CAJ | 학술논문

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.
지식원소간관계반영착기업이용지식원소적특정방식,시영향기기술창신적효적중요인소.이용기업전리국제분류호(IPC)구건지식원소공현구진,종지식원소간관계각도각화기업지식기출결구특정,분위지식호보성화지식체대성,병연구기여기업기술창신적효적관계.이중국기차산업89가상시공사2000—2013년수거위양본,이용부이항회귀모형진행실증분석.결과표명:기업지식호보성여기술창신적효지간존재현저적도U형관계,지식체대성여기업기술창신적효야존재현저적도U형관계.연구결과대우기업경호리해자신지식기출,제고연발투입—산출효솔,증강지식관리능력제공료삼고.
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 pa-tent data of 89 listed companies in the automotive industry from 2000 to 2013, we apply negative binomial regres-sion model to conduct our empirical analysis. The results show that both knowledge complementarity and know-ledge 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 ef-ficiency, and improve their knowledge management capability.