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ZENODO
Article . 2023
License: CC BY
Data sources: ZENODO
Journal of Economics and Business
Article . 2023 . Peer-reviewed
Data sources: Crossref
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Fraudulent Financial Reporting and Fraud Pentagon: Case Study on Indonesia Stock Exchange

Authors: Abdul Hafiz Tanjung; Elvina Fitriani;

Fraudulent Financial Reporting and Fraud Pentagon: Case Study on Indonesia Stock Exchange

Abstract

This study aimed to determine the fraud pentagon elements that significantly predict fraudulent financial reporting (FFR) in public companies listed on the Indonesian Stock Exchange in the consumer sector in 2018-2020. The study population comprised 176 public companies in the consumer cyclical and non-cyclical sectors listed on the Indonesia Stock Exchange determined by purposive sampling. Therefore, this study was conducted on 78 public companies in the consumer cyclical and non-cyclical sectors. Accordingly, the data was collected from a sample of 59 FFR and 19 non-FFR companies classified using the M-Score. The data collected were analyzed using multiple logistic regression. The results showed that three elements of fraud pentagon significantly predict financial fraud reporting on public companies listed on the Indonesia Stock Exchange. The three predicting elements are arrogance by the frequent number of CEOs’ picture proxy, competence by undeclared policies on doubtful debts and accounts receivable, and rationalization by accounting policy proxy changes. Additionally, the changes in accounting policies proxy were the most significant predictor.

Related Organizations
Keywords

Fraud Pentagon, Fraudulent Financial Reporting, Indonesia Stock Exchange

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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