‘Buzz-and-Pipeline’ Dynamics in AI Innovation Network: A Case Study of Zhangjiang National Innovation Demonstration Zone, Shanghai
The success of a cluster depends on the interplay between intra- and inter-regional collaboration, while empirical research on the mechanisms through which intra- and inter-regional collaborations trigger cluster growth is rarely focused. Based on the local buzz–global pipelines framework and incorp...
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| Format: | Article |
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MDPI AG
2025-01-01
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| Online Access: | https://www.mdpi.com/2073-445X/14/1/114 |
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| author | Yuanyuan Wan Gang Zeng Jiawei Wang Lin Zou |
| author_facet | Yuanyuan Wan Gang Zeng Jiawei Wang Lin Zou |
| author_sort | Yuanyuan Wan |
| collection | DOAJ |
| description | The success of a cluster depends on the interplay between intra- and inter-regional collaboration, while empirical research on the mechanisms through which intra- and inter-regional collaborations trigger cluster growth is rarely focused. Based on the local buzz–global pipelines framework and incorporating an evolutionary perspective, we explore how intra- and inter-regional innovation networks can be integrated to drive the growth of emerging industries. We draw on Zhangjiang, China’s most advanced AI industry cluster, using social network analysis and qualitative methods, combining patent data with semi-structured interviews. The results indicate that with the return of multinational corporations and the limitation of Western technology, universities have become the primary source of AI innovation in Zhangjiang. The government has played a pivotal role in propelling the accelerated growth of China’s AI industry, particularly through the backing of pioneering AI private enterprises and the calibration of the potential inefficiencies associated with a state-led model with the dynamism of market forces. The ‘Buzz-and-pipeline’ dynamics in the AI innovation network are shaped by four processes: local networking, market demand, resource integration, and policy synergy. This underscores the intricate interconnections between the national and local scales in AI innovation networks. |
| format | Article |
| id | doaj-art-60004a1e11c54cd98386d333d7d06ce5 |
| institution | Kabale University |
| issn | 2073-445X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Land |
| spelling | doaj-art-60004a1e11c54cd98386d333d7d06ce52025-01-24T13:37:57ZengMDPI AGLand2073-445X2025-01-0114111410.3390/land14010114‘Buzz-and-Pipeline’ Dynamics in AI Innovation Network: A Case Study of Zhangjiang National Innovation Demonstration Zone, ShanghaiYuanyuan Wan0Gang Zeng1Jiawei Wang2Lin Zou3The Center for Modern Chinese City Studies, East China Normal University, Shanghai 200062, ChinaThe Center for Modern Chinese City Studies, East China Normal University, Shanghai 200062, ChinaThe Center for Modern Chinese City Studies, East China Normal University, Shanghai 200062, ChinaInstitute of Management, Shanghai University of Engineering Science, Shanghai 201620, ChinaThe success of a cluster depends on the interplay between intra- and inter-regional collaboration, while empirical research on the mechanisms through which intra- and inter-regional collaborations trigger cluster growth is rarely focused. Based on the local buzz–global pipelines framework and incorporating an evolutionary perspective, we explore how intra- and inter-regional innovation networks can be integrated to drive the growth of emerging industries. We draw on Zhangjiang, China’s most advanced AI industry cluster, using social network analysis and qualitative methods, combining patent data with semi-structured interviews. The results indicate that with the return of multinational corporations and the limitation of Western technology, universities have become the primary source of AI innovation in Zhangjiang. The government has played a pivotal role in propelling the accelerated growth of China’s AI industry, particularly through the backing of pioneering AI private enterprises and the calibration of the potential inefficiencies associated with a state-led model with the dynamism of market forces. The ‘Buzz-and-pipeline’ dynamics in the AI innovation network are shaped by four processes: local networking, market demand, resource integration, and policy synergy. This underscores the intricate interconnections between the national and local scales in AI innovation networks.https://www.mdpi.com/2073-445X/14/1/114innovation collaborationlocal buzzglobal pipelinesartificial intelligence (AI)Zhangjiang National Innovation Demonstration ZoneChina |
| spellingShingle | Yuanyuan Wan Gang Zeng Jiawei Wang Lin Zou ‘Buzz-and-Pipeline’ Dynamics in AI Innovation Network: A Case Study of Zhangjiang National Innovation Demonstration Zone, Shanghai Land innovation collaboration local buzz global pipelines artificial intelligence (AI) Zhangjiang National Innovation Demonstration Zone China |
| title | ‘Buzz-and-Pipeline’ Dynamics in AI Innovation Network: A Case Study of Zhangjiang National Innovation Demonstration Zone, Shanghai |
| title_full | ‘Buzz-and-Pipeline’ Dynamics in AI Innovation Network: A Case Study of Zhangjiang National Innovation Demonstration Zone, Shanghai |
| title_fullStr | ‘Buzz-and-Pipeline’ Dynamics in AI Innovation Network: A Case Study of Zhangjiang National Innovation Demonstration Zone, Shanghai |
| title_full_unstemmed | ‘Buzz-and-Pipeline’ Dynamics in AI Innovation Network: A Case Study of Zhangjiang National Innovation Demonstration Zone, Shanghai |
| title_short | ‘Buzz-and-Pipeline’ Dynamics in AI Innovation Network: A Case Study of Zhangjiang National Innovation Demonstration Zone, Shanghai |
| title_sort | buzz and pipeline dynamics in ai innovation network a case study of zhangjiang national innovation demonstration zone shanghai |
| topic | innovation collaboration local buzz global pipelines artificial intelligence (AI) Zhangjiang National Innovation Demonstration Zone China |
| url | https://www.mdpi.com/2073-445X/14/1/114 |
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