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Rethinking SME default prediction: a systematic literature review and future perspectives

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  1. Nerantzidis, Michail & Tampakoudis, Ioannis & She, Chaoyuan, 2024. "Social media in accounting research: A review and future research agenda," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 54(C).
  2. Büşra Alma Çallı & Erman Coşkun, 2021. "A Longitudinal Systematic Review of Credit Risk Assessment and Credit Default Predictors," SAGE Open, , vol. 11(4), pages 21582440211, November.
  3. Edward I. Altman & Marco Balzano & Alessandro Giannozzi & Stjepan Srhoj, 2023. "Revisiting SME default predictors: The Omega Score," Journal of Small Business Management, Taylor & Francis Journals, vol. 61(6), pages 2383-2417, November.
  4. Modina, Michele & Pietrovito, Filomena & Gallucci, Carmen & Formisano, Vincenzo, 2023. "Predicting SMEs’ default risk: Evidence from bank-firm relationship data," The Quarterly Review of Economics and Finance, Elsevier, vol. 89(C), pages 254-268.
  5. Zedda, Stefano & Modina, Michele & Gallucci, Carmen, 2024. "Cooperative credit banks and sustainability: Towards a social credit scoring," Research in International Business and Finance, Elsevier, vol. 68(C).
  6. Behl, Abhishek & Jayawardena, Nirma & Nigam, Achint & Pereira, Vijay & Shankar, Amit & Jebarajakirthy, Charles, 2023. "Investigating the revised international marketing strategies during COVID-19 based on resources and capabilities of the firms: A mixed method approach," Journal of Business Research, Elsevier, vol. 158(C).
  7. Di Letizia, Gerardo & De Lucia, Caterina & Pazienza, Pasquale & Cappelletti, Giulio Mario, 2023. "Forest bioeconomy at regional scale: A systematic literature review and future policy perspectives," Forest Policy and Economics, Elsevier, vol. 155(C).
  8. Marco Repetto, 2025. "Multicriteria interpretability driven deep learning," Annals of Operations Research, Springer, vol. 346(2), pages 1621-1635, March.
  9. Goodell, John W. & Kumar, Satish & Lim, Weng Marc & Pattnaik, Debidutta, 2021. "Artificial intelligence and machine learning in finance: Identifying foundations, themes, and research clusters from bibliometric analysis," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
  10. Guido Max Mantovani & Gregory Gadzinski, 2022. "How to Rate the Financial Performance of Private Companies? A Tailored Integrated Rating Methodology Applied to North-Eastern Italian Districts," JRFM, MDPI, vol. 15(11), pages 1-18, October.
  11. Larissa M. Batrancea & Mehmet Ali Balcı & Leontina Chermezan & Ömer Akgüller & Ema Speranta Masca & Lucian Gaban, 2022. "Sources of SMEs Financing and Their Impact on Economic Growth across the European Union: Insights from a Panel Data Study Spanning Sixteen Years," Sustainability, MDPI, vol. 14(22), pages 1-18, November.
  12. Lenka Papíková & Mário Papík, 2022. "Effects of classification, feature selection, and resampling methods on bankruptcy prediction of small and medium‐sized enterprises," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 29(4), pages 254-281, October.
  13. Ali Uyar & Simone Pizzi & Fabio Caputo & Cemil Kuzey & Abdullah S. Karaman, 2022. "Do shareholders reward or punish risky firms due to CSR reporting and assurance?," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(5), pages 1596-1620, July.
  14. Murat Doğan & Muhammed Aslam Chelery Komath & Özlem Sayilir, 2025. "Credit rating prediction with ESG data using data mining methods," Future Business Journal, Springer, vol. 11(1), pages 1-14, December.
  15. Edward I. Altman & Rafał Sieradzki & Michał Thlon, 2023. "Assessing the impact of economic and financial shocks on SME credit quality: a scenario analysis," Bank i Kredyt, Narodowy Bank Polski, vol. 54(2), pages 89-128.
  16. Carmen Gallucci & Rosalia Santullli & Michele Modina & Vincenzo Formisano, 2023. "Financial ratios, corporate governance and bank-firm information: a Bayesian approach to predict SMEs’ default," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 27(3), pages 873-892, September.
  17. Alessandro Bitetto & Paola Cerchiello & Stefano Filomeni & Alessandra Tanda & Barbara Tarantino, 2024. "Can we trust machine learning to predict the credit risk of small businesses?," Review of Quantitative Finance and Accounting, Springer, vol. 63(3), pages 925-954, October.
  18. Gajdosikova Dominika & Valaskova Katarina, 2023. "Bankruptcy Prediction Model Development and its Implications on Financial Performance in Slovakia," Economics and Culture, Sciendo, vol. 20(1), pages 30-42, June.
  19. Andrés Navarro-Galera & Juan Lara-Rubio & Pavel Novoa-Hernández & Carlos A. Cruz Corona, 2025. "Using Decision Trees to Predict Insolvency in Spanish SMEs: Is Early Warning Possible?," Computational Economics, Springer;Society for Computational Economics, vol. 65(1), pages 91-116, January.
  20. Oliver Lukason & Germo Valgenberg, 2021. "Failure Prediction in the Condition of Information Asymmetry: Tax Arrears as a Substitute When Financial Ratios Are Outdated," JRFM, MDPI, vol. 14(10), pages 1-13, October.
  21. Diego Valentinetti & Michele A. Reaa, 2023. "Intelligenza artificiale e accounting: le possibili relazioni," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2023(2), pages 93-116.
  22. Murphy, Brid & Feeney, Orla & Rosati, Pierangelo & Lynn, Theo, 2024. "Exploring accounting and AI using topic modelling," International Journal of Accounting Information Systems, Elsevier, vol. 55(C).
  23. Lisa Crosato & Caterina Liberati & Marco Repetto, 2021. "Look Who's Talking: Interpretable Machine Learning for Assessing Italian SMEs Credit Default," Papers 2108.13914, arXiv.org, revised Sep 2021.
  24. Weiyu Wang & Maria João Guedes, 2025. "Firm failure prediction for small and medium-sized enterprises and new ventures," Review of Managerial Science, Springer, vol. 19(7), pages 1949-1982, July.
  25. Evangelos Liaras & Michail Nerantzidis & Antonios Alexandridis, 2024. "Machine learning in accounting and finance research: a literature review," Review of Quantitative Finance and Accounting, Springer, vol. 63(4), pages 1431-1471, November.
  26. Goodell, John W. & Kumar, Satish & Li, Xiao & Pattnaik, Debidutta & Sharma, Anuj, 2022. "Foundations and research clusters in investor attention: Evidence from bibliometric and topic modelling analysis," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 511-529.
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