知识重叠、知识库特性与创新绩效

以往研究着重探讨重叠/非重叠知识在技术并购中的创新效应，然而在测度知识重叠时仅关注到数量属性而忽略了质量评估。因此，构建一个新的理论框架，利用国家知识产权局2008-2018年专利授权数据，分析217家中国机械制造企业352次国内技术并购案例，探索知识库中重叠、非重叠知识数量和质量属性对并购后创新绩效的影响。结果表明，高质量重叠知识对并购后的企业创新绩效具有正向影响，而高质量非重叠知识则有负向影响。同时，探讨知识数量对并购后创新绩效的影响。研究结果强调了知识重叠对企业获取外部知识的重要性，对企业技术并购实践具有借鉴作用。

Knowledge Overlap,Knowledge Base Characteristics and Innovation Performance

Previous studies have focused on the innovative effects of overlapping/non-overlapping knowledge in technology M&A.However,only quantitative attributes are concerned in measuring knowledge overlap,while quality assessment is neglected.Based on the patent data from the State Intellectual Property Office during 2008 to 2018,this paper constructs a new theoretical framework and analyses 352 cases of technology M&A of 217 machinery manufacturing enterprises,to explore the effect of the quantity and quality attributes of overlapping and non-overlapping knowledge on innovation performance after technology M&A.The results show that high-quality overlapping knowledge has a positive impact on innovation performance after M&A,while high-quality non-overlapping knowledge has a negative impact.In addition,the impact of knowledge quantity on innovation performance after M&A is also discussed.The purpose of this research is to emphasize the importance of knowledge overlap for enterprises to acquire external knowledge,and to make suggestions for enterprises which blindly pursue high-quality knowledge in the technology M&A.