A Dynamic Credit Evaluation Approach Using Sensitivity-Optimized Weights for Supply Chain Finance
Supply chain financing provides important funding channels for micro and small enterprises (MSEs), but effectively evaluating their creditworthiness remains challenging. Past methods overly rely on static financial indicators and subjective judgment in determining credit evaluation weights. This stu...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek
2023-01-01
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| Series: | Tehnički Vjesnik |
| Subjects: | |
| Online Access: | https://hrcak.srce.hr/file/446415 |
| _version_ | 1797206295100522496 |
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| author | Haoyue Zhang Ran Tian Qi Wang Dongxiao Wu |
| author_facet | Haoyue Zhang Ran Tian Qi Wang Dongxiao Wu |
| author_sort | Haoyue Zhang |
| collection | DOAJ |
| description | Supply chain financing provides important funding channels for micro and small enterprises (MSEs), but effectively evaluating their creditworthiness remains challenging. Past methods overly rely on static financial indicators and subjective judgment in determining credit evaluation weights. This study proposes a dynamic credit evaluation approach that uses sensitivity analysis to optimize the weighting scheme. An indicator system is constructed based on the unique characteristics of e-commerce MSEs. The weight optimization integrates subjective, objective, and sensitivity-based methods to reflect specific financing scenarios. A system dynamics model simulates the credit evaluation mechanism and identifies the sensitivity of each influencing factor. The resultant comprehensive weights are applied in a TOPSIS-GRA dynamic evaluation model to assess MSE credit levels over time. An empirical analysis of 20 online stores demonstrates the proposed model's advantages in accurately revealing credit rankings relative to conventional static models. This research provides an effective data-driven weighting technique and dynamic evaluation framework for supply chain finance credit assessment. |
| first_indexed | 2024-04-24T09:04:44Z |
| format | Article |
| id | doaj.art-235730de548747479c2ec04dd0e02014 |
| institution | Directory Open Access Journal |
| issn | 1330-3651 1848-6339 |
| language | English |
| last_indexed | 2024-04-24T09:04:44Z |
| publishDate | 2023-01-01 |
| publisher | Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek |
| record_format | Article |
| series | Tehnički Vjesnik |
| spelling | doaj.art-235730de548747479c2ec04dd0e020142024-04-15T19:01:19ZengFaculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in OsijekTehnički Vjesnik1330-36511848-63392023-01-013061951195810.17559/TV-20230801000841A Dynamic Credit Evaluation Approach Using Sensitivity-Optimized Weights for Supply Chain FinanceHaoyue Zhang0Ran Tian1Qi Wang2Dongxiao Wu3School of Management, Beijing Union University, No. 97, North Fourth Ring East Road, Chaoyang District, Beijing, 100101, ChinaSchool of Management, Beijing Union University, No. 97, North Fourth Ring East Road, Chaoyang District, Beijing, 100101, ChinaSchool of Management, Beijing Union University, No. 97, North Fourth Ring East Road, Chaoyang District, Beijing, 100101, ChinaSchool of Management, Beijing Union University, No. 97, North Fourth Ring East Road, Chaoyang District, Beijing, 100101, ChinaSupply chain financing provides important funding channels for micro and small enterprises (MSEs), but effectively evaluating their creditworthiness remains challenging. Past methods overly rely on static financial indicators and subjective judgment in determining credit evaluation weights. This study proposes a dynamic credit evaluation approach that uses sensitivity analysis to optimize the weighting scheme. An indicator system is constructed based on the unique characteristics of e-commerce MSEs. The weight optimization integrates subjective, objective, and sensitivity-based methods to reflect specific financing scenarios. A system dynamics model simulates the credit evaluation mechanism and identifies the sensitivity of each influencing factor. The resultant comprehensive weights are applied in a TOPSIS-GRA dynamic evaluation model to assess MSE credit levels over time. An empirical analysis of 20 online stores demonstrates the proposed model's advantages in accurately revealing credit rankings relative to conventional static models. This research provides an effective data-driven weighting technique and dynamic evaluation framework for supply chain finance credit assessment.https://hrcak.srce.hr/file/446415e-commerce supply chain financingdynamic credit evaluationmicro and small enterprises (MSEs)weight optimization |
| spellingShingle | Haoyue Zhang Ran Tian Qi Wang Dongxiao Wu A Dynamic Credit Evaluation Approach Using Sensitivity-Optimized Weights for Supply Chain Finance Tehnički Vjesnik e-commerce supply chain financing dynamic credit evaluation micro and small enterprises (MSEs) weight optimization |
| title | A Dynamic Credit Evaluation Approach Using Sensitivity-Optimized Weights for Supply Chain Finance |
| title_full | A Dynamic Credit Evaluation Approach Using Sensitivity-Optimized Weights for Supply Chain Finance |
| title_fullStr | A Dynamic Credit Evaluation Approach Using Sensitivity-Optimized Weights for Supply Chain Finance |
| title_full_unstemmed | A Dynamic Credit Evaluation Approach Using Sensitivity-Optimized Weights for Supply Chain Finance |
| title_short | A Dynamic Credit Evaluation Approach Using Sensitivity-Optimized Weights for Supply Chain Finance |
| title_sort | dynamic credit evaluation approach using sensitivity optimized weights for supply chain finance |
| topic | e-commerce supply chain financing dynamic credit evaluation micro and small enterprises (MSEs) weight optimization |
| url | https://hrcak.srce.hr/file/446415 |
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