The effect of big data and forensic audit as mediating variable on fraud detection - an empirical research of vietnam corporations

Abstract

Fraud is still a problematic issue today. Many cases of fraud in Vietnam caused losses, affecting the National Economy. It has driven stakeholders, including the government, to determine effective and efficient methods to detect fraudulent issues. Therefore, this study aimed to examine the effect of Big Data, and forensic audit as mediating variables on fraud detection. This research is quantitative research using the snowball sampling technique with a survey method by distributing questionnaires through a google form. Respondents comprised 300 internal, external, and government auditors. The sample size of this research is 247. Furthermore, the data were analyzed using structural equation modeling (SEM) with the help of SmartPLS 3.0. The results showed that the forensic audit and Big Data positively and significantly affect fraud detection. Also, Big Data variables positively and significantly affect forensic audit. In addition, a forensic audit mediates Big Data against fraud detection.