Factors Affecting Financial Statement Fraud Disclosure: Data Mining, Forensic Accounting and Investigation Audit

Previous research or relevant research is very important in producing scientific research or articles. Previous research or relevant research has a role in strengthening theories and phenomena of the relationship or influence between variables. This article reviews factors that can influence the disclosure of fraudulent financial statements, such as forensic audits, investigative audits and data mining. This journal is a study of audit literature. The purpose of writing this scientific article is to build a hypothesis of the influence between variables to be used for further research. The results of this literature review article are: 1) data mining has an influence on the disclosure of fraudulent financial statements; 2) forensic accounting has an influence on the disclosure of fraudulent financial statements; and 3) investigative audits have an influence on the disclosure of fraudulent financial statements.

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Publication Details

Journal
Technovate
Published
2024-10-31
DOI
https://doi.org/10.52432/technovate.1.4.2024.177-184
Primary Topic
Imbalanced Data Classification Techniques
Type
article
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Factors Affecting Financial Statement Fraud Disclosure: Data Mining, Forensic Accounting and Investigation Audit

Cris Kuntadi, Syifa Nurarifah
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Technovate
Imbalanced Data Classification Techniques
article

Factors Affecting Financial Statement Fraud Disclosure: Data Mining, Forensic Accounting and Investigation Audit

Cris Kuntadi, Syifa Nurarifah
article en

Abstract

Previous research or relevant research is very important in producing scientific research or articles. Previous research or relevant research has a role in strengthening theories and phenomena of the relationship or influence between variables. This article reviews factors that can influence the disclosure of fraudulent financial statements, such as forensic audits, investigative audits and data mining. This journal is a study of audit literature. The purpose of writing this scientific article is to build a hypothesis of the influence between variables to be used for further research. The results of this literature review article are: 1) data mining has an influence on the disclosure of fraudulent financial statements; 2) forensic accounting has an influence on the disclosure of fraudulent financial statements; and 3) investigative audits have an influence on the disclosure of fraudulent financial statements.

TechnovateVol. 1(4)
Universitas Bhayangkara Jakarta Raya (ID)
Openalex Percentile: Top 73%
Imbalanced Data Classification Techniques
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Factors Affecting Financial Statement Fraud Disclosure: Data Mining, Forensic Accounting and Investigation Audit — Cris Kuntadi, Syifa Nurarifah · Technovate (2024) | TGRS Research Map | TGRS