Abstract

Along with the rapid development of a new round of scientific and technological revolution and industrial transformation, digital manufacturing, artificial intelligence, the Internet and other emerging fields marked by digitalization and intelligence are experiencing widespread penetration, cross-integration and constantly emerged crossover innovation. New technology development is a process of continuous increase of resource heterogeneity characterized by high fuzziness and uncertainty. However, it is difficult to meet the requirements of the development of emerging technologies only by the innovative resources and capabilities of the enterprises themselves. The limitation of innovation resources urges emerging technology enterprises to actively or passively exchange various innovation resources with other innovation subjects across organizational, technological or industry boundaries, and promotes the rapid rise of crossover innovation networks of emerging technologies, which has become an important way for emerging technology enterprises to avoid innovation risks and improve innovation efficiency. To explore the crossover innovation network of emerging technologies and its evolution path, this paper uses social network analysis to build the IPC co-occurrence network, patentee cooperative innovation network and patent citation network by stages by taking the invention patent data of self-driving car technology from 2006 to 2020 as samples, analyzes the subject cooperation, knowledge flow and technology convergence in the process of crossover innovation, explores the evolution process of crossover innovation network of emerging technologies and its characteristics in each stage, and then draws relevant enlightenment.

Keywords
Emerging Technologies; Crossover Innovation Network; Social Network Analysis; Network Structure