Research on Cooperative Innovation of Logistics Industry Based on Patent Co-classification

Purpose/Significance Taking the valid invention patent data authorized by the Patent Database of China National Intellectual Property Administration as a sample, the study aims to explore strategies for cooperative innovation in the logistics industry. Design/Methodology Ucinet6 is used to build a network of association relationships in various technical fields. Based on the analysis of density, centrality, cohesive subgroups, structural holes and intermediary with the social network analysis method, the study is able to explore the association relationship among the 28 technical fields involved in logistics patents, and identify and discover the key technology areas for collaborative innovation development in the logistics industry. Findings/Conclusions The association relationship among various technical fields is relatively close, and the degree of integration is relatively good. There exist five types of intermediary roles in the association network of the entire technical field, among which, agents, consultants and contacts are more prominent. In addition, the cooperative innovation strategy of logistics industry is put forward.