Designing a model of smart financial monitoring in public sector accounting: Using the interpretive structural modeling (ISM)

This study aimed to implement interpretive structural modelling for Smart Financial Monitoring in the accounting and reporting system of the public sector of Iran.  In terms of methodology, this research was qualitative-quantitative research conducted by interviewing the experts in the qualitative section. The statistical population was the qualitative section of university professors in the field of accounting and senior auditors of the Ministry of Finance and the Audit Court. In this study, we interviewed 12 university professors in the field of accounting and senior auditors of the Ministry of Finance and the Court of Calculations of saturation mode. Data analysis showed that content factors had the highest penetration power among variables. These factors include efficient and effective intelligent financial supervision, increased transparency in financial reports information, the possibility of comparing organizations' performance with intelligent financial supervision, the ability to verify functional data and prevent the creation of fabricated data, the ability to exchange information between governments, supervisors, stakeholders and citizens, and improving the quality of accountability. Based on the results of the research in intelligent financial supervision, the index of the utilization of new communication and information technologies, resources and human capital index, environmental factors index, content factors, quantification index, regulations and standards, regulatory mechanisms index, risk management index, business operational system index and structural components index is of great importance, but the index of in-service periods is of moderate importance. This study can be a good start for smart financial monitoring in the accounting and reporting system of the country's public sector.