How Sino-Foreign Cooperation Networks Affect Innovation Performance of Chinese Enterprises? Evidence From Biomedical Industry

被引:0
|
作者
Li, Hailin [1 ,2 ]
Wang, Zhengwei [1 ,3 ]
Lin, Weibin [4 ,5 ]
机构
[1] Huaqiao Univ, Sch Business Adm, Quanzhou 362021, Peoples R China
[2] Huaqiao Univ, Res Ctr Appl Stat & Big Data, Xiamen 361021, Peoples R China
[3] Northeastern Univ, Sch Comp Sci & Engn, Shenyang 110819, Peoples R China
[4] Huaqiao Univ, Coll Business Adm, Quanzhou 362021, Peoples R China
[5] Quanzhou Normal Univ, TSL Business Sch, Quanzhou 362021, Peoples R China
基金
中国国家自然科学基金;
关键词
Index Terms-Chinese enterprise; enterprise innovation per-formance; machine learning (ML); network structure characteri-stic; Sino-foreign cooperation; social network; KNOWLEDGE NETWORKS; FIRM INNOVATION; COLLABORATION; CENTRALITY; POLICY; GOVERNANCE; CAPACITY; SYSTEM; TRENDS; FIELD;
D O I
10.1109/TEM.2023.3292339
中图分类号
F [经济];
学科分类号
02 ;
摘要
Under the background of openness and cooperation, China proposes a "self-reliance and self-improvement in science and technology" strategy, emphasizes self-reliance on research and development, and puts forward a new development direction for enterprise innovation. This article constructs the collaboration network and knowledge network of biomedical industry's patents and compares the impact of domestic cooperation and Sino-foreign cooperation on the innovation performance of Chinese enterprises. Compared with domestic cooperation, Sino-foreign cooperation better improves patent quality. Enterprise innovation performance is taken as the prediction target; the importance of network structure characteristics is analyzed by machine learning models and interpretable framework. Overall, knowledge network structure characteristics contribute more for prediction. The difference between domestic cooperation and Sino-foreign cooperation is reflected in knowledge technology: Chinese domestic cooperation focuses on collaborative cooperation and knowledge cooperation, and Sino-foreign cooperation is dominated by knowledge cooperation. According to the contribution of different network structure characteristics to prediction, this article provides suggestions for enterprise development and policy innovation.
引用
收藏
页码:8809 / 8825
页数:17
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