Growth path of industrial clusters embedded in global value chain from the perspective of knowledge transfer: A fuzzy game approach

IF 1.5 Q2 COMPUTER SCIENCE, THEORY & METHODS
B. He, W. Meng
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引用次数: 0

Abstract

How local industrial clusters break through the lock-in status of low end of value chains and realize industrial upgrading in the development process of embedded global value chain is the central topic of current industrial development research. To explore how industrial clusters achieve the enhancement of their innovation capability and value chains when they are embedded in the global value chain, from the perspective of knowledge transfer and according to the differences in the knowledge levels of the local industrial clusters, three fuzzy game models of knowledge transfer paths were constructed, and the model of the realization mechanism of knowledge transfer and its stability condition was analyzed, which make clear the path of cluster growth under different embedding modes. Results show that although the mode of embedding and the path of knowledge transfer is different, the local industrial clusters can obtain external knowledge transfer by embedding in the global value chain; the knowledge transformation ability of local industrial clusters is the determining factor that the knowledge transfer can smoothly achieve and become stable. The conclusion also shows that the feasibility of the cross-sectional growth of industrial clusters by actively embed the global value chain and acquiring external knowledge transfer if the industrial clusters want to enhance their technology accumulation, their innovation ability, and their position in the global value chain.
知识转移视角下嵌入全球价值链的产业集群成长路径:模糊博弈方法
地方产业集群如何在嵌入式全球价值链的发展过程中突破价值链低端的锁定状态,实现产业升级,是当前产业发展研究的中心课题。为探讨产业集群在嵌入全球价值链的过程中如何实现创新能力和价值链的提升,从知识转移的角度出发,根据本地产业集群知识水平的差异,构建了知识转移路径的三个模糊博弈模型,并分析了知识转移的实现机制模型及其稳定性条件。明确了不同嵌入模式下簇的生长路径。结果表明:虽然嵌入方式和知识转移路径不同,但本地产业集群通过嵌入全球价值链可以获得外部知识转移;地方产业集群的知识转化能力是知识转移能否顺利实现并趋于稳定的决定因素。结论还表明,产业集群若想提升自身的技术积累、创新能力和在全球价值链中的地位,积极嵌入全球价值链并获取外部知识转移是实现产业集群横断面增长的可行性。
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来源期刊
CiteScore
2.80
自引率
23.10%
发文量
31
期刊介绍: The International Journal of Fuzzy Logic and Intelligent Systems (pISSN 1598-2645, eISSN 2093-744X) is published quarterly by the Korean Institute of Intelligent Systems. The official title of the journal is International Journal of Fuzzy Logic and Intelligent Systems and the abbreviated title is Int. J. Fuzzy Log. Intell. Syst. Some, or all, of the articles in the journal are indexed in SCOPUS, Korea Citation Index (KCI), DOI/CrossrRef, DBLP, and Google Scholar. The journal was launched in 2001 and dedicated to the dissemination of well-defined theoretical and empirical studies results that have a potential impact on the realization of intelligent systems based on fuzzy logic and intelligent systems theory. Specific topics include, but are not limited to: a) computational intelligence techniques including fuzzy logic systems, neural networks and evolutionary computation; b) intelligent control, instrumentation and robotics; c) adaptive signal and multimedia processing; d) intelligent information processing including pattern recognition and information processing; e) machine learning and smart systems including data mining and intelligent service practices; f) fuzzy theory and its applications.
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