NORAIDA BINTI SAIDI UNIVERSITI TEKNOLOGI MARA CAWANGAN KELANTAN
This dashboard integrates two complementary fraud detection frameworks namely the Fraud Hexagon Theory (Vousinas, 2019) and the Dechow F-Score Model (Dechow et al., 2011) to provide auditors, analysts, and forensic professionals with a comprehensive tool for assessing financial statement fraud risk. The Fraud Hexagon expands the classic fraud triangle by incorporating six critical elements: pressure (financial incentives), opportunity (control weaknesses), rationalization (justification mechanisms), capability (perpetrator skills), arrogance (belief in invulnerability), and collusion (coordinated deception). The F-Score employs logistic regression using seven financial variables such as RSST accruals, receivables changes, inventory shifts, soft asset proportion, cash sales decline, ROA deterioration, and securities issuance to quantify fraud probability (0-1 scale). The dashboard enables interactive assessment across three sections: a visual hexagon interface for qualitative risk evaluation, an input panel for financial data collection, and a results display featuring probability gauges, component analysis, and combined risk scoring. Users adjust hexagon elements (0-100%) and input financial metrics to receive real-time fraud calculations based on weighted analysis (40% hexagon, 60% F-Score). This is the first unified dashboard integrating both models with interactive real-time visualization. It balances quantitative rigor with qualitative judgment, addresses blind spots in either model alone, provides transparent explainable scoring, and employs scalable web-based architecture requiring no installation. Target markets for commercialization include Big 4 audit firms, internal audit departments, forensic accounting firms, compliance teams, and credit analysts.