Forensic Accounting and Risk Management: Exploring the Impact of Generalized Audit Software and Whistleblowing Systems on Fraud Detection in Indonesia

Purpose—This paper investigates the role of forensic accounting skills in enhancing auditor self-efficacy towards fraud detection in Indonesia. It also examines the moderating effect of the implementation of Generalized Audit Software (GAS) and the whistleblowing system on the relationship between accounting and auditing skills and auditor self-efficacy, as well as their combined role in enhancing fraud detection. Methodology—A cross-sectional survey was conducted with 537 external auditors in Indonesia. Data were analyzed using multiple linear regression with moderation models, employing WarpPLS 8.0 software. Findings—The results indicate that practical communication skills, psychosocial skills, and accounting and auditing skills significantly enhance auditor self-efficacy. However, technical and analytical skills do not show a significant effect on auditor self-efficacy. Furthermore, auditor self-efficacy is found to have a direct and significant impact on fraud detection. This study also reveals that implementing GAS moderates the relationship between auditor self-efficacy and fraud detection, whereas the whistleblowing system does not demonstrate a significant moderating effect. Novelty—This study contributes to the literature by highlighting the role of forensic accounting skills and the implementation of GAS in enhancing auditor self-efficacy and fraud detection in the Indonesian auditing context.

Authors

Institutions

Publication Details

Journal
Journal of risk and financial management
Published
2024-12-19
DOI
https://doi.org/10.3390/jrfm17120573
Citations
2
Primary Topic
Imbalanced Data Classification Techniques
Type
article
Field-Weighted Citation Impact
0.69

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Forensic Accounting and Risk Management: Exploring the Impact of Generalized Audit Software and Whistleblowing Systems on Fraud Detection in Indonesia

Cheng‐Jen Huang, Imang Dapit Pamungkas, Mukhlas Adi Putra, Tarmizi Achmad
2 citations
Journal of risk and financial management
Imbalanced Data Classification Techniques
0.69
article

Forensic Accounting and Risk Management: Exploring the Impact of Generalized Audit Software and Whistleblowing Systems on Fraud Detection in Indonesia

Cheng‐Jen Huang, Imang Dapit Pamungkas, Mukhlas Adi Putra, Tarmizi Achmad
article en
2 citations

Abstract

Purpose—This paper investigates the role of forensic accounting skills in enhancing auditor self-efficacy towards fraud detection in Indonesia. It also examines the moderating effect of the implementation of Generalized Audit Software (GAS) and the whistleblowing system on the relationship between accounting and auditing skills and auditor self-efficacy, as well as their combined role in enhancing fraud detection. Methodology—A cross-sectional survey was conducted with 537 external auditors in Indonesia. Data were analyzed using multiple linear regression with moderation models, employing WarpPLS 8.0 software. Findings—The results indicate that practical communication skills, psychosocial skills, and accounting and auditing skills significantly enhance auditor self-efficacy. However, technical and analytical skills do not show a significant effect on auditor self-efficacy. Furthermore, auditor self-efficacy is found to have a direct and significant impact on fraud detection. This study also reveals that implementing GAS moderates the relationship between auditor self-efficacy and fraud detection, whereas the whistleblowing system does not demonstrate a significant moderating effect. Novelty—This study contributes to the literature by highlighting the role of forensic accounting skills and the implementation of GAS in enhancing auditor self-efficacy and fraud detection in the Indonesian auditing context.

Journal of risk and financial managementVol. 17(12)
Diponegoro University (ID), Universitas Dian Nuswantoro (ID), National Yunlin University of Science and Technology (TW)
Universitas Diponegoro
Peace, Justice and strong institutions
Openalex Percentile: Top 22%
Imbalanced Data Classification Techniques
0.69
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.