Analyzing the Credit Scoring Elements of Legal Clients in Private Banks Using MICMAC-ISM Approach
Analyzing the Credit Scoring Elements of Legal Clients in Private Banks Using MICMAC-ISM Approach
Subject Areas : Financial Knowledge of Securities Analysis
Samaneh Shariatmadari
1
,
Mehdi Homayonfar
2
,
Keyhan Azadi
3
,
amir daneshvar
4
1 - PhD Candidate, Department of Industrial Management, Rasht Branch, Islamic Azad University, Rasht, Iran
2 - Assistant professor, Department of Industrial management, Rasht Branch, Islamic Azad University, Rasht, Iran
3 - Assistant professor, Department of Accounting, Rasht Branch, Islamic Azad University, Rasht, Iran
4 - Assistant Professor, Department of Information Technology Management, Electronic Branch, Islamic Azad University, Tehran, Iran
Keywords: risk management, credit scoring, MICMAC, Fuzzy Delphi, interpretative structural modeling,
Abstract :
The current research aims to evaluate the credit scoring criteria of legal clients of banks using the combined fuzzy Delphi and interpretive structural modeling approach. This research is applied in terms of purpose and survey in terms of method. The research data were gathered using the snowball sampling method which accordingly, 15 financial experts from the banking industry responded to the questionnaires. This research has been implemented in three steps. In the first step, after reviewing the literature, 29 criteria were selected as the initial criteria for credit scoring of the banks legal clients. In the next step, by asking the experts judgments and using the fuzzy Delphi technique, 12 criteria were selected as the more important criteria. Finally, by applying interpretive structural modeling (ISM) and MICMAC methods, the final criteria were structured and the conceptual model was developed in five levels. Based on the results, in the first level, the average account of customer, in the second level, return on asset rate, in the third level, ratio of fixed assets to equity and credit risk of the last period, in the fourth level, ownership ratio, customer capital, and total debt ratio, and finally, in the fifth level, ratio of deferred amount to current assets, number of facilities received, borrowing capacity, number of requested facilities and type of guarantee are placed. Financial institutions can use the presented model in the credit scoring of their customers and make it the basis of their decision making.
