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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. 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).
  6. 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).
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. Diego Valentinetti & Michele A. Reaa, 2023. "Intelligenza artificiale e accounting: le possibili relazioni," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2023(2), pages 93-116.
  13. 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.
  14. Papík, Mário & Papíková, Lenka, 2025. "The possibilities of using AutoML in bankruptcy prediction: Case of Slovakia," Technological Forecasting and Social Change, Elsevier, vol. 215(C).
  15. 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.
  16. 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.
  17. 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).
  18. Marco Repetto, 2025. "Multicriteria interpretability driven deep learning," Annals of Operations Research, Springer, vol. 346(2), pages 1621-1635, March.
  19. 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).
  20. 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.
  21. 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.
  22. 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.
  23. 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.
  24. 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.
  25. 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.
  26. 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).
  27. 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.
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