Author(s)

Zhaogang Fu ^1,2, Yu Fan ^1,2, Miaoling Liu ¹, Weilai Hao ¹

Affiliation(s)

¹ Business School, Lingnan Normal University, Zhanjiang, Guangdong, China
² Guangdong Coastal Economic Belt Development Research Center, Lingnan Normal University, Zhanjiang, Guangdong, China

Corresponding Author

Zhaogang Fu

ABSTRACT

Under the background that China takes innovation drive as the main battlefield, this paper used Vensim DSS software to simulate and analyze the change trend of knowledge potential energy, knowledge innovation rate and knowledge transfer rate of high manufacturing & tech-service industry based on dynamic system theory and innovation synergy theory. Taking Hengqin in Zhuhai as the case object, the paper selected five factors, including knowledge demand of manufacturing enterprises, knowledge absorption capacity, government incentive mechanism, financial investment and talent construction, to analyze the impact of knowledge integration, and the sensitivity of its innovation rate. The conclusion was that the knowledge innovation rate and knowledge transfer rate of high manufacturing & tech-service industry increase with knowledge potential energy’ increasing, that mean the five factors had an optimistic effect on the innovation rate. The application of the research results would help promote the knowledge integration in key regions of China and the development of high-end high manufacturing.

KEYWORDS

Knowledge fusion, collaborative innovation, industrial upgrading, knowledge transfer

CITE THIS PAPER

Zhaogang Fu, Yu Fan, Miaoling Liu, Weilai Hao, Research on the Impact of Knowledge Integration on Collaborative Innovation between High Manufacturing & Tech-service Industry. Industrial Engineering and Innovation Management (2022) Vol. 5: 50-62. DOI: http://dx.doi.org/10.23977/ieim.2022.051308.

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