Journal of Quality Engineering and Management

Designing a causal model to improve the quality of supervision of banks and credit institutions based on the type of mission

Document Type : Original Article

Authors

Mehdi Rameshg 1
Mohammad Javad Mohagheghneya 1
Moslem Peymani 1
Vahid Khashei Varnamkhasti 2

1 Department of Financial Management, Banking Major, Faculty of Management and Accounting, Allameh Tabatabaei University, Tehran, Iran.

2 Department of Business Administration, Business Policy Direction, Faculty of Management and Accounting, Allameh Tabatabaei University, Tehran, Iran.

https://doi.org/10.48313/jqem.2025.532443.1561
Abstract
Purpose: The existing supervisory system in many countries, especially in Iran, mainly uses general and integrated models in which the structural, mission, and operational differences between banks and financial institutions have not been properly taken into account. This uniform approach has led to reduced risk identification accuracy, a lack of adaptation to each financial institution's specific needs, and reduced effectiveness of supervisory measures. The main objective of the present study is to design a cause-and-effect model to improve the quality of supervision based on the mission type of banks and financial institutions, using a mixed approach (Meta-Synthesis-Fuzzy DEMATEL).
Methodology: The present research was conducted using a mixed method (Qualitative-quantitative) and exploratory approach. Then, using a survey, 25 banking industry experts with at least 10 years of executive experience in finance and banking and master's and doctoral degrees were recruited to examine the validity and reliability of the proposed model. Also, paired-comparison questionnaires were distributed to the experts, and the intensity of impact and effectiveness between the research dimensions were examined using the fuzzy multi-criteria decision-making technique, DEMATEL.
Findings: The research findings show that using the meta-synthesis approach, 9 dimensions and 40 components were selected. They were selected from the dimensions. Also, the results of fuzzy DEMATL analysis show that the most influential dimension of the present study regarding the supervision of banks and credit institutions based on the value of (D+R) is the legal and regulatory supervision dimension among the independent dimensions and the cause with the highest value and the most influential variable. Also, among the dependent and affected dimensions based on the lowest value (D-R), the environmental and social performance dimension was recognized as the most influential variable in improving the quality of supervision of banks and credit institutions.
Originality/Value: Using a meta-combination approach in the analysis of previous research, which can provide new horizons for designing effective models based on improving the quality of banking system supervision. Therefore, the present study is of high scientific and practical importance for advancing methodology, responding to the current needs of the country's financial system, and improving the effectiveness of supervision of monetary institutions. This research has also led to recognition of the intensity of the relationships among the dimensions of quality improvement in banking industry supervision and has drawn more attention to these components.

Keywords

Improving supervision
Fuzzy DEMATEL technique
Meta-synthesis method
Banking industry
Banks' mission
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Journal of Quality Engineering and Management
Volume 15, Issue 2
Summer 2025
Pages 110-136

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