#3167. A multicriteria credit scoring model for SMEs using hybrid BWM and TOPSIS

September 2026publication date
Proposal available till 11-05-2025
4 total number of authors per manuscript0 $

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Journal’s subject area:
Finance;
Management of Technology and Innovation;
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Abstract:
For small- and medium-sized enterprises (SMEs) access to formal finance remains a barrier. Financial institutions encounter challenges in the assessment of SMEs’ creditworthiness for the provision of financing. The majority of existing models are data-driven and have faced criticism for failing to meet their assumptions. The model was constructed using a hybrid best–worst method (BWM) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). A real-life case study was examined to demonstrate the effectiveness of the proposed model, and a sensitivity analysis varying the weight of the criteria was performed to assess robustness against unpredictable financial situations. The findings indicated that SMEs’ credit history, cash liquidity, and repayment period are the most crucial factors in lending. The proposed credit scoring model outperformed the existing commercial model in terms of its accuracy in predicting defaults.
Keywords:
BWM; Credit scoring model; Financial institutions; MCDM; SME; TOPSIS

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