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Forecasting SMEs' credit risk in supply chain finance with an enhanced hybrid ensemble machine learning approach

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Cited by:

  1. Biswajit Debnath & Amit K. Chattopadhyay & T. Krishna Kumar, 2024. "An Economic Optimization Model of an E-Waste Supply Chain Network: Machine Learned Kinetic Modelling for Sustainable Production," Sustainability, MDPI, vol. 16(15), pages 1-25, July.
  2. Liu, An & Wang, Xinyu & Tang, Jiafu, 2024. "Optimizing multi-channel procurement planning under disruption risks," International Journal of Production Economics, Elsevier, vol. 275(C).
  3. Uddin, Gazi Salah & Tang, Ou & Sahamkhadam, Maziar & Taghizadeh-Hesary, Farhad & Yahya, Muhammad & Cerin, Pontus & Rehme, Jakob, 2021. "Analysis of Forecasting Models in an Electricity Market under Volatility," ADBI Working Papers 1212, Asian Development Bank Institute.
  4. Alessio Ronchini & Michela Guida & Antonella Moretto & Federico Caniato, 2024. "The role of artificial intelligence in the supply chain finance innovation process," Operations Management Research, Springer, vol. 17(4), pages 1213-1243, December.
  5. Kong, Lingxuan & Zheng, Ge & Brintrup, Alexandra, 2024. "A federated machine learning approach for order-level risk prediction in Supply Chain Financing," International Journal of Production Economics, Elsevier, vol. 268(C).
  6. Yuehua Xia & Honggen Long & Zhi Li & Jiasen Wang, 2022. "Farmers’ Credit Risk Assessment Based on Sustainable Supply Chain Finance for Green Agriculture," Sustainability, MDPI, vol. 14(19), pages 1-20, October.
  7. Suriyan Jomthanachai & Wai Peng Wong & Khai Wah Khaw, 2024. "An Application of Machine Learning to Logistics Performance Prediction: An Economics Attribute-Based of Collective Instance," Computational Economics, Springer;Society for Computational Economics, vol. 63(2), pages 741-792, February.
  8. Yanhui Shen, 2023. "American Option Pricing using Self-Attention GRU and Shapley Value Interpretation," Papers 2310.12500, arXiv.org.
  9. Yuegang Song & Ruibing Wu, 2022. "The Impact of Financial Enterprises’ Excessive Financialization Risk Assessment for Risk Control based on Data Mining and Machine Learning," Computational Economics, Springer;Society for Computational Economics, vol. 60(4), pages 1245-1267, December.
  10. Xie, Xiaofeng & Chen, Xiangfeng & Xu, Xun & Gu, Jing, 2024. "Financing a dual capital-constrained supply chain: Profit enhancement and diffusion effect of default risk," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 181(C).
  11. Fosso Wamba, Samuel & Queiroz, Maciel M. & Trinchera, Laura, 2024. "The role of artificial intelligence-enabled dynamic capability on environmental performance: The mediation effect of a data-driven culture in France and the USA," International Journal of Production Economics, Elsevier, vol. 268(C).
  12. Wu, Yang & Wang, Ziyang & Yao, Jianming & Guo, Haixiang, 2023. "Joint decision of order allocation and lending in the multi-supplier scenario purchase order financing," International Journal of Production Economics, Elsevier, vol. 255(C).
  13. Van Nguyen, Truong & Zhang, Jie & Zhou, Li & Meng, Meng & He, Yong, 2020. "A data-driven optimization of large-scale dry port location using the hybrid approach of data mining and complex network theory," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 134(C).
  14. Samuel-Soma M. Ajibade & Muhammed Basheer Jasser & David Olayemi Alebiosu & Ismail Ahmed Al- Qasem Al-Hadi & Ghassan Saleh Al-Dharhani & Farrukh Hassan & Bright Akwasi Gyamfi, 2024. "Uncovering the Dynamics in the Application of Machine learning in Computational Finance: A Bibliometric and Social Network Analysis," International Journal of Economics and Financial Issues, Econjournals, vol. 14(4), pages 299-315, July.
  15. Yu, Baojun & Li, Changming & Mirza, Nawazish & Umar, Muhammad, 2022. "Forecasting credit ratings of decarbonized firms: Comparative assessment of machine learning models," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
  16. Afaq Khattak & Hamad Almujibah & Ahmed Elamary & Caroline Mongina Matara, 2022. "Interpretable Dynamic Ensemble Selection Approach for the Prediction of Road Traffic Injury Severity: A Case Study of Pakistan’s National Highway N-5," Sustainability, MDPI, vol. 14(19), pages 1-18, September.
  17. Guo, Feng & Bo, Qingwen & Tong, Xun & Zhang, Xiaofei, 2020. "A paradoxical view of speed and quality on operational outcome: An empirical investigation of innovation in high-tech small and medium-sized enterprises," International Journal of Production Economics, Elsevier, vol. 229(C).
  18. Yu Zhao & Huaming Du & Qing Li & Fuzhen Zhuang & Ji Liu & Gang Kou, 2022. "A Comprehensive Survey on Enterprise Financial Risk Analysis from Big Data Perspective," Papers 2211.14997, arXiv.org, revised May 2023.
  19. Meiyan Li & Yingjun Fu, 2022. "Prediction of Supply Chain Financial Credit Risk Based on PCA-GA-SVM Model," Sustainability, MDPI, vol. 14(24), pages 1-21, December.
  20. Van Nguyen, Truong & Zhou, Li & Chong, Alain Yee Loong & Li, Boying & Pu, Xiaodie, 2020. "Predicting customer demand for remanufactured products: A data-mining approach," European Journal of Operational Research, Elsevier, vol. 281(3), pages 543-558.
  21. Nikita Moiseev & Aleksander Sorokin & Natalya Zvezdina & Alexey Mikhaylov & Lyubov Khomyakova & Mir Sayed Shah Danish, 2021. "Credit Risk Theoretical Model on the Base of DCC-GARCH in Time-Varying Parameters Framework," Mathematics, MDPI, vol. 9(19), pages 1-12, September.
  22. Dong, Ciwei & Chen, Chenyi & Shi, Xiutian & Ng, Chi To, 2021. "Operations strategy for supply chain finance with asset-backed securitization: Centralization and blockchain adoption," International Journal of Production Economics, Elsevier, vol. 241(C).
  23. Yiyu Xia, 2022. "A Study on Evolution Game of Accounts Receivable Pledge Financing in Supply Chain Finance Model," International Business Research, Canadian Center of Science and Education, vol. 15(12), pages 1-39, December.
  24. Ratri Parida & Manoj Kumar Dash & Anil Kumar & Edmundas Kazimieras Zavadskas & Sunil Luthra & Eyob Mulat‐weldemeskel, 2022. "Evolution of supply chain finance: A comprehensive review and proposed research directions with network clustering analysis," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(5), pages 1343-1369, October.
  25. Ajitha Kumari Vijayappan Nair Biju & Ann Susan Thomas & J Thasneem, 2024. "Examining the research taxonomy of artificial intelligence, deep learning & machine learning in the financial sphere—a bibliometric analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(1), pages 849-878, February.
  26. Yue Zhao & Yan Chen, 2022. "Assessing and Predicting Green Credit Risk in the Paper Industry," IJERPH, MDPI, vol. 19(22), pages 1-16, November.
  27. Yan, Nina & Jin, Xuyu & Zhong, Hechen & Xu, Xun, 2020. "Loss-averse retailers’ financial offerings to capital-constrained suppliers: loan vs. investment," International Journal of Production Economics, Elsevier, vol. 227(C).
  28. Liu, Weihua & Long, Shangsong & Wei, Shuang, 2022. "Correlation mechanism between smart technology and smart supply chain innovation performance: A multi-case study from China's companies with Physical Internet," International Journal of Production Economics, Elsevier, vol. 245(C).
  29. Yingli Wu & Xin Li & Qingquan Liu & Guangji Tong, 2022. "The Analysis of Credit Risks in Agricultural Supply Chain Finance Assessment Model Based on Genetic Algorithm and Backpropagation Neural Network," Computational Economics, Springer;Society for Computational Economics, vol. 60(4), pages 1269-1292, December.
  30. Eissa Jabbarzadeh & Ebrahim Teimoury & Saeed Shavvalpour, 2023. "Application of viable system model in diagnosing defects and problems of the credit supply chain network in the Iranian banking industry," Systems Research and Behavioral Science, Wiley Blackwell, vol. 40(1), pages 101-145, January.
  31. Dai, Haiwen & Qualls, William J. & Zhu, You, 2024. "Win, lose, or draw? Forecasting the outcome of a race toward a dominant formal standard with machine learning," Technological Forecasting and Social Change, Elsevier, vol. 205(C).
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