Fraud is linked to economic and financial pressures that force people to commit it. Any fraud, regardless of the gender … and age of the fraud perpetrators, inevitably leaves a short-term or long-term negative mark on society’s economy. Many … of fraud imply the harmonious and efficient operation of several factors. One of them understands people’s attitudes …

of fraud and money laundering (ML) in financial statements of the listed firm on the Tehran Stock Exchange. The procedure … regression using panel data. The Benish model is used measure the level of fraud in financial statements, and for ML, the … corporate governance structures on financial statement fraud and ML, it can provide helpful information for investors and …

The purpose of this dissertation was to study why corporate fraud detection models are often met with skepticism by … the academic literature for corporate fraud detection and included the latest studies that introduced ideas from Benford …’s Law and machine learning algorithms. The study of corporate fraud detection models is important because academic …

: Fighting Fraud and Corruption in European Structural and Investments Funds -- Chapter 4: Innovative Methods for Predicting … Fraud and Corruption -- Chapter 5: Conclusion. … goal of reducing corruption and fraud in the management of European Regional Development Funds and Cohesion Funds through …