计算机模型揭示了企业集群组织结构的最优发展

Mousa Al-kfairy, S. Khaddaj, R. Mellor
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引用次数: 7

摘要

科技园区(STPs)促进了集群内企业之间的创新。网络渠道被认为是知识交流过程的组成部分,因此也是创新过程的组成部分。我们模拟了stp的三种组织拓扑结构;首先,在星型模型中,所有节点都连接到集群主动性(CI),其次是强连接模型,当所有节点都相互连接时,最后是随机连接模型,其中网络不遵循集中拓扑。分析使用邻接矩阵和蒙特卡罗模拟,交易交易(网络)成本与知识收益。结果表明,从成本的角度来看,星形拓扑是最有效的形式,特别是对于启动stp。后来,当知识转化的成本降低时,强连接模型成为最有效的拓扑结构,但如果直接联系不能迅速产生切实的利益,这种向高交易成本的过渡是非常危险的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computer Modelling Reveals the Optimal Development for the Organisational Structure of Business Clusters
Science and technology parks (STPs) foster innovation between firms inhabiting the cluster. Networking channels are considered as integral parts of the knowledge exchange process, and therefore the innovation process. We simulated three organisational topologies for STPs; firstly, in the star model all are connected to the cluster initiative (CI), secondly the strongly connected model, when all are connected to each other, and finally the randomly connected model, where the network follows no centralised topology. Analyses used adjacency matrixes and Monte-Carlo simulation, trading transaction (networking) costs against knowledge benefit. Results show that star topology is the most efficient form from the cost perspective, and this is especially the case for start-up STPs. Later, when the cost of knowledge transformation is lowered, then the strongly connected model becomes the most efficient topology, but this transition to high transaction costs is very risky if direct ties do not quickly result in tangible benefits.
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