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An ensemble machine learning approach for forecasting credit risk of agricultural SMEs’ investments in agriculture 4.0 through supply chain finance
Credit risk imposes itself as a significant barrier of agriculture 4.0 investments in the supply chain finance (SCF) especially for Small and Medium-sized Enterprises. Therefore, it is important for financial service providers (FSPs) to differentiate between low- and high-quality SMEs to accurately...
Autores principales: | Belhadi, Amine, Kamble, Sachin S., Mani, Venkatesh, Benkhati, Imane, Touriki, Fatima Ezahra |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8576317/ https://www.ncbi.nlm.nih.gov/pubmed/34776573 http://dx.doi.org/10.1007/s10479-021-04366-9 |
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