Providing a Model for Evaluating Suspicious Bank Accounts with the Approach of Determining Tax Effects Based on Structural Equation Modeling

The main approach of this study is to provide solutions to managers, economists, and tax auditors. To have a clearer perspective of the transactional relationships that distress the taxpayer transaction tax also help them to choose the best strategy to improve tax revenue. In this paper the fuzzy Delphi method was used to identify the indicators affecting suspicious bank accounts. The data collected from experts familiar with the subject of research. Similarly, to rank the factors, the BMW technique was used, and the modeling method of partial least squares equations (PLS) have been used to determine the relationships between dimensions and indices. The results show the ranking of 26 sub-criteria of the research indicate that the two sub-criterions: performing operations and cash transactions less than the set ceiling and depositing cash in financial institutions and then transferring it quickly by remittance, are the first and second most important sub-criteria from below Cash operations group, respectively. The results of model also show that cash transaction factors have the most significant impact on bank account transaction tax.