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Construction and application of computerized risk assessment model for supply chain finance under technology empowerment

This study seeks to assist small and medium enterprises break free of the constraints of the conventional financing model and lessen the supply chain finance risks they face. First, the supply chain financial business model and credit risk are analyzed, followed by a discussion of the application pr...

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Detalles Bibliográficos
Autores principales: Huang, Bo, Gan, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10159157/
https://www.ncbi.nlm.nih.gov/pubmed/37141230
http://dx.doi.org/10.1371/journal.pone.0285244
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author Huang, Bo
Gan, Wei
author_facet Huang, Bo
Gan, Wei
author_sort Huang, Bo
collection PubMed
description This study seeks to assist small and medium enterprises break free of the constraints of the conventional financing model and lessen the supply chain finance risks they face. First, the supply chain financial business model and credit risk are analyzed, followed by a discussion of the application principle of blockchain in the control of supply chain financial credit risk. The next topic up for discussion is the emancipation of individuals and the application of financial technology toward the management of financial risk in supply chains. In the final stage of the development of the computerized risk assessment model, the Fuzzy Support Vector Machine (FSVM) is optimized, and the effectiveness and efficiency of risk classification are enhanced by introducing a variable penalty factor C. To test the efficacy of the C-FSVM risk assessment model, the Chinese auto sector is used as the study’s object. According to the results of the study, the C-FSVM model has a classification accuracy of 96.35% for the entire sample, 96.45% for credible firms, and 95.34% for default enterprises. The training time of the C-FSVM model is 473.9s, which is far lower than the SVM and FSVM models’ training times of 1631.6s and 1870.2s. In summary, the C-FSVM supply chain financial risk assessment model is effective and has great application value in banking practice.
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spelling pubmed-101591572023-05-05 Construction and application of computerized risk assessment model for supply chain finance under technology empowerment Huang, Bo Gan, Wei PLoS One Research Article This study seeks to assist small and medium enterprises break free of the constraints of the conventional financing model and lessen the supply chain finance risks they face. First, the supply chain financial business model and credit risk are analyzed, followed by a discussion of the application principle of blockchain in the control of supply chain financial credit risk. The next topic up for discussion is the emancipation of individuals and the application of financial technology toward the management of financial risk in supply chains. In the final stage of the development of the computerized risk assessment model, the Fuzzy Support Vector Machine (FSVM) is optimized, and the effectiveness and efficiency of risk classification are enhanced by introducing a variable penalty factor C. To test the efficacy of the C-FSVM risk assessment model, the Chinese auto sector is used as the study’s object. According to the results of the study, the C-FSVM model has a classification accuracy of 96.35% for the entire sample, 96.45% for credible firms, and 95.34% for default enterprises. The training time of the C-FSVM model is 473.9s, which is far lower than the SVM and FSVM models’ training times of 1631.6s and 1870.2s. In summary, the C-FSVM supply chain financial risk assessment model is effective and has great application value in banking practice. Public Library of Science 2023-05-04 /pmc/articles/PMC10159157/ /pubmed/37141230 http://dx.doi.org/10.1371/journal.pone.0285244 Text en © 2023 Huang, Gan https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Huang, Bo
Gan, Wei
Construction and application of computerized risk assessment model for supply chain finance under technology empowerment
title Construction and application of computerized risk assessment model for supply chain finance under technology empowerment
title_full Construction and application of computerized risk assessment model for supply chain finance under technology empowerment
title_fullStr Construction and application of computerized risk assessment model for supply chain finance under technology empowerment
title_full_unstemmed Construction and application of computerized risk assessment model for supply chain finance under technology empowerment
title_short Construction and application of computerized risk assessment model for supply chain finance under technology empowerment
title_sort construction and application of computerized risk assessment model for supply chain finance under technology empowerment
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10159157/
https://www.ncbi.nlm.nih.gov/pubmed/37141230
http://dx.doi.org/10.1371/journal.pone.0285244
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