创新网络资源整合、双创新与创新绩效的关系——以长三角地区智能制造企业为例

Li Li
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摘要

企业开展创新活动的前提是有效整合各种资源,发挥不同资源的作用。根据资源依赖理论,企业自身的创新资源相对单一,依靠自身的资源和能力进行技术创新是比较困难的。当前,创新网络是制造企业获取互补资源的重要来源。近年来,长三角地区智能制造企业在经济效益、发展规模、创新成果和国际竞争力等方面取得了日益显著的成效。但与此同时,发展质量还存在不足,需要不断加强创新领导,提高创新绩效,以创新带动发展。基于创新网络、资源整合、双元创新、环境动态性中介作用等相关理论,本文的研究目的是弥补上述研究差距,研究设计是通过调查长三角地区智能制造企业创新升级的相关数据,并利用AMOS和SPSS软件对假设模型进行实证检验。本文的研究发现和结论及创新点如下:揭示了影响智能制造企业创新实践的情境因素;本文研究了环境动态性变化因素对企业创新活动(探索性创新和剥削性创新)和创新绩效的中介作用。
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The Relationship between Innovation Network Resource Integration, Dual Innovation, and Innovation Performance: A Case Study of Intelligent Manufacturing Enterprises in the Yangtze River Delta Region of China
The prerequisite for enterprises to carry out innovative activities is to effectively integrate various resources and play the role of different resources. According to the theory of resource dependence, an enterprise’s own innovation resources are relatively single, and it is difficult to carry out technological innovation with its own resources and capabilities. Currently, the innovation network is an important source for manufacturing enterprises to obtain complementary resources. In recent years, intelligent manufacturing enterprises in the Yangtze River Delta region have achieved increasingly remarkable results in terms of economic benefits, development scale, innovation achievements, and international competitiveness. But at the same time, there are still shortcomings in the quality of development, and it is necessary to continuously strengthen innovation leadership, improve innovation performance, and drive development with innovation. Based on relevant theories such as innovation network, resource integration, ambidexterity innovation, and the intermediary role of environmental dynamism, this paper objective and is to close the above mentioned gap/s of study and the research design is by surveying relevant data on the innovation and upgrading of intelligent manufacturing enterprises in the Yangtze River Delta region, and uses AMOS and SPSS software to empirically test the hypothetical model. The findings and conclusions and innovations of this paper are as follows: The situational factors that affect the innovation practice of intelligent manufacturing enterprises are revealed. This paper studies the mediating effect of environmental dynamism change factors on corporate innovation activities (exploratory innovation and exploitative innovation) and innovation performance.
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