The co-evolution of internal knowledge characteristics of cities and external technology transfer: based on a cross-level network perspective.
Saved in:
| Authors: | Wang, Keping1 (AUTHOR) lssywkp@126.com, Dong, Ying1 (AUTHOR) dongying@zust.edu.cn |
|---|---|
| Source: | Journal of Technology Transfer. Jun2026, Vol. 51 Issue 3, p1510-1535. 26p. |
| Subject Terms: | *Technology transfer, *Economic development, *Open innovation, Knowledge base, Urban studies, Social network theory |
| Geographic Terms: | Yangtze River Delta (China) |
| Abstract: | This study adopts a cross-level network perspective to analyze 41 cities in the Yangtze River Delta (2013–2018) using granted invention patent and transfer data. By constructing a multilevel framework encompassing city-knowledge networks and urban technology transfer networks, it explores the co-evolution of internal innovation strategies and external partner searches through social network and open innovation theories. The results reveal that knowledge diversity hinders technology transfer, whereas technology transfer fosters knowledge diversity and drives knowledge structure differentiation across cities. Higher knowledge proximity strengthens technology transfer ties. Additionally, city openness and administrative level mitigate the negative impact of knowledge diversity on technology transfer, while economic development and innovation capability amplify both the positive effect of technology transfer on knowledge diversity and its negative impact on knowledge proximity. These findings highlight a dynamic, bidirectional interaction between urban knowledge characteristics and technology transfer, enriching social network and open innovation theory while providing practical insights for cities to balance internal innovation with external collaborations. [ABSTRACT FROM AUTHOR] |
| Database: | Entrepreneurial Studies Source |
|
Full text is not displayed to guests.
Login for full access.
|
|
| Abstract: | This study adopts a cross-level network perspective to analyze 41 cities in the Yangtze River Delta (2013–2018) using granted invention patent and transfer data. By constructing a multilevel framework encompassing city-knowledge networks and urban technology transfer networks, it explores the co-evolution of internal innovation strategies and external partner searches through social network and open innovation theories. The results reveal that knowledge diversity hinders technology transfer, whereas technology transfer fosters knowledge diversity and drives knowledge structure differentiation across cities. Higher knowledge proximity strengthens technology transfer ties. Additionally, city openness and administrative level mitigate the negative impact of knowledge diversity on technology transfer, while economic development and innovation capability amplify both the positive effect of technology transfer on knowledge diversity and its negative impact on knowledge proximity. These findings highlight a dynamic, bidirectional interaction between urban knowledge characteristics and technology transfer, enriching social network and open innovation theory while providing practical insights for cities to balance internal innovation with external collaborations. [ABSTRACT FROM AUTHOR] |
|---|---|
| ISSN: | 08929912 |
| DOI: | 10.1007/s10961-025-10203-z |
