Validation of the Model of Financial Reporting Transparency and Accountability in Municipalities from the Perspective of Experts

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Keywords:

credit allocation, corporate bank customers, integrated approach, credit risk, profitability assessment

Abstract

The present study was conducted with the aim of designing a credit allocation model for corporate bank customers using an integrated approach to credit risk and profitability assessment, with Bank Tejarat as the case study. In terms of purpose-based classification, this study is applied research; in terms of the nature and method of data collection and analysis, it adopts a mixed approach combining quantitative analysis and mathematical modeling. The statistical population consisted of 823 corporate customers of Bank Tejarat categorized into 35 “single-beneficiary” groups. These companies were examined and analyzed over the period from 2019 to 2024. Data envelopment analysis (DEA) was used to measure customer efficiency, neural network modeling and logistic regression were applied to predict credit risk, and multi-criteria decision-making techniques were employed to integrate these two dimensions. The overall findings indicated that the proposed integrated model has a high capacity for ranking customers and can be used as an effective tool in the bank’s credit decision-making process.

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Salarzehi, H. ., Piri, H., Sotudeh, R. ., & Haghparast, A. . (2026). Validation of the Model of Financial Reporting Transparency and Accountability in Municipalities from the Perspective of Experts. Business, Marketing, and Finance Open, 1-20. https://bmfopen.com/index.php/bmfopen/article/view/510

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