Credit Risk Assessment of Small and Medium-Sized Enterprises under the Financial Model of Online Supply Chain
The rapid development of Internet technology meant that online supply chain finance has become an important source of small- and medium-sized enterprise (SME) finance. From a review of associated studies, this study constructed an online supply chain financial credit risk evaluation index system tha...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Hindawi Limited
2022-01-01
|
| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2022/7733395 |
| _version_ | 1797977078925099008 |
|---|---|
| author | Shengli Chen Dong Wang Zheng Wan |
| author_facet | Shengli Chen Dong Wang Zheng Wan |
| author_sort | Shengli Chen |
| collection | DOAJ |
| description | The rapid development of Internet technology meant that online supply chain finance has become an important source of small- and medium-sized enterprise (SME) finance. From a review of associated studies, this study constructed an online supply chain financial credit risk evaluation index system that had eleven level 2 indicators and 28 level 3 indicators for the four dimensions of financing enterprise qualification, core enterprise qualification, supply chain operations, and the macroenvironment. To assess the viability of this indicator system, data on 368 SMEs in four industries, clothing, home appliances, pharmaceutical, and construction, were selected as research samples. An online supply chain financial credit risk evaluation model for the different industries was then constructed using principal component analysis (PCA) and logistic regression methods. It was concluded that when evaluating online supply chain financial credit risk, it is necessary to focus on the solvency, profitability, and asset structure efficiencies of the financing enterprises. Due to the different production and operating characteristics of industries, significant variations in the degree and direction of the credit risk factors between industries were found; therefore, evaluating credit risks by industry significantly improved the accuracy of the model’s credit risk predictions. For example, home appliance SMEs need to pay greater attention to their inventory turnover and construction industry SMEs should pay greater attention to their sales growth rate, return on common stockholders’ equity, and GDP growth rate. Based on these results, some suggestions for commercial banks, supply chain core enterprises, and SMEs are given to improve supply chain financing. The conclusion of this study enriches the related research on credit risk assessment of SMEs and also provides decision support for improving SMEs to prevent credit risk. |
| first_indexed | 2024-04-11T05:01:13Z |
| format | Article |
| id | doaj.art-acc7186bc0fa4253ad704b118f348f8f |
| institution | Directory Open Access Journal |
| issn | 1607-887X |
| language | English |
| last_indexed | 2024-04-11T05:01:13Z |
| publishDate | 2022-01-01 |
| publisher | Hindawi Limited |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj.art-acc7186bc0fa4253ad704b118f348f8f2022-12-26T01:12:09ZengHindawi LimitedDiscrete Dynamics in Nature and Society1607-887X2022-01-01202210.1155/2022/7733395Credit Risk Assessment of Small and Medium-Sized Enterprises under the Financial Model of Online Supply ChainShengli Chen0Dong Wang1Zheng Wan2School of ManagementSchool of ManagementSchool of ManagementThe rapid development of Internet technology meant that online supply chain finance has become an important source of small- and medium-sized enterprise (SME) finance. From a review of associated studies, this study constructed an online supply chain financial credit risk evaluation index system that had eleven level 2 indicators and 28 level 3 indicators for the four dimensions of financing enterprise qualification, core enterprise qualification, supply chain operations, and the macroenvironment. To assess the viability of this indicator system, data on 368 SMEs in four industries, clothing, home appliances, pharmaceutical, and construction, were selected as research samples. An online supply chain financial credit risk evaluation model for the different industries was then constructed using principal component analysis (PCA) and logistic regression methods. It was concluded that when evaluating online supply chain financial credit risk, it is necessary to focus on the solvency, profitability, and asset structure efficiencies of the financing enterprises. Due to the different production and operating characteristics of industries, significant variations in the degree and direction of the credit risk factors between industries were found; therefore, evaluating credit risks by industry significantly improved the accuracy of the model’s credit risk predictions. For example, home appliance SMEs need to pay greater attention to their inventory turnover and construction industry SMEs should pay greater attention to their sales growth rate, return on common stockholders’ equity, and GDP growth rate. Based on these results, some suggestions for commercial banks, supply chain core enterprises, and SMEs are given to improve supply chain financing. The conclusion of this study enriches the related research on credit risk assessment of SMEs and also provides decision support for improving SMEs to prevent credit risk.http://dx.doi.org/10.1155/2022/7733395 |
| spellingShingle | Shengli Chen Dong Wang Zheng Wan Credit Risk Assessment of Small and Medium-Sized Enterprises under the Financial Model of Online Supply Chain Discrete Dynamics in Nature and Society |
| title | Credit Risk Assessment of Small and Medium-Sized Enterprises under the Financial Model of Online Supply Chain |
| title_full | Credit Risk Assessment of Small and Medium-Sized Enterprises under the Financial Model of Online Supply Chain |
| title_fullStr | Credit Risk Assessment of Small and Medium-Sized Enterprises under the Financial Model of Online Supply Chain |
| title_full_unstemmed | Credit Risk Assessment of Small and Medium-Sized Enterprises under the Financial Model of Online Supply Chain |
| title_short | Credit Risk Assessment of Small and Medium-Sized Enterprises under the Financial Model of Online Supply Chain |
| title_sort | credit risk assessment of small and medium sized enterprises under the financial model of online supply chain |
| url | http://dx.doi.org/10.1155/2022/7733395 |
| work_keys_str_mv | AT shenglichen creditriskassessmentofsmallandmediumsizedenterprisesunderthefinancialmodelofonlinesupplychain AT dongwang creditriskassessmentofsmallandmediumsizedenterprisesunderthefinancialmodelofonlinesupplychain AT zhengwan creditriskassessmentofsmallandmediumsizedenterprisesunderthefinancialmodelofonlinesupplychain |