基于此，运用元分析方法，以近年来国内外关于创新网络与企业创新关系的
97 篇实证文献为样本，在更大样本规模基础上，定量合并分析了创新网络与企业
创新关系的相关研究。首先分别合并分析了网络强度、网络密度、网络中心度这
三个特征变量与企业创新的整体效应关系。其次将网络中心度划为商业网络中心
度和技术网络中心度，分别探讨了两种网络中心度对企业创新的影响。再次以文
化因素、行业因素和区位因素作为调节变量，分别探讨了这三调节变量对网络中
心度与企业创新关系的潜在影响。最后还探讨了企业规模和企业年龄这两个研究
中的常规控制变量对企业创新的影响
本文得到了一些新的综合性结论：(1)网络强度、网络密度、网络中心度均
对企业创新存在显著正向影响；表明创新网络是企业创新的一剂催化剂，参与创
新网络合作是驱动企业创新重要因素。(2) 网络类型不同，其中心度对企业创新
的影响存在显著差异，技术网络中心度对企业创新的影响要大于商业网络中心度；
表明网络类型不同，企业参与创新网络合作所形成学习水平、带来的创新资源以
及所获取信息的广度和深度亦具有显著差异，进而会对企业创新产生不同影响
(3) 网络中心度与企业创新的关系会受到文化因素、行业因素和区位因素的影响，
且在东方文化背景下、在传统制造业或服务业中以及在发达地区，网络中心度对
企业创新的影响更显著；表明创新网络对企业创新产生影响程度的大小还受到企
业所处文化背景、企业所属产业类型以及企业所根植区域的影响。(4)企业规模和
企业年龄均对企业创新存在正向影响；说明未来相关研究应重视这两个控制变量
的影响。研究结论为政府部门决策和企业参与创新网络实践提供了理论支持
关键词：创新网络；网络强度；网络密度；网络中心度；企业创新；元分析硕士学位论文
III
Abstract
With the rapid development of knowledge economy and network economy,
innovation based on knowledge has become the core power of enhancing the
competitiveness and maintaining the development of enterprises. The way of
enterprises innovation is also transfor med from closed into open, and is achieved
through cooperative networks more and more. Innovation network thus become an
important environmental feature to enterprises innovation today. Studies on the
resources, behavior and ability of corporate have extended its perspectives from
internal to extranet network. Innovation and innovation network have become two
major themes which enterprises must face. Scholars have launched rich researches
around the impact of innovation network on enterprise innovation, but their findings
are still with some controversy. It puzzles us about their relationship, and also causes
serious problems to enterprises in dealing with their relationship.
Based on this, this paper used Meta-analysis to quantitatively integrate results
from 97 researches about the relationship between innovation network and enterprise
innovation in a larger sample size. Firstly, this paper comprehensively analyzed the
overall effect relationship between network strength, network density, network
centrality and enterprise innovation respectively. Secondly this paper explored the
relationship between business network centrality, technology network centrality and
enterprise innovation respectively from the perspective of types of network. Thirdly,
this paper derived moderators of the relationship between network centrality and
enterprise innovation concerning on cultural, industrial and regional difference, and
discussed the potential moderating role of these three moderators respectively. Finally,
this paper also discussed the impact of firm size and firm age on corporate innovation.
This paper has got some new comprehensive conclusions. At first, it finds a
significant and positive relationship between network strength, network density,
network centrality and enterprise innovation respectively, which confirms innovation
network is conducive to enterprise innovation in a general sense. Second, it finds that
with the difference of network types, the impact of network centrality on enterprise
innovation is significantly different. What’s more, the impact of technology network
centrality is more positive than business network centrality. This suggests that with
the difference of network types, the learning levels formed by participating in network基于元分析的创新网络特征与企业创新关系研究
IV
collaboration, the innovative resources brought by participating in network
collaboration as well as the breadth and depth of information acquired by
participating in network collaboration is significantly different, and thus has different
effects on enterprise innovation. Third, it finds that cultural factors, industrial factors
and regional factors inference the relationship between network centrality and
enterprise innovation with a stronger effect in the context of eastern culture,
traditional industry and developed region. This suggests that the degree of the impact
of innovation network on enterprise innovation is also affected by the context of
culture, industry and region. Finally, it finds that both firm size and firm age have a
positive impact on enterprise innovation, which suggests that we should pay attention
to the impact of these two control variables in future researches. The study provides
theoretical support for government departments in decision-making and enterprises in
participating in innovation networks.
Key words: Innovation network; Network strength; Network density; Network
centrality; Enterprise innovation; Meta-Analysis硕士学位论文
V
目 录
学位论文原创性声明和学位论文版权使用授权书 ... I
摘 要II
Abstract ........III
插图索引 ..... VII
附表索引 ....VIII
第 1 章 绪 论 ...........1
1.1 研究背景与研究意义 1
1.1.1 研究背景 1
1.1.2 研究意义 2
1.2 研究对象与研究内容 3
1.2.1 研究对象 3
1.2.2 研究内容 4
1.3 研究方法与研究思路 5
1.3.1 研究方法 5
1.3.2 研究思路 5
第 2 章 相关理论与文献综述 7
2.1 创新网络理论综述 ....7
2.1.1 创新网络的理论基础 ....7
2.1.2 创新网络内涵 ....9
2.1.3 创新网络构成 ....9
2.1.4 创新网络特征维度 ......11
2.2 企业创新理论综述 ..13
2.2.1 企业创新内涵 ..13
2.2.2 企业创新类型 ..14
2.3 创新网络特征对企业创新影响的研究综述 ...........15
2.3.1 网络强度对企业创新的影响 ...16
2.3.2 网络密度对企业创新的影响 ...16
2.3.3 网络中心度对企业创新的影响 ...........17
2.4 元分析在经济管理领域研究中应用综述 ...18
2.4.1 元分析内涵 ......18
2.4.2 元分析在经济管理领域研究中的应用 ...........19基于元分析的创新网络特征与企业创新关系研究
VI
第 3 章 机理分析与研究假设 ........20
3.1 研究模型的提出 ......20
3.2 创新网络特征对企业创新的直接影响 .......22
3.2.1 网络强度对企业创新的影响 ...22
3.2.2 网络密度对企业创新的影响 ...22
3.2.3 网络中心度对企业创新的影响 ...........23
3.3 调节变量的影响 ......24
3.3.1 文化因素的影响 ..........25
3.3.2 行业因素的影响 ..........25
3.3.3 区位因素的影响 ..........25
3.4 控制变量的影响 ......26
3.4.1 企业规模的影响 ..........26
3.4.2 企业年龄的影响 ..........26
3.5 相关变量界定 ..........27
第 4 章 实证研究....29
4.1 研究设计 .....29
4.1.1 样本选取 ..........29
4.1.2 数据编码 ..........29
4.1.3 统计分析 ..........30
4.2 元分析结果..31
4.2.1 创新网络特征对企业创新的直接影响分析 ....31
4.2.2 调节变量的影响分析 ..35
4.2.3 控制变量的影响分析 ..35
4.3 实证结果与管理建议 ..........38
4.3.1 结果讨论 ..........38
4.3.2 管理建议 ..........40
结 论...........43
参考文献 .......46
致 谢...........53
附录 A 攻读学位期间所发表的学
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