Context-Driven AI Innovation Ecosystems:Logic and Pathways
Yin Ximing1,2, Su Yaxin1, Chen Tailun3, Chen Jin2,4, Li Jizhen2,4
1. School of Management,Beijing Institute of Technology,Beijing 100081,China; 2. Research Center for Technological Innovation,Tsinghua University,Beijing 100084,China; 3. School of Management,Zhejiang University,Hangzhou 310058, China; 4. School of Economics and Management,Tsinghua University,Beijing 100084,China
Abstract：The new generation of AI wave triggered by generative AI represented by ChatGPT has swept across the world,and has become a new opportunity of the new round of industrial revolution,a new focus of international competition,and a new engine of new-quality productivity.How to grasp the digital opportunity to accelerate AI innovation and landing has become the key to core technology breakthrough and competitive advantage construction.However,existing management research focuses on the governance of AI and its enabling value for innovation and development,while few scholars have explored new paradigms for AI technology innovation and application in response to practical dilemmas.Based on the theory of innovation ecosystem and rooted in China's AI industry practice,this paper applies the theory of context-driven innovation,discusses the theoretical foundation,architecture and characteristics of context-driven AI innovation ecosystems,and puts forward the logic and pathway of context-driven AI innovation flywheel and ecology cultivation.This provides important theoretical and policy insights for China to cultivate a world-class AI innovation and development ecosystem with Chinese characteristics,accelerate AI innovation,and build a new engine for new-quality productivity,thereby promoting high-quality development and Chinese modernization.
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