Analyzing the Fraud Diamond Model for Anticipating Financial Statement Manipulation: A Study on Registered Non-Financial Firms in the IDX (2018—2021)

This research investigates fraudulent financial reporting in non-financial companies listed on the IDX from 2018 to 2021.Statistical Product and Service Solution software version 17 is used in this study to conduct multiple linear regression analysis and moderated regression on data from 360 organizations.Research This demonstrates that financial targets, financial stability, and rationalization all have a beneficial effect on fraudulent financial reporting, however industry type and director change have no meaningful effect.The audit committee modifies the impact of external pressure and rationalization on fraudulent financial reporting, but has no affect on financial targets, stability, poor supervision, auditor turnover, industry type, or director change.T tests regularly reveal that certain variables, such as industry structure, director turnover, and audit committee oversight, have no significant effect on false financial reporting.These findings call into question conventional assumptions and provide useful insights into detecting and preventing financial fraud.This study specifically questions the agency hypothesis, which says that independent audit committees do not always decrease fraud in financial reporting.This new contribution invites a reassessment of audit committees' role and efficacy in combatting financial fraud, adding depth to previous research in this area.

Publication Details

Published
2025-05-01
DOI
https://doi.org/10.47750/qas/26.206.04
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
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Analyzing the Fraud Diamond Model for Anticipating Financial Statement Manipulation: A Study on Registered Non-Financial Firms in the IDX (2018—2021)

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Impact of AI and Big Data on Business and Society
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Analyzing the Fraud Diamond Model for Anticipating Financial Statement Manipulation: A Study on Registered Non-Financial Firms in the IDX (2018—2021)

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Abstract

This research investigates fraudulent financial reporting in non-financial companies listed on the IDX from 2018 to 2021.Statistical Product and Service Solution software version 17 is used in this study to conduct multiple linear regression analysis and moderated regression on data from 360 organizations.Research This demonstrates that financial targets, financial stability, and rationalization all have a beneficial effect on fraudulent financial reporting, however industry type and director change have no meaningful effect.The audit committee modifies the impact of external pressure and rationalization on fraudulent financial reporting, but has no affect on financial targets, stability, poor supervision, auditor turnover, industry type, or director change.T tests regularly reveal that certain variables, such as industry structure, director turnover, and audit committee oversight, have no significant effect on false financial reporting.These findings call into question conventional assumptions and provide useful insights into detecting and preventing financial fraud.This study specifically questions the agency hypothesis, which says that independent audit committees do not always decrease fraud in financial reporting.This new contribution invites a reassessment of audit committees' role and efficacy in combatting financial fraud, adding depth to previous research in this area.

Vol. 26(206)
Peace, Justice and strong institutions
Openalex Percentile: Top 82%
Impact of AI and Big Data on Business and Society
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Analyzing the Fraud Diamond Model for Anticipating Financial Statement Manipulation: A Study on Registered Non-Financial Firms in the IDX (2018—2021) · (2025) | TGRS Research Map | TGRS