Credit Risk Assessment of Supply Chain Financing with a Grey Correlation Model: An Empirical Study on China’s Home Appliance Industry
Supply chain finance (SCF) plays an increasingly important role in global enterprise competition. The credit risk accompanying SCF has attracted the attention of the government, enterprises, and academia. However, with the absence of data and inaccurate information, traditional risk assessment metho...
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2021-01-01
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Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2021/9981019 |
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doaj-37ca8aa2e2624131a7d2b56590daacdd2021-06-28T01:51:27ZengHindawi-WileyComplexity1099-05262021-01-01202110.1155/2021/9981019Credit Risk Assessment of Supply Chain Financing with a Grey Correlation Model: An Empirical Study on China’s Home Appliance IndustryXiaohan Huang0Jihong Sun1Xiaoyun Zhao2School of BusinessCenter of High EducationCollege of EconomicsSupply chain finance (SCF) plays an increasingly important role in global enterprise competition. The credit risk accompanying SCF has attracted the attention of the government, enterprises, and academia. However, with the absence of data and inaccurate information, traditional risk assessment methods are frequently failed to assess the credit risk in SCF, especially for small- and medium-sized enterprises (SMEs). In this study, a grey correlation model is introduced and applied to the SCF risk assessment process for 15 firms in the Chinese home appliance industry with 15 performance indicators that represent profitability, solvency, operational capability, and development capability. The empirical study displays the operability and effectiveness of the grey correlation model, which is superior to traditional methods in the supply chain financial risk assessment.http://dx.doi.org/10.1155/2021/9981019 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Xiaohan Huang Jihong Sun Xiaoyun Zhao |
spellingShingle |
Xiaohan Huang Jihong Sun Xiaoyun Zhao Credit Risk Assessment of Supply Chain Financing with a Grey Correlation Model: An Empirical Study on China’s Home Appliance Industry Complexity |
author_facet |
Xiaohan Huang Jihong Sun Xiaoyun Zhao |
author_sort |
Xiaohan Huang |
title |
Credit Risk Assessment of Supply Chain Financing with a Grey Correlation Model: An Empirical Study on China’s Home Appliance Industry |
title_short |
Credit Risk Assessment of Supply Chain Financing with a Grey Correlation Model: An Empirical Study on China’s Home Appliance Industry |
title_full |
Credit Risk Assessment of Supply Chain Financing with a Grey Correlation Model: An Empirical Study on China’s Home Appliance Industry |
title_fullStr |
Credit Risk Assessment of Supply Chain Financing with a Grey Correlation Model: An Empirical Study on China’s Home Appliance Industry |
title_full_unstemmed |
Credit Risk Assessment of Supply Chain Financing with a Grey Correlation Model: An Empirical Study on China’s Home Appliance Industry |
title_sort |
credit risk assessment of supply chain financing with a grey correlation model: an empirical study on china’s home appliance industry |
publisher |
Hindawi-Wiley |
series |
Complexity |
issn |
1099-0526 |
publishDate |
2021-01-01 |
description |
Supply chain finance (SCF) plays an increasingly important role in global enterprise competition. The credit risk accompanying SCF has attracted the attention of the government, enterprises, and academia. However, with the absence of data and inaccurate information, traditional risk assessment methods are frequently failed to assess the credit risk in SCF, especially for small- and medium-sized enterprises (SMEs). In this study, a grey correlation model is introduced and applied to the SCF risk assessment process for 15 firms in the Chinese home appliance industry with 15 performance indicators that represent profitability, solvency, operational capability, and development capability. The empirical study displays the operability and effectiveness of the grey correlation model, which is superior to traditional methods in the supply chain financial risk assessment. |
url |
http://dx.doi.org/10.1155/2021/9981019 |
work_keys_str_mv |
AT xiaohanhuang creditriskassessmentofsupplychainfinancingwithagreycorrelationmodelanempiricalstudyonchinashomeapplianceindustry AT jihongsun creditriskassessmentofsupplychainfinancingwithagreycorrelationmodelanempiricalstudyonchinashomeapplianceindustry AT xiaoyunzhao creditriskassessmentofsupplychainfinancingwithagreycorrelationmodelanempiricalstudyonchinashomeapplianceindustry |
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1721357164313837568 |