Bibliometric Analysis on Collaborative Innovation of Industry-University-Research Based on Knowledge Map

Autor: Zhi-hong Zhu, Da-wei Xue, Qiu-lin Leng
Rok vydání: 2020
Předmět:
Zdroj: DEStech Transactions on Social Science, Education and Human Science.
ISSN: 2475-0042
DOI: 10.12783/dtssehs/eelss2020/34640
Popis: The knowledge graph analysis method was used to study the literature related to the collaborative innovation of industry-university-research published in CSSCI from 2007 to 2019. The literature measurement analysis was conducted in terms of the number of papers published annually, research evolution path, hot spots and frontiers. The results show that the theoretical research on collaborative innovation of industry-university-institute is gradually maturing. The cooperation of industry-university-institute, influencing factors of collaborative innovation of industry-university-institute, talent cultivation and management, and regional construction are hot research topics. The research frontier is knowledge transfer, modularization, profit distribution, government-industry-university-research.
Databáze: OpenAIRE