Document Type : Original Article
Authors
1 PhD student, Department of Public AdministrationSari Branch, Islamic Azad University, Sari, Iran
2 Assistant Professor, Department of Public Administration, Mashhad Branch, Islamic Azad University, Mashhad, Iran
Abstract
In today's era, the wheels of Iran's economy revolve around banks, and this clearly shows the key role of banks in providing financial resources for economic enterprises. The current research was conducted with the aim of designing a policy model for the transparency of resource allocation in the banking system of Iran. The inductive research approach is based on data theory. The statistical population was experts and policy makers of the banking system and management professors, who were selected as the sample size using the saturation principle and the snowball sampling method. Semi-structured in-depth interviews were used to collect data. Reliability was confirmed using the agreement coefficient of two coders and the Kappa coefficient, whose value was 0.742. Max Kyoda software was used for data analysis. The results included 173 open codes in 15 components and 6 categories. 3 components and 55 open codes for causal factors, 2 components and 29 open codes for the central category, 4 components and 39 open codes for the strategy category, 2 components and 19 open codes for the consequences category, 2 components and 10 open codes for the context category, and 2 components and 21 open codes for the intervention category. It was Gerha. Based on the results, it is very important to design metrics and indicators related to resource allocation transparency in the banking system of Iran.
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