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Feature and Tendency of Technology Transfer in Z-Park Patent Cooperation Network: From the Perspective of Global Optimal Path.

Authors :
Guan, Jun
Xu, Jingying
Han, Yu
Wang, Dawei
Xing, Lizhi
Source :
Journal of Data & Information Science. Nov2021, Vol. 6 Issue 4, p111-138. 28p.
Publication Year :
2021

Abstract

This study aims to provide a new framework for analyzing the path of technology diffusion in the innovation network at the regional level and industrial level respectively, which is conducive to the integration of innovation resources, the coordinated development of innovative subjects, and the improvement of innovation abilities. Based on the Z-Park patent cooperation data, we establish Inter-Enterprise Technology Transfer Network model and apply the concept of Pivotability to describe the key links of technology diffusion and quantify the importance of innovative partnerships. By measuring the topologically structural characteristics in the levels of branch park and the technosphere, this paper demonstrates how technology spreads and promotes overall innovation activities within the innovation network. The results indicate that: (1) Patent cooperation network of the Z-Park displays heterogeneity and the connections between the innovative subjects distribute extremely uneven. (2) Haidian park owns the highest pivotability in the IETTN model, yet the related inter-enterprise patent cooperation is mainly concentrated in its internal, failing to facilitate the technology diffusion across multiple branch parks. (3) Such fields as "electronics and information" and "advanced manufacturing" are prominent in the cross-technosphere cooperation, while fields such as "new energy" and "environmental protection technology" can better promote industrial integration. Only the part of the joint patent application is taken into account while establishing the patent cooperation network. The other factors that influence the mechanism of technology diffusion in the innovation network need to be further studied, such as financial capital, market competition, and personnel mobility, etc. The findings of this paper will provide useful information and suggestions for the administration and policy-making of high-tech parks. The value of this paper is to build a bridge between the massive amount of patent data and the nature of technology diffusion, and to develop a set of tools to analyze the nonlinear relations between innovative subjects. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
2096157X
Volume :
6
Issue :
4
Database :
Academic Search Index
Journal :
Journal of Data & Information Science
Publication Type :
Academic Journal
Accession number :
153474767
Full Text :
https://doi.org/10.2478/jdis-2021-0034