نوع مقاله : مقاله پژوهشی
عنوان مقاله English
نویسندگان English
This study aims to design a comprehensive model for credit risk reporting in financial institutions, focusing on the structural and content-related aspects of financial reports. The proposed model seeks to enhance the quality of financial information and mitigate negative consequences such as bank insolvency. This research is applied in nature and employs a mixed-methods approach (qualitative-quantitative). In the qualitative phase, the statistical population consisted of 12 university professors, financial managers, and auditors. Data were collected through semi-structured interviews and analyzed using MAXQDA software. In the quantitative phase, 200 senior managers, financial managers, and accountants from financial institutions were selected through convenience sampling. Data were gathered via questionnaires and analyzed using PLS structural equation modeling. The findings resulted in a model comprising structural elements (such as comparability, transparency, and timely reporting) and content-related elements (such as asset quality, default rates, and regulatory compliance). The model’s validity was confirmed using the Kappa index (0.901) and the fuzzy Delphi method. Exploratory and confirmatory factor analyses also validated the impact of 27 key factors on credit risk reporting. These findings provide a foundation for developing financial reporting standards and improving transparency and risk management in financial institutions.
کلیدواژهها English