Research on the Prediction Method of Inter-Firm Technological Innovation Cooperation Based on Multiple Integration
Ju Chunhua1,2,3, Zhu Hui2, Cao Qianwen4
1. Modern Business Research Center,Zhejiang Gongshang University,Hangzhou 310018,China; 2. School of Management Engineering and E-commerce,Zhejiang Gongshang University,Hangzhou 310018,China; 3. E-commerce and New Consumption Research Institute,Zhejiang Financial College,Hangzhou 310018,China; 4. School of Business AdministrationMBA),Zhejiang Gongshang University,Hangzhou 310018,China
Abstract：The method of predicting reasonable technology innovation cooperation is an effective approach for enterprises to identify suitable partners in technology innovation,thereby enhancing their performance in this area.The present study utilizes enterprise patent data to construct a co-occurrence network of patent owners.It applies the Katz index to calculate the path similarity between enterprises,employs the TF-IDF algorithm to construct an enterprise keyword vector,calculates content similarity between enterprises using cosine similarity,and utilizes centrality indices from social network analysis methods to determine location similarity among enterprises.The enhanced integration of the three entities will unlock the collaborative potential among enterprises.Through the analysis of enterprise patent data in the Graphene field,we predict potential collaborations between enterprises and demonstrate the effectiveness of this method.The AUC index value is 0.7242,surpassing that of a single-index similarity recommendation method,thereby enhancing the accuracy of suitable matches in collaboration recommendations.
琚春华, 诸惠, 曹倩雯. 基于多元融合的企业技术创新合作预测方法研究[J]. 中国科技论坛, 2024(3): 108-119.
Ju Chunhua, Zhu Hui, Cao Qianwen. Research on the Prediction Method of Inter-Firm Technological Innovation Cooperation Based on Multiple Integration. , 2024(3): 108-119.
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