Providing a model of court accounting techniques to predict and reduce reporting risk and fraud risk in Iran's public sector

The present study was conducted with the aim of developing a model of court accounting techniques to predict and reduce the risk of reporting and the risk of fraud in the public sector of Iran. The information needed for the research was collected from among the experts of court accountants present in the public sector with management positions. Their opinions were collected through interviews and an interpretive structural modeling questionnaire for the qualitative approach and the use of a researcher-made questionnaire for distribution in the community and the research sample and the use of structural equation modeling for the quantitative approach. In this research, using interpretive structural modeling, a comprehensive model for court accounting techniques was designed to predict and reduce reporting risk and fraud risk in the public sector. Then, based on the obtained model, the relationships of the variables in the model were tested again using structural equation modeling. In the structural equation modeling section, it was shown at the 95% confidence level that court accounting techniques have a positive and significant effect on reporting risk and fraud risk in the public sector.Keywords: accounting model, court accounting, reporting risk, fraud risk