知识相关性对创新绩效影响的实证研究——企业技术并购视角  被引量:14

A Technology M& A Perspective:Empirical Study of Knowledge Relevance on the Innovation Performance

在线阅读下载全文

作  者:茅迪 施建军[2] 陈效林[3] Mao Di;Shi Jianjun;Chen Xiaolin(School of Business,Nanjing University,Nanjing 210093,China;Business School,University of International Business and Economics,Beijing 100029,China;School of Marketing & Logistic Management,Nanjing University of Finance & Economics,Nanjing 210000,China)

机构地区:[1]南京大学商学院,江苏南京210093 [2]对外经贸大学国际商学院,北京100029 [3]南京财经大学营销与物流学院,江苏南京210000

出  处:《科技进步与对策》2019年第15期129-136,共8页Science & Technology Progress and Policy

基  金:国家社会科学基金重大项目(11&ZD004)

摘  要:随着“创新、协调、绿色、开放、共享”发展理念的提出,中国经济发展进入新阶段,越来越多的企业希望通过技术并购方式获取核心技术和知识能力.基于中国高技术产业上市公司2010-2016年技术并购数据,利用负二项回归模型,探讨并购双方知识相关性与企业创新绩效间关系.研究结果表明,在技术并购情境下:知识相似性与企业创新绩效间存在倒U型关系;知识互补性与企业创新绩效间同样存在倒U型关系;而且二者存在协同作用,知识相似性水平提升能够放大知识互补性对创新绩效的影响作用.As the propose of the development theory of innovation,coordination,green,open and sharing,the development of China enters a new stage.Companies get to know that the importance of innovative capacity to the development of companies,and also learns that it is not enough that fight for themselves in promoting the innovative ability.By analyzing the data of technology M&A of Chinese high-tech industry lists companies from 2010 to 2016,this paper makes an empirical analysis on the relationship between knowledge relationship and innovation performance of M&A firms.Research finds that there is an inverted U-shaped relation between knowledge similarities and innovative performance of technological M&A of companies,and this inverted U-shaped relation also exists between knowledge complementary and innovation performance.Besides,knowledge similarity and complementarity of M&A firms can influence innovation performance together,the improvement of knowledge similarity can enlarge the influence of knowledge complementarity on innovation performance.

关 键 词:技术并购 知识相似性 知识互补性 创新绩效 

分 类 号:F271.4[经济管理—企业管理]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象