Volume 2 (16) Number 4 pp. 45-64
Accounting frauds – review of advanced technologies to detect and prevent frauds
In past decades, accounting fraud has adversely affected economies worldwide.
Therefore, effective measures and methods ought to be employed in order to efficiently
prevent and detect accounting fraud in a rapidly changing and technologybased
business environment. Data mining methods can assist in prevention and detection
of fraudulent transactions as it enables the use of past cases of fraud to build
models that can recognize and spot the risk of fraud and can design new techniques for
preventing fraudulent financial reporting. This article reviews the concept of accounting
fraud, and focuses on some of the available data mining tools and methodologies
, as well as other commuter-based techniques and tools that are available to order to
assist in preventing accounting fraud and detecting if fraudulent acts have been committed.
The article asserts the importance of using the available computer-based and
data mining techniques as a prevention mechanism by detecting financial statement
fraud, concluding that data mining software propose a good supporting procedure
which offers an effective solution to the problem of detecting fraudulent transactions
and accounting frauds.
Keywords: accounting frauds, preventing frauds, advanced technologies, ERP, XBRL
|MLA||Y.Segal, Shay. "Accounting frauds – review of advanced technologies to detect and prevent frauds." Economics and Business Review EBR 16.4 (2016): 45-64. DOI: 10.18559/ebr.2016.4.3|
|APA||Segal, S. (2016). Accounting frauds – review of advanced technologies to detect and prevent frauds. Economics and Business Review EBR 16(4), 45-64 DOI: 10.18559/ebr.2016.4.3|
|ISO 690||Y.SEGAL, Shay. Accounting frauds – review of advanced technologies to detect and prevent frauds. Economics and Business Review EBR, 2016, 16.4: 45-64. DOI: 10.18559/ebr.2016.4.3|