2016
DOI: 10.18559/ebr.2016.4.3
|View full text |Cite
|
Sign up to set email alerts
|

Accounting frauds – review of advanced technologies to detect and prevent frauds

Abstract: BOOK REVIEWSMariusz E. Sokołowicz, Rozwój terytorialny w świetle dorobku ekonomii instytucjonalnej. Przestrzeń -bliskość - ....................................................................................................................... 118 Accounting frauds -review of advanced technologies to detect and prevent frauds 1 Shay Y. Segal 2 Abstract : In past decades, accounting fraud has adversely affected economies worldwide. Therefore, effective measures and methods ought to be employed in order to e… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
4
0
2

Year Published

2018
2018
2024
2024

Publication Types

Select...
6
3

Relationship

0
9

Authors

Journals

citations
Cited by 13 publications
(6 citation statements)
references
References 15 publications
0
4
0
2
Order By: Relevance
“…73‐85). Therefore, there is an urgent need for effective methods to prevent and detect fraud (Segal, 2016, pp. 45‐64).…”
Section: Introductionmentioning
confidence: 99%
“…73‐85). Therefore, there is an urgent need for effective methods to prevent and detect fraud (Segal, 2016, pp. 45‐64).…”
Section: Introductionmentioning
confidence: 99%
“…Some technologically savvy fraudsters may find a way to divert funds using these payment methods to their personal accounts. Segal (2016) pointed out that the explosion of computer-based resources opened the portal for a new kind of computer-based accounting fraud. A researcher may provide valuable information on how to assist organizations in diminish fraud that may occur in RNPOs.…”
Section: Recommendations For Further Studymentioning
confidence: 99%
“…In an environment where financial fraud is evolving, computers equipped with detection tools with specific knowledge in the field (Zhou and Kapoor, 2011). Computer techniques and data mining software can be used as a mechanism to prevent and detect fraudulent transactions and accounting fraud (Segal, 2016).…”
Section: Detectionmentioning
confidence: 99%