Using Analytic Network Process (ANP) in Evaluation and Prioritization the Barriers of Credit Rating Insurance Companies in Iran

Abstract

Today the credit rating is one of the most important factors in the area of financial services in the field of competition. Unfortunately, the credit rating insurance companies in Iran are faced with barriers that do not allow these ratings to run correctly. This research aimed to identify and prioritize the barriers of credit rating insurance companies in Iran. So, after identifying the factors considered by experts in the field of insurance, to evaluate the importance and priority of these criteria, analytic network process (ANP) methods are used. In the first step, using previous research and literature review, the most important barriers of credit rating insurance companies in Iran were identified and were clustering by three main factors, namely the behavioral barriers, structural barriers and contextual Barriers, and then were confirmed by experts. Then, using a correlation matrix questionnaire based on the opinion of experts, the relationships among these barriers were determined. Then to evaluate the rank and the precedence of these barriers, the pairwise comparisons based on analytic network process method was used. The results show that behavioral barriers among the three categories of barriers with weighing 0.364316 are more important than other factors. Then contextual Barriers with 0.336935 and Structural barriers with 0.298749 are in the next ranks.