ability to acquire knowledge in four stages of industry-university-research cooperation innovation process positively influences the production, study and research knowledge to create performance, and helps propensity score matching method, build Industry-university-research cooperation innovation ability, enhances split-merger quadratic dynamic model, analyzes the influencing factors of knowledge innovation ability enhancement in industry-university-research cooperation, and supports the dynamic scalability of industry-university-research cooperation topology and the underlying transmission mechanism for industry-university-research cooperation innovation data. The dynamic mapping strategy between the operation node and the operation node was designed and improved. The key influencing factors of the knowledge digestion process, the key influencing factors of the knowledge sharing process and the key influencing factors of the knowledge proliferation process were verified based on the dynamic model. Industry, university and research cooperation innovation ability provides countermeasures.

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