It has great importance in innovation ecosystem studies that universities play a key role in university-industry-government interactions. Besides the knowledge-based role, universities within an innovation ecosystem are increasingly expected to engage with industries and governments to contribute to economic development. In the age of Artificial Intelligence (AI), while national governments have released relevant policies regarding AI-enabled innovation ecosystems in universities, previous research has not focused on the provision of a dynamic capability perspective on AI implemented in the innovation ecosystem based on policy analysis. This research takes China as a case and provides a framework of the AI-enabled dynamic capability to guild how universities should manage their innovation ecosystem based on China’s AI policy analysis. Drawing on two main concepts of literature- innovation ecosystem and the dynamic capability, we analyzed the importance of AI-enabled innovation ecosystem in universities with the governance regulation, shedding light on the theoretical framework that is simultaneously analytical and normative, theoretical, practical, and policy-relevant. We conducted a text analysis of the characteristics of China’s AI policies to illustrate the specificities of the AI innovation ecosystem in China’s universities, thereby permitting the researchers to address the complexity of emerging environments of innovation to draw meaningful conclusions. The results show the broad adoption of AI in a favourable context, AI talents, and governance are boosting the advance of the AI-enabled innovation ecosystem in China’s universities.
Chen Qu, Japan Advanced Institute of Science and Technology & Dalian Polytechnic University, Japan
Eunyoung Kim, Japan Advanced Institute of Science and Technology, Japan