Innovation ecosystems theory revisited: The case of artificial intelligence in China

被引:66
作者
Arenal, Alberto [1 ,3 ]
Armuna, Cristina [1 ,3 ]
Feijoo, Claudio [2 ]
Ramos, Sergio [3 ]
Xu, Zimu [4 ]
Moreno, Ana [1 ]
机构
[1] Tech Univ Madrid, Jose Gutierrez Abascal St 2, Madrid 28006, Spain
[2] Tongi Univ, Univ Politecn Madrid Sino Spanish Campus, Shanghai 200092, Peoples R China
[3] Natl Distance Learning Univ, Paseo Senda Rey 11, Madrid 28040, Spain
[4] Coventry Univ, Int Ctr Transformat Entrepreneurship, Coventry, W Midlands, England
基金
中国国家自然科学基金;
关键词
Artificial intelligence; China; Innovation ecosystems; Ecosystems theory; Triple helix; TRIPLE-HELIX; NATIONAL SYSTEMS; DYNAMICS; POLICY; STRATEGY;
D O I
10.1016/j.telpol.2020.101960
中图分类号
G2 [信息与知识传播];
学科分类号
05 ; 0503 ;
摘要
Beyond the mainstream discussion on the key role of China in the global AI landscape, the knowledge about the real performance and future perspectives of the AI ecosystem in China is still limited. This paper evaluates the status and prospects of China's AI innovation ecosystem by developing a Triple Helix framework particularized for this case. Based on an in-depth qualitative study and on interviews with experts, the analysis section summarizes the way in which the AI innovation ecosystem in China is being built, which are the key features of the three spheres of the Triple Helix-governments, industry and academic/research institutions-as well as the dynamic context of the ecosystem through the identification of main aspects related to the flows of skills, knowledge and funding and the interactions among them. Using this approach, the discussion section illustrates the specificities of the AI innovation ecosystem in China, its strengths and its gaps, and which are its prospects. Overall, this revisited ecosystem approach permits the authors to address the complexity of emerging environments of innovation to draw meaningful conclusions which are not possible with mere observation. The results show how a favourable context, the broad adoption rate and the competition for talent and capital among regionalspecialized clusters are boosting the advance of AI in China, mainly in the business to customer arena. Finally, the paper highlights the challenges ahead in the current implementation of the ecosystem that will largely determine the potential global leadership of China in this domain.
引用
收藏
页数:27
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