Profiling Fraud, Fraudster, and Victim

Globally, companies often face occupational fraud, which is considered the most damaging type of fraud for businesses, accounting for five percent of their annual income losses each year. Profiling is one effective technique for preventing and detecting occupational fraud. This process involves creating profiles of both fraud victims and perpetrators. This qualitative research, employing a descriptive study method, aims to analyze trends in victim profiles, types of fraud, and fraudster profiles over the past decade, using data from the Association of Certified Fraud Examiners (ACFE) for the years 2012–2022. The findings indicate that financial statement fraud results in the highest financial losses, despite being the least common type of fraud. Conversely, asset misappropriation is the most frequent type of fraud but results in the lowest financial losses. The most common profile of fraud perpetrators includes the following characteristics: male, aged between 31 and 45, employed in a non-managerial position, holding a bachelor's degree, having worked for one to five years, with no criminal history, and living beyond their means. Additionally, smaller firms are more susceptible to fraud, and organizations in the banking and financial sectors are particularly vulnerable to occupational fraud.

Authors

Institutions

Publication Details

Journal
Journal of Economics Business and Accountancy Ventura
Published
2024-11-29
DOI
https://doi.org/10.14414/jebav.v27i2.4502
Citations
2
Primary Topic
Cybercrime and Law Enforcement Studies
Type
article
Field-Weighted Citation Impact
1.56
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Profiling Fraud, Fraudster, and Victim

Septarina Prita Dania Sofianti, Andriana Andriana, Intan Fauzia Az-zahra
2 citations
Journal of Economics Business and Accountancy Ventura
Cybercrime and Law Enforcement Studies
1.56
article

Profiling Fraud, Fraudster, and Victim

Septarina Prita Dania Sofianti, Andriana Andriana, Intan Fauzia Az-zahra
article en
2 citations

Abstract

Globally, companies often face occupational fraud, which is considered the most damaging type of fraud for businesses, accounting for five percent of their annual income losses each year. Profiling is one effective technique for preventing and detecting occupational fraud. This process involves creating profiles of both fraud victims and perpetrators. This qualitative research, employing a descriptive study method, aims to analyze trends in victim profiles, types of fraud, and fraudster profiles over the past decade, using data from the Association of Certified Fraud Examiners (ACFE) for the years 2012–2022. The findings indicate that financial statement fraud results in the highest financial losses, despite being the least common type of fraud. Conversely, asset misappropriation is the most frequent type of fraud but results in the lowest financial losses. The most common profile of fraud perpetrators includes the following characteristics: male, aged between 31 and 45, employed in a non-managerial position, holding a bachelor's degree, having worked for one to five years, with no criminal history, and living beyond their means. Additionally, smaller firms are more susceptible to fraud, and organizations in the banking and financial sectors are particularly vulnerable to occupational fraud.

Journal of Economics Business and Accountancy VenturaVol. 27(2)
Universitas Jember (ID)
Peace, Justice and strong institutions
Openalex Percentile: Top 12%
Cybercrime and Law Enforcement Studies
1.56
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.