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The application of complex network theory for resilience improvement of knowledge-intensive supply chains

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Bibliographic Details
Main Authors: Jiakuan, Chen, Haoyu, Wen
Format: Book
Language:English
Published: Springer 2023
Subjects:
KISCs
SCR
Online Access:https://link.springer.com/article/10.1007/s12063-023-00365-0
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7876
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spelling oai:localhost:PNK-78762023-04-13T03:21:10Z The application of complex network theory for resilience improvement of knowledge-intensive supply chains Jiakuan, Chen Haoyu, Wen KISCs SCR CC BY With frequent political conflicts and public health emergencies, global supply chains are constantly under risk interference, significantly reducing supply chain resilience (SCR), especially for the knowledge-intensive supply chains (KISCs). To assess and improve the resilience of KISC, this paper uses complex network theory to construct a directed weighted network model suitable for KISC and expresses the SCR as a comprehensive capability that can resist risk and recover from it. Using quantitative indicators plus qualitative assessment to quantify the resilience index and identify the network key nodes. Two resilience improvement paths are proposed for KISCs, improving firms’ development capacity and industrial backup. 2023-04-13T03:21:10Z 2023-04-13T03:21:10Z 2023 Book https://link.springer.com/article/10.1007/s12063-023-00365-0 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7876 en application/pdf Springer
institution Digital Phenikaa
collection Digital Phenikaa
language English
topic KISCs
SCR
spellingShingle KISCs
SCR
Jiakuan, Chen
Haoyu, Wen
The application of complex network theory for resilience improvement of knowledge-intensive supply chains
description CC BY
format Book
author Jiakuan, Chen
Haoyu, Wen
author_facet Jiakuan, Chen
Haoyu, Wen
author_sort Jiakuan, Chen
title The application of complex network theory for resilience improvement of knowledge-intensive supply chains
title_short The application of complex network theory for resilience improvement of knowledge-intensive supply chains
title_full The application of complex network theory for resilience improvement of knowledge-intensive supply chains
title_fullStr The application of complex network theory for resilience improvement of knowledge-intensive supply chains
title_full_unstemmed The application of complex network theory for resilience improvement of knowledge-intensive supply chains
title_sort application of complex network theory for resilience improvement of knowledge-intensive supply chains
publisher Springer
publishDate 2023
url https://link.springer.com/article/10.1007/s12063-023-00365-0
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7876
_version_ 1763090280708308992
score 8.887836

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