科研管理

科研管理 ›› 2016, Vol. 37 ›› Issue (11): 80-88.

• 论文 • 上一篇    下一篇

网络嵌入性与创新绩效的Meta分析

张悦1,梁巧转1,范培华2   

  1. 1西安交通大学管理学院，陕西 西安710049；
    2上海外国语大学国际工商管理学院，上海201620
  • 收稿日期:2014-10-29 修回日期:2016-03-11 出版日期:2016-11-20 发布日期:2016-11-17
  • 通讯作者: 张悦
  • 基金资助:

    国家自然科学基金项目：基于网络信息主动发现的“文化距离”对跨国公司进入模式影响路径研究（编号：71402097），时间：2015.1-2017.12；上海外国语大学校级青年项目：中国低碳企业何去何从？环境csr对企业绩效的影响（编号：2015114045），时间：2015.12-2017.12。

A Meta-analysis on the Relationship between Network Embeddedness and Innovation Performance

Zhang Yue1, Liang Qiaozhuan1, Fan Peihua2   


  1. 1.School of Management, Xi’an Jiaotong University, Xi’an 710049, Shannxi, China; 
    2.College of International Business, Shanghai International Studies University, Shanghai 201620, China
  • Received:2014-10-29 Revised:2016-03-11 Online:2016-11-20 Published:2016-11-17

摘要： 摘要：学术界对网络嵌入性的研究方兴未艾，实证与理论性的研究层出不穷，但关于网络嵌入性对创新绩效影响的研究结论仍然存在争议。研究采用Meta分析方法，对68篇独立样本实证研究进行了再统计分析。研究结果表明，网络关系嵌入性(联系强度、关系稳定性、关系质量、网络互惠性)以及网络结构嵌入性(网络规模、网络密度、网络异质性、网络中心性)对创新绩效存在显著的正向影响。此外，调节效应分析结果表明高新技术企业的网络关系及结构嵌入性对创新绩效作用更强，而产业分布对各网络嵌入性变量与创新绩效关系的调节程度及方向皆不相同。同时，测量特性也会导致主效应的结果产生差异。

关键词: 网络关系嵌入性, 网络结构嵌入性, 创新绩效, Meta分析

Abstract: Abstract: The studies about network embeddedness are compelling in academic circles. Although empirical and theoretical articles are voluminous, there is still a dispute on the study of the relationship between enterprise network embeddedness and innovation performance. This study used Meta-analysis to integrate results from 68 independent studies. The results show that the four variables on network relationship embeddedness (network strength、relationship stability、network quality and reciprocity) and the four variables on network structure embeddedness (network size, network density, network heterogeneity and network centrality) have significant and positive influences on innovation performance. In addition, the results of moderating analysis indicate that for Hi-tech enterprises, the network relationship and structure embeddedness have stronger positive effects on innovation performance, whereas industry distribution has different moderate effects on the relationships between network embeddedness variables and innovation performance. The characteristics of measurement is also attribute to the differences between studies.

Key words: network relationship embeddedness, network structure embeddedness, innovation performance, meta-analysis