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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Main Authors: Xiaohan Huang, Jihong Sun, Xiaoyun Zhao
Format: Article
Language:English
Published: Hindawi-Wiley 2021-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2021/9981019
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spelling 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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