Dynamic capabilities perspective on innovation ecosystem of China’s universities in the age of artificial intelligence: Policy-based analysis
Dynamic capabilities perspective on innovation ecosystem of China’s universities in the age of artificial intelligence: Policy-based analysis
复制标题
DOI：
10.24294/jipd.v6i2.1661
复制
发表时间：
2022-12
期刊：
影响因子：
--
通讯作者：
Chen Qu;Eunyoung Kim
中科院分区：
文献类型：
--
作者：
Chen Qu;Eunyoung Kim
大学在大学-产业-政府互动中扮演着关键角色，在创新生态系统研究中具有重要意义。大学还应与行业和政府合作，为经济发展做出贡献。在人工智能（AI）时代，各国政府都出台了有关大学AI创新生态系统的相关政策。以往的研究没有集中在提供一个动态的能力的角度来看，这样一个生态系统的基础上的政策分析。本研究以中国为例，提供了一个人工智能驱动的动态能力框架，以指导大学如何在中国人工智能政策分析的基础上进行管理。基于创新生态系统和动态能力这两个主要概念，我们分析了人工智能支持的创新生态系统在大学治理规则中的重要性，揭示了同时具有分析性和规范性、实用性和政策相关性的理论框架。我们对政策工具进行了文本分析，以说明中国大学人工智能创新生态系统的特殊性。这使我们能够解决新兴创新环境的复杂性，并得出有意义的结论。结果显示，人工智能在有利的环境中得到了广泛采用，人才和治理正在推动中国大学这种生态系统的发展。
Universities play a key role in university-industry-government interactions and are important in innovation ecosystem studies. Universities are also expected to engage with industries and governments and contribute to economic development. In the age of artificial intelligence (AI), governments have introduced relevant policies regarding the AI-enabled innovation ecosystem in universities. Previous studies have not focused on the provision of a dynamic capabilities perspective on such an ecosystem based on policy analysis. This research work takes China as a case and provides a framework of AI-enabled dynamic capabilities to guide how universities should manage this based on China’s AI policy analysis. Drawing on two main concepts, which are the innovation ecosystem and dynamic capabilities, we analyzed the importance of the AI-enabled innovation ecosystem in universities with governance regulations, shedding light on the theoretical framework that is simultaneously analytical and normative, practical, and policy-relevant. We conducted a text analysis of policy instruments to illustrate the specificities of the AI innovation ecosystem in China’s universities. This allowed us to address the complexity of emerging environments of innovation and draw meaningful conclusions. The results show the broad adoption of AI in a favorable context, where talents and governance are boosting the advance of such an ecosystem in China’s universities.