We aim to derive a fraud detection approach applicable to conditions where historical fraud data is absent, inadequate, or outdated for making predictions. To this end, we propose a new approach to fraud detection based on expert opinion, enabling tailored tools for various conditions of...

Fraud poses a significant threat to Nigeria's burgeoning digital economy, impacting sectors like finance, e-commerce, healthcare, and education. Traditional methods struggle to keep pace with evolving fraud schemes. This paper investigates the potential of Artificial Intelligence (AI) and...

Accounting fraud poses significant financial and reputational risks for organizations. Traditional detection methods - such as manual audits and red-flag indicators - struggle to keep pace with the growing volume and complexity of financial data. In contrast, artificial intelligence...

This study examines the relevance of the Fraud Pentagon Theory in detecting fraudulent financial reporting among companies listed on the Bucharest Stock Exchange. While financial reporting is essential for informed stakeholder decisions, requiring information to be accurate, reliable, and fairly...

Cyber-enabled fraud has transformed, becoming more complex and making it harder for targets and law enforcement to detect its occurrence. This study aims to recontextualize a major manifestation of this transformation, a crime called hybrid investment fraud, colloquially known as pig butchering....

This study examines the influence of fraud disclosure (FR_DISC) in annual reports on the financial stability of Takaful insurance (TKI) in Saudi Arabia over the period of 2014 to 2022. Moreover, the current study aims to explore the mediating impact of Shariah board size in shaping this...

The pandemic has altered accounting education with the widespread adoption of remote evaluation platforms. We apply the lens of the fraud triangle to consider how the adoption of remote evaluation influences accounting students’ ethical values by measuring the incidence of cheating behavior as...

This study comprehensively evaluates 268 articles on forensic accounting using a meta-literature approach. By integrating quantitative and qualitative analysis, the research identifies prominent authors, publications, and themes. The analysis reveals four key areas of focus: the fraud triangle...

This article examines the dynamics of relation fraud resulting in the murder of a grandparent by her grandson. While such instances are admittedly rare as forms of both murder and fraud more generally, this unique case nonetheless demonstrates that relation fraud resulting in murder is a...

Across the world each year millions of people are victimised by online crime, many of whom fall victim to online fraud. One of the most enduring and prolific types of online fraud is romance fraud. Romance fraud often leads to financial and psychological devastation of those who are victimised....

Despite authorities and governments' efforts in fraud prevention and investigation, new types of fraud emerge daily. In fact, the rise in global business scandals has heightened the need for forensic accounting, as financial fraud is the world's most severe economic threat. Forensic accounting...

Recently, South Africa has suffered from several large financial statement frauds. To assist stakeholders in identifying fraud, this study investigated the ability of the Beneish M-score and the Dechow et al. F-score to identify fraud in South Africa. The study also explored similarities in...

This article explores the critical roles of forensic accounting and auditing in modern business, focusing on uncovering financial irregularities and promoting transparency. Through a meticulous literature review and analysis, the study emphasizes the significance of these practices. The purpose...

The purpose of the article is to assess the maturity of systems for counteracting financial and cyber fraud with the view of their future integration at global-level. The calculations made by the authors were based on indicators for 76 countries, which characterized each country's level of...

In this study, we examine major cryptocurrencies, present notable fraud cases, describe fraud risks, and analyze cryptocurrency financial performance. People debate whether cryptocurrency is an investment opportunity, the new Dutch Tulip Bubble, or a giant Ponzi scheme. There have been a number...

Fraud Detection is of great importance to financial institutions. In this paper we have tried to study the Outlier Analysis in Stock Market Fraud Detection. Outlier Analysis is a fundamental issue in Data Mining, specifically in Fraud Detection. While observing the Indian Stock Market, we could...

The financial statement (FS) fraud detection framework proposed in this paper, PeerMeta, makes improvements in all three aspects of learning processes: the selection of research samples, feature set, and detection model. For the research samples, prior studies are based on FS fraud events that...

This case study examines the scandal at Wirecard AG, a German payment processing and financial services company, which filed for insolvency in June 2020. The scandal involved accounting fraud and misreporting of revenue, and was first uncovered by Financial Times journalists in 2019. The case...

Blockchain technology is a distributed ledger system that allows multiple parties to record and verify transactions in a secure and transparent manner. However, blockchain networks are vulnerable to anomalies and frauds that can have serious consequences for the integrity and security of these...

Data analytics has the potential to help auditors effectively respond to audit risk and improve detection of misstatements and fraud. However, harnessing these benefits may require auditors to adopt an innovation mindset. Firms and regulators have urged auditors to adopt an innovation mindset,...

In the modern era like today where technological developments are becoming more rapid, many people have used technology in their daily activities. Etymologically, technology comes from the word technologia (Greek), "techno", which means expertise and "logia", which means knowledge. While in...

Considerable effort has been devoted to the development of software to support the detection of fraud in published financial statements of companies. Until the present date, however, the applied use of such research has been extremely limited due to the ``black box'' character of the existing...

In this Teaching Note, the authors conclude their series in the study of the common law causes of action that were available to a plaintiff in cases of misrepresentation and fraud. In Part I of this article, Civil Fraud, the authors describe the prima facie elements of proof, as well as the...

In this paper, we study the impact of environmental, social and governance (ESG) ratings on the likelihood of subsequent corporate scandals. We find that the ‘S’ score (social responsibility) has a predictive power on scandals, while the overall ESG ratings has not. This finding holds for...

This paper explores accounting fraud motivation, protection procedures, and the impact on firms‘ performance from the perspective of external auditors. Data were collected through semi-structured interviews with highly experienced external public auditors. This paper highlights personal and...

This study examines the influence of the fraud hexagon on the likelihood of financial statement fraud in Indonesian public companies with stock values below IDR 100 that were listed on the Indonesia Stock Exchange (IDX) from 2018 to 2020. The study population comprises sixty companies with stock...

This paper explores the emerging trends in forensic accounting related to fraud investigation and prevention. First, the study conducts a comprehensive literature review to identify key emerging trends: data analytics, cyber forensic accounting, and the impact of cryptocurrencies and blockchain...

The purpose of this study is to investigate the integration of forensic accounting and big data technology frameworks in relation to the mitigation of internal fraud risk in the banking industry. This study employed an explanatory research design involving the use of simulated data to mirror the...

The class imbalance problem in finance fraud datasets often leads to biased prediction towards the nonfraud class, resulting in poor performance in the fraud class. This study explores the effects of utilizing the Synthetic Minority Oversampling TEchnique (SMOTE), a Generative Adversarial...