INFLUENCE OF FRAUD HEXAGON MODEL IN DETECTING FINANCIAL STATEMENT FRAUD

INFLUENCE OF FRAUD HEXAGON MODEL IN DETECTING FINANCIAL STATEMENT FRAUD

Fraud , Financial Statement Fraud, Fraud Hexagon Model.

Financial statement fraud is an important problem that must be avoided in companies. Three categories of fraud were found in the 235 instances of fraud reported in the ACFE Indonesia survey: financial statement fraud 9.2% (22 cases), asset misuse (20.9% (50 cases), and corruption 69.9% (167 cases). Therefore, steps should be taken to identify potential causes of financial statement fraud. To find these factors, a number of models can be applied. The fraud hexagon model, created by Vousinas in 2019, is one of the latest models to examine how the components of the fraud hexagon model affect the detection of financial statement fraud. This research is quantitative and uses 104 data from 26 consumer non-cyclical companies listed in 2019 and – 2022 on the Indonesia Stock Exchange (IDX). was used. Logistic regression analysis was used to evaluate the hypothesis. The results showed that there was only one variable that affected Financial Statement Fraud, namely the Inventory Trunover variable from the Opportunity factor variables, namely External Pressure from the Stimulus factor, Director Change from the Capability factor, Total Accrual to Total Asset from the Rationalization factor, CEO's Picture from the Ego (arrogance) factor, and government cooperation from the Collusion factor have no effect on Financial Statement Fraud.

Budiyono

https://jurnal.stie-aas.ac.id/index.php/IJEBAR

2024-09-30

PERI IRAWAN

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