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Innovation ability of industry-university-research cooperation and innovation considering split-combined quadratic big data dynamic model construction
The International Journal of Electrical Engineering & Education Pub Date : 2020-06-19 , DOI: 10.1177/0020720920929659
Yan Qing 1 , Wang Qi 2
Affiliation  

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.



中文翻译:

考虑拆分组合二次大数据动态模型构建的产学研合作与创新能力

产学研合作创新能力的创新可以提高企业的核心竞争力,促进企业的进一步实施,增强大学企业的合作创新能力,增强国家综合实力。本研究从知识编码,抽象和扩散三个维度分析了三种探索性案例揭示的知识转化规律,提出了基于产学研合作的知识空间(K空间)分析框架。空间位置的差异划分了知识形式。在产学研合作创新过程的四个阶段中获取知识的能力会对生产产生积极影响,研究和研究知识以创造绩效,并帮助倾向得分匹配方法,建立产学研合作创新能力,增强拆分合并二次动力学模型,分析产学研合作中知识创新能力增强的影响因素,并支持产学研合作拓扑的动态可扩展性以及产学研合作创新数据的底层传输机制。设计并改进了操作节点与操作节点之间的动态映射策略。知识消化过程的关键影响因素,基于动态模型,验证了知识共享过程的关键影响因素和知识扩散过程的关键影响因素。产学研合作创新能力提供了对策。

更新日期:2020-06-19
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