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THE EFFECT OF FRAUD TRIANGLE ON FINANCIAL STATEMENT FRAUD WITH THE BENEISH M-SCORE APPROACH IN MINING COMPANIES LISTED ON THE IDX (2019 – 2023)

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dc.contributor.author Lorenza, Viona
dc.date.accessioned 2026-02-20T09:00:03Z
dc.date.available 2026-02-20T09:00:03Z
dc.date.issued 2025
dc.identifier.uri http://repository.president.ac.id/xmlui/handle/123456789/13697
dc.description.abstract This study aims to examine the effect of fraud triangle elements on financial statement fraud in mining companies listed on the Indonesia Stock Exchange during the 2019–2023 period. The fraud triangle is represented by financial stability, external pressure, and financial target as pressure factors; ineffective monitoring and nature of industry as opportunity factors; and change in auditor and audit opinions as rationalization factors. Financial statement fraud is measured using the Beneish M-Score with a total of 200 samples, and the hypotheses were tested using SPSS software. The findings show that only the financial target variable has a significant positive effect on financial statement fraud, while financial stability, external pressure, ineffective monitoring, nature of industry, auditor change, and audit opinion have no significant effect. These results support the fraud triangle theory, which emphasizes that certain types of pressure can drive fraudulent financial reporting practices. This study is limited to the mining sector and employs a restricted set of proxies; therefore, future research is recommended to expand the scope to other industries, extend the observation period, and incorporate additional variables from the fraud diamond or fraud hexagon frameworks to provide more comprehensive insights. en_US
dc.language.iso en en_US
dc.publisher President University en_US
dc.relation.ispartofseries Accounting;008202200012
dc.subject fraud triangle en_US
dc.subject financial statement fraud en_US
dc.subject beneish m-score en_US
dc.subject mining companies en_US
dc.title THE EFFECT OF FRAUD TRIANGLE ON FINANCIAL STATEMENT FRAUD WITH THE BENEISH M-SCORE APPROACH IN MINING COMPANIES LISTED ON THE IDX (2019 – 2023) en_US
dc.type Thesis en_US


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