Asia Pacific Fraud Journal (APFJ - Association of Certified Fraud Examiners, ACFE)
Not a member yet
303 research outputs found
Sort by
Data Analytics in Fraud Prevention and Detection by Government Internal Supervisory Apparatuses at Ministries/Institutions/Local Governments: A Mixed-Method Study
Full text linkThis study investigates differences in internal audit effectiveness and data analytics (DA) usage by the Government’s Internal Supervisory Apparatus (GISA) in fraud prevention and detection (FPD). It examines variations in DA usage based on GISA effectiveness and independence, motivations for DA use, application methods, and the effectiveness of DA tools. Using a mixed-method approach, data was collected via questionnaires and interviews. Independent Samples T-Test results indicate significant differences in internal audit effectiveness and DA usage between high and low DA usage groups across the full sample and within ministries/institutions. Significant differences in DA usage are also found based on GISA effectiveness and independence across the full sample and within ministries/institutions, but not within local governments. Key motivations for DA use include improving FPD efficiency, and DA has shown to enhance anomaly detection and audit scope, with Microsoft Excel and Audit Command Language (ACL) as the most used tools. Findings suggest optimized DA use through expanded access, training, and tailored resource
The Influence of Auditor Individual Factors to the Time it Takes in Detecting Fraud
Full text linkACFE Indonesia 2019 shows that fraud can be found or detected within 12 months. This indicates that there are factors that prevent the fraud from being detected quickly, such as individual auditor factors that play a role in detecting the fraud. The novelty of this research is to focus on individual factors including auditor’s experience, independence, competence and personality type. This research is a quantitative study using surveys, with internal auditors, external auditors and KAP partners as respondents. Results of this study found that factors that greatly influence auditor’s ability to detect fraud are auditor’s experience, independence, competence. Meanwhile, personality has no influence on auditor’s ability to detect fraud. Results of this study can contribute to the association of public accountants in evaluating the criteria for expert auditors who are given permission to conduct investigative audits. It is expected that KAPs (Public Accounting Firms) will offer resources and opportunities to enhance the competence and independence of their auditors
Advancing Digital Forensic through Machine Learning: An Integrated Framework for Fraud Investigation
Full text linkThe rise of cybercrime and cyber-related crime encourages efficient digital forensic investigations more crucial than ever before. Traditional investigation methods can be time-consuming, costly, and resource-intensive, while machine learning algorithms have the potential to reduce the complexity by promoting automation and investigation capabilities. This study begins with an analysis of digital forensics framework using a document analysis methodology. Moreover, exploring current practice and potential implementation of machine learning in digital forensics for fraud investigation is demonstrated through the features of Autopsy 4.15.0, a widely known digital forensics tool. The findings suggest the implementation of a comprehensive digital forensic framework that prioritizes the interpretation phase, with the support of machine learning capabilities. At present, machine learning mainly supports the analysis phase, which happens to be the most time-intensive process of digital forensic investigations. Furthermore, as fraud investigation has a role of fraud detection and prevention, current digital forensics procedures do not support the fraud detection and prevention process, despite the potential for machine learning to support this through pattern recognition.These discoveries are particularly significant in the fight against fraudulent activities, such as tax fraud, data fraud, financial fraud, and asset misappropriation, in the digital age
Analysis of Factors and Fraud Preventive Efforts in Company Financial Reports: A Literature Review Study
Full text linkThe research in this article aims to identify and provide an overview of the factors that cause fraud and explain efforts to prevent fraud in company financial reports. The results of the research show that there are seven factors that cause fraud in company financial reports, namely greed, opportunity, need, exposure, unshareable pressure/incentive, rationalization, and capacity. Apart from that, it turns out that digital technology has a negative impact in creating the potential to cause fraud in company financial reports. The preventive efforts that can be taken to prevent fraud in company financial reports are through improving risk management, internal control, and the use of digital forensic concepts which are expected to provide input for company management to avoid fraud in company financial reports from an early age. Apart from that, for future academics and researchers, it is hoped that this research can become a reference source for developing knowledge related to fraud
The Role of Islamic Work Ethics in Moderating Influence Love of Money and Machiavellian Nature to Fraud Accounting in Management of Village Funds
Full text linkThe number of fraud cases in Indonesia has been increasing annually, and it has started to spread to the countryside. This turns into an irony as the hamlet continues to grow and evolve into a sophisticated community. The goal is to investigate how a love of money and other Machiavellian traits affect the tendency for fraud accounting when using village funds, as well as how the Islamic work ethic influences the interaction between the village apparatus and the community in Wonokerto District. The SEM-PLS technique is being used in this quantitative study. Primary data were employed, and 66 persons made up the sample size through the use of purposive sampling procedures in conjunction with the questionnaire method of data collecting. According to the findings, the inclination of accounting fraud was significantly influenced by both love of money and Machiavellian tendencies, and the Islamic work ethic was found to be ineffective in mitigating this effect
Individual Morality and Internal Control Systems on Indications of Fraud Prevention in Village Financial Management in Indonesia: A Literature Review
Full text linkExamining the role of individual morality in the internal control system’s ability to eliminate fraud in the management of village finances was the primary objective of this research. In order to avoid fraud, this study surveyed prior work on the topics of individual ethics and internal control systems. In this essay, screening, inclusion, and exclusion were used. An analysis of 20 publications revealed that internal control mechanisms and personal morale are critical to preventing fraud. This indicates that there is a significant influence of the internal control system and individual morality in preventing fraud in village financial management
Individual Factor Predictor and Organizational Factor Predictor to Detect Potential Corrupt Behaviour
Full text linkKPK known as an institution that eradicates corruption, they receive reports of indications of corruption and conducts arrest operations (OTT) to be followed. This shows that corruption occurs every day, and this act of corruption will not be able to be eradicated if it only relies on KPK. Efforts are needed from each individual organization in preventing corruption from occurring. This research examines individual factors (flexing, life style and love of money) and organizational factors (internal control, whistle blowing, anti-fraud awareness, law enforcement and leadership style) which are expected to be predictors of someone behaving corruptly. This research using quantitative approach and the data was collected using a questionnaire which Indonesian employees as a respondents. After testing, it was found that flexing, lifestyle, love of money, internal control, whistleblowing and anti-fraud awareness were able to become predictive factors for someone to commit corruption. Thus, based on the results of this research, organizations can focus on designing policies and training / coaching programs to prevent corrupt behavior in employees.Â