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The configuration and evolution of Korean automotive supply network: an empirical study based on k-core network analysis
This study identified the hierarchical structure of the k-core network and examined how it changed over time by structurally analyzing the Korean automotive supply network. The k-core method is a useful subgroup analysis for identifying key nodes through a pruning process in a large and complex netw...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9885056/ http://dx.doi.org/10.1007/s12063-023-00349-0 |
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author | Kang, Ahrom Oh, Joongsan |
author_facet | Kang, Ahrom Oh, Joongsan |
author_sort | Kang, Ahrom |
collection | PubMed |
description | This study identified the hierarchical structure of the k-core network and examined how it changed over time by structurally analyzing the Korean automotive supply network. The k-core method is a useful subgroup analysis for identifying key nodes through a pruning process in a large and complex network such as the automotive industry. We used the information of 234 automotive parts suppliers listed in the “Automotive Industry Guide”. The supply network is divided into four subgroups, where at the center is the 4-core group with key nodes, surrounded by the next key group of the 3-core group. Around the 3-core group is the 2-core group, and at the periphery of the network is the 1-core group. Unlike in the traditional supply chain structure, all core groups include 1(st), 2(nd), and 3(rd) tier suppliers. In addition, it is confirmed that the k-core structure has a complementary relationship with the tier structure and degree centrality, and considering the three together, the key node could be identified in the network. Finally, an analysis of the evolution of the network revealed that most new suppliers entered the 1-core group, and those in the top k-core group had a higher remaining ratio. The significance of this study is 1) by presenting k-core, a new method to analyze the network structure, 2) confirming the structure and evolution of the actual supply network from a macroscopic perspective, and 3) identifying key suppliers that can directly or indirectly affect the company's performance. |
format | Online Article Text |
id | pubmed-9885056 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-98850562023-01-30 The configuration and evolution of Korean automotive supply network: an empirical study based on k-core network analysis Kang, Ahrom Oh, Joongsan Oper Manag Res Article This study identified the hierarchical structure of the k-core network and examined how it changed over time by structurally analyzing the Korean automotive supply network. The k-core method is a useful subgroup analysis for identifying key nodes through a pruning process in a large and complex network such as the automotive industry. We used the information of 234 automotive parts suppliers listed in the “Automotive Industry Guide”. The supply network is divided into four subgroups, where at the center is the 4-core group with key nodes, surrounded by the next key group of the 3-core group. Around the 3-core group is the 2-core group, and at the periphery of the network is the 1-core group. Unlike in the traditional supply chain structure, all core groups include 1(st), 2(nd), and 3(rd) tier suppliers. In addition, it is confirmed that the k-core structure has a complementary relationship with the tier structure and degree centrality, and considering the three together, the key node could be identified in the network. Finally, an analysis of the evolution of the network revealed that most new suppliers entered the 1-core group, and those in the top k-core group had a higher remaining ratio. The significance of this study is 1) by presenting k-core, a new method to analyze the network structure, 2) confirming the structure and evolution of the actual supply network from a macroscopic perspective, and 3) identifying key suppliers that can directly or indirectly affect the company's performance. Springer US 2023-01-30 /pmc/articles/PMC9885056/ http://dx.doi.org/10.1007/s12063-023-00349-0 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Kang, Ahrom Oh, Joongsan The configuration and evolution of Korean automotive supply network: an empirical study based on k-core network analysis |
title | The configuration and evolution of Korean automotive supply network: an empirical study based on k-core network analysis |
title_full | The configuration and evolution of Korean automotive supply network: an empirical study based on k-core network analysis |
title_fullStr | The configuration and evolution of Korean automotive supply network: an empirical study based on k-core network analysis |
title_full_unstemmed | The configuration and evolution of Korean automotive supply network: an empirical study based on k-core network analysis |
title_short | The configuration and evolution of Korean automotive supply network: an empirical study based on k-core network analysis |
title_sort | configuration and evolution of korean automotive supply network: an empirical study based on k-core network analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9885056/ http://dx.doi.org/10.1007/s12063-023-00349-0 |
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