【作者】 王立岩；

【导师】 宋效中；

【作者基本信息】 燕山大学 ， 管理科学与工程， 2013， 博士

【摘要】 在市场经济飞速发展的今天，企业所面临的竞争愈加激烈，对核心技术以及新信息新知识的需求也会愈加强烈。提高创新能力、加入创新网络无疑是企业获取新信息新知识、掌握核心技术、提升创新绩效的最佳渠道，因而针对创新网络、创新能力及创新绩效的研究正在成为国内外学者研究的热点。本论文的主要目的是以创新网络和创新能力的结构、形成过程及其协同演化研究为基础，着重研究创新网络和创新能力及其共同对创新绩效的影响，揭示创新能力对创新绩效的作用路径和影响，以及创新网络在其中发挥的调节作用。首先，通过对以往文献的回顾和分析，梳理和界定创新网络、核心企业、主体企业、伙伴、网络主体、子网络、创新能力和创新绩效等概念；分析创新网络成因理论、企业核心竞争力理论、企业资源理论、企业创新能力之间的关联互补理论、企业创新绩效影响因素研究模型等相关基础理论和研究成果。其次，在确定创新网络主体并划分子网络后，利用动态博弈分析对企业创新网络形成过程进行研究，得出结论：从利润和市场占有率两个角度分析，合作-合作策略都是最优有效的策略，即企业嵌入到创新网络成为创新网络主体是最为理性和必要的选择。从网络位置优势和主体关系两方面分析创新网络对创新绩效的影响。将企业创新能力看作一个系统，并划分为核心层、支持层和环境层创新能力三个层次，分别研究每个层次创新能力对创新绩效的影响。再次，对创新网络和创新能力协同演化分析之后，采用Giant component模型，利用NetLogo软件对企业创新网络演化过程进行模拟仿真，结果显示：经过伙伴选择、确定、整合等一系列活动，随时间变化加入创新网络主体数的比例图像呈“S”形，在这一系列过程中创新能力与创新网络相互作用不断演化。分别从网络位置优势和主体关系两方面的调节作用入手研究创新能力对创新绩效的影响。最后，提出研究假设，利用SPSS18.0、AMOS19.0软件，采用结构方程模型和层次回归模型对企业创新网络与创新能力对创新绩效的作用展开实证研究。研究结果显示，企业的创新战略决策能力、R&D能力、创新资源获取能力、网络连结能力及创新网络环境适应能力对企业创新绩效影响为正向相关关系；人才支持能力对企业创新绩效的影响不显著；网络位置优势和网络主体关系对R&D能力、网络连结能力、创新网络环境适应能力与创新绩效促进关系具有显著的正向调节作用。分别以企业、科研机构（高校）、政府、中介为视角提出推进核心企业创新绩效提升的建议和对策。更多还原

【Abstract】 In today’s rapid development of market economy, enterprises are facing increasinglyfierce competition. The demand for the core technology, new knowledge and newinformation will also be more intense. It’s no doubt that improving innovation capabilitiesand adding innovation network is the best way to get the new knowledge, newinformation, core technology and enhance the innovation performance. Thus it isbecoming a focus for scholars at home and abroad of research about innovation network,innovation ability and innovation performance. The main purpose of this paper is basedon the structure of innovation networks and innovation ability, the process of theformation and the co-evolution research as the foundation. It studies the innovationnetwork and innovation ability impact on innovation performance and reveals the rolethat innovation ability impact on innovation performance, and innovative network playmediation role.Firstly, through the analysis of the past literature, defining concepts aboutinnovation network, the core enterprise, the main enterprise, partner, main network,subnet, innovation capability and innovation performance and so on. It analysis thecauses of theoretical about innovation networks, theory about core competitiveness ofenterprises, enterprise resource theory, complementary theory of enterprise innovationabilities, business model innovation performance and other relevant factors of the basictheory and research.Secondly, after determining the innovation network subject and marking offsub-networks, it researches the formation of enterprise innovation network using thedynamic game analysis and draws the conclusion. Analysis from the two perspectiveswhich are profits and market share, cooperation-cooperation strategy is the besteffective strategies. Namely the innovation network subject that the enterprise embedsinto is the most rational and necessary choice. From two aspects of network locationadvantage and body relation, it analysis innovation networks impact on innovationperformance. The enterprise seems innovation ability as a system, and is divided into three levels which are core layer, support layer and environmental layer, respectivelystudy the effect that each level impacts on innovation performance.Thirdly, after the analysis from the evolution of innovation network and innovationability, using Giant component model and using NetLogo software for enterpriseinnovation network evolution process simulation. The result is that after a series ofactivities such as partner selection, sure, integration; change over time in the proportionof innovation network main body to the image "S" shape. In the series of process, thisinnovation ability and the innovation network evolve and also interact with each other.Respectively from the mediation role of two aspects that is network location advantageand main body relations, it researches the effect that innovation ability effects oninnovation performance.Finally, it puts forward the research hypotheses. It researches on innovationperformance for innovation network and innovation capability Using SPSS18.0,AMOS19.0software and using structural equation modeling and hierarchical regressionmodel. The results show that the innovation strategy decision-making capacity, R&Dcapabilities, innovation and resource acquisition capability, the network link capacity andinnovation network environment adaptability have positively influence on the enterpriseinnovation performance; personnel support capabilities for enterprise innovationperformance was not significant; innovation network intensity and network relations tothe R&D capability to adapt to the network environment, network link capacity,innovation capability and the innovation performance boost relations has significantpositive adjustment. On the basis of enterprises, research institutions (universities),government, intermediary, it puts forward suggestions and countermeasures aboutpromoting the core enterprise innovation performance.更多还原