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...

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Detalles Bibliográficos
Autores principales: Belhadi, Amine, Kamble, Sachin S., Mani, Venkatesh, Benkhati, Imane, Touriki, Fatima Ezahra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Original Research
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

Internet

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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