知识元素间关系反映着企业利用知识元素的特定方式,是影响其技术创新绩效的重要因素。利用企业专利国际分类号(IPC)构建知识元素共现矩阵,从知识元素间关系角度刻画企业知识基础结构特征,分为知识互补性和知识替代性,并研究其与企业技术创新绩效的关系。以中国汽车产业89家上市公司2000-2013年数据为样本,利用负二项回归模型进行实证分析。结果表明:企业知识互补性与技术创新绩效之间存在显著的倒U型关系,知识替代性与企业技术创新绩效也存在显著的倒U型关系。研究结果对于企业更好理解自身知识基础,提高研发投入--产出效率,增强知识管理能力提供了参考。
The relationship between knowledge elements reflects firm's specific methods of using knowledge, and may significantly influence its innovation in the future. Constructing knowledge co-occurrence matrix by using the IPC allocated to the patents to characterize the structure of firm knowledge base from relational perspective, we are able to delineate knowledge complementarity and knowledge substitutability as different relational properties of knowledge elements and examine the relationship between them and corporate innovative performance. Using patent data of 89 listed companies in the automotive industry from 2000 to 2013, we apply negative binomial regression model to conduct our empirical analysis. The results show that both knowledge complementarity and knowledge substitutability have an inverted U-shaped relationship with firm's innovative performance. The results are of great significance for the companies to better understand their own knowledge base, improve R&D input-output efficiency, and improve their knowledge management capability.