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Publication
Advanced analytical methods for fraud detection: a systematic literature review
| Name: | Description: | Size: | Format: | |
|---|---|---|---|---|
| 1.93 MB | Adobe PDF |
Authors
Abstract(s)
The developments of the digital era demand new ways of producing goods and rendering
services. This fast-paced evolution in the companies implies a new approach from the
auditors, who must keep up with the constant transformation. With the dynamic
dimensions of data, it is important to seize the opportunity to add value to the companies.
The need to apply more robust methods to detect fraud is evident.
In this thesis the use of advanced analytical methods for fraud detection will be
investigated, through the analysis of the existent literature on this topic.
Both a systematic review of the literature and a bibliometric approach will be applied to
the most appropriate database to measure the scientific production and current trends.
This study intends to contribute to the academic research that have been conducted, in
order to centralize the existing information on this topic.
Description
Keywords
Big data Systematic literature review Bibliometric Indicators Fraud detection Advanced analytical methods