Abstract：Based on the perspective of multi-dimensional proximities, using the patent cooperation data in the field of global AI from 1995 to 2020, this paper investigates the impact of technological, institutional, geographical and social proximities on the evolution of artificial intelligence cooperative innovation network in stages. The empirical results based on exponential random graph model (ERGM) show that: ①technological proximity and social proximity have played a positive role in the evolution of cooperative innovation network. The intensity of the former showed a downward trend, while the intensity of the latter showed an upward trend. ②The impact of institutional proximity on the evolution of cooperative innovation network began to play a significant positive role in the middle of technological evolution, and the intensity of the effect showed an upward trend. ③Geographical proximity has no significant effect on the evolution of cooperative innovation network. In addition, AI cooperative innovation network also has the characteristics of organizational homogeneity, preferred linkage and transitivity.
陈钰芬，王科平. 多维邻近性视角下人工智能合作创新网络演化研究[J]. 管理学报, 2023, 20(7): 1045-.
CHEN Yufen，WANG Keping. Research on the Evolution of AI Cooperative Innovation Network from the Perspective of Multi-Dimensional Proximities. Chinese Journal of Management, 2023, 20(7): 1045-.
