Evolution of the Korean Automotive Industry Supply Network: An Exploratory Study Based on SAOM (Stochastic Actor-Oriented Model)*

Ahrom Kang, Joongsan Oh, Chulsoon Park
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Abstract

Most studies on the supply network structure have focused on revealing the “stationary’ network structure based on cross-sectional data. However, when the supply network is defined as a complex adaptive system that is a dynamic process, it is particularly important to explore its structure and evolution. Therefore, this study empirically analyzed how and through which micro-mechanisms the traditional vertical structure of the Korean automotive industry supply network is evolving into a horizontal structure. The results confirmed that new firms were continuously entering the Korean automotive industry supply network, and transaction relationships that were not found in the traditional supply chain structure were increasing. Additionally, among the existing suppliers, high-performing suppliers continued to form new transaction relationships while maintaining existing relationships. The significance of this study is as follows. SAOM was applied to the supply network of the Korean automotive industry for the first time, and the existing vertical and linear relationship studies were expanded from a network perspective. Furthermore, unlike the existing supply network-related studies, which were limited to an analysis at a specific point in time, the dynamic evolution of the supply network was identified.
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韩国汽车工业供应网络的演化:基于随机因素导向模型的探索性研究*
大多数关于供给网络结构的研究都是基于截面数据揭示“平稳”的供给网络结构。然而,当供应网络被定义为一个动态过程的复杂自适应系统时,探索其结构和演变就显得尤为重要。因此,本研究实证分析了韩国汽车产业供应网络的传统垂直结构如何以及通过哪些微观机制演变为水平结构。结果证实,新的企业不断进入韩国汽车产业供应网络,传统供应链结构中没有发现的交易关系正在增加。此外,在现有供应商中,高绩效供应商在维持现有关系的同时继续形成新的交易关系。本研究的意义在于:SAOM首次应用于韩国汽车工业的供应网络,从网络的角度扩展了现有的垂直和线性关系研究。此外,与现有的供应网络相关研究不同,这些研究仅限于对特定时间点的分析,该研究确定了供应网络的动态演变。
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