The rapid digitalization of financial services in the European Union (EU) has not only enhanced convenience and inclusion but also increased exposure to sophisticated online financial fraud. Digital financial literacy (DFL) is widely promoted as a key tool for empowering consumers and reducing...

We examine how absolute and relative gains within reward schemes influence dishonesty. In our online experiment, we vary two payoff dimensions in a cheating mind game: the payoff level and the absolute payoff difference between being successful or not. A higher payoff level has a negative impact...

This paper investigates whether economic hardship undermines preferences for honesty. We use controlled, high-stake measures of cheating for private benefit in a large sample of 5,664 Kenyans, exploiting three complementary sources of variation: experimentally manipulated monetary incentives to...

Inspired by the limited research regarding the influence of CEO succession origin on corporate misconduct, this study draws on organizational identification theory and agency theory to examine this issue. Empirical analysis indicates that insider CEOs significantly constrain corporate misconduct...

Money laundering is one of the most relevant global challenges, with significant repercussions on the economy and international security. Identifying suspicious transactions is a key element in the fight against the phenomenon, but the task is extremely complex due to the constant evolution of...

The growing compensation disparity between CEOs and employees has become a global concern, underscoring the need for regulatory measures to ensure fair and equitable remuneration practices. Drawing insights from China's government regulation of CEO compensation (GRCC) for state-owned enterprises...

This study examines how audit-related governance mechanisms influence corporate fraud risk, utilising data from 1025 non-financial EU firms between 2018 and 2023. The dependent variable, fraud risk, is proxied by the Beneish M-Score. The independent variables examined comprise six key audit...

Insurance fraud detection is a significant problem in the insurance industry, producing immeasurable losses. Conventional insurance fraud detection models depend heavily on experts' knowledge, and accurately estimating fraud when the data and the claim data are enormous is a complex and...

Existing studies on romance fraud have been criticized for neglecting the social contexts where these crimes occur. This study takes a psychosocial approach to understanding victims/survivors' experiences with romance fraud to demonstrate how recognizing the interplay between social norms and...

This conceptual paper investigates the role of art experts and appraisers in white-collar crime through the lens of convenience theory. As gatekeepers of authenticity, provenance, and valuation, art appraisers hold significant power in shaping market outcomes. Yet, the opacity of appraisal...

This study investigates cryptocurrency-related scams using data from two state scam trackers, focusing on scam types, financial losses, and scammers' methods of contact. Initial findings reveal that cryptocurrency scams share similarities with other online financial scams but maintain unique...

Fraud in accounting and finance poses a persistent threat to organizational integrity and economic stability, necessitating robust theoretical frameworks for effective detection and prevention. While traditional accounting literature predominantly addresses fraud through objective and...

This article aims to contribute to the limited pool of solutions designed to deter or mitigate hedge fund manager fraud and reduce the associated costs to investors and other hedge fund industry stakeholders. The methodology involves presenting three hedge fund indsutry fraud cases, focusing on...

Although previous research on the predictors of cyber fraud victimization has provided evidence of the impact of routine activity and low self-control on the risk of cyber fraud victimization, little knowledge is available in Japan. In addition, to the best of our knowledge, no study has yet...

Discourses on Authorised Push Payment fraud ("APPF"), through which a victim is deceived into authorising fund transfers to a fraudster, often converged on normative questions of victim negligence and liability. Recent regulatory changes in the UK, which introduced a new mandatory reimbursement...

This study examines the growing concern of corporate delinquency in securities markets through an interdisciplinary approach, incorporating insights from sociological jurisprudence, criminology, and economic principles. Deploying a qualitative methodology, the research involves a comparative...

The exponential growth of e-commerce and advancements in financial technology have escalated credit card fraud into a major threat, resulting in billions of dollars in global losses annually. This necessitates the development of sophisticated fraud detection systems capable of real-time anomaly...

Reducing the risk of fraud in credit card transactions is crucial for the competitiveness of companies, especially in Latin American countries. This study aims to establish measures for preventing and detecting fraud in the use of credit cards in shops through analytical methods (data mining,...

This study investigates the dark side of the non-fungible token (NFT) marketplace, with a focus on understanding the risks, and underlying factors driving fraud in the NFT ecosystem. Using the fraud triangle framework, this study examines pressure, opportunity, and rationalization from...

Conveying private information to interested parties is central to almost every economic and social activity. In such interactions, the sender may lie by misreporting the truth, but may also deceive by inducing inaccurate beliefs about the payoff-relevant state. While a huge experimental...

This study explores supervised ML-DL based approaches for enhancing credit card fraud detection and improving financial risk management systems for EU banks. This research proposes an ensemble method based on majority voting (Hard Voting Classifier) of deep learning models to detect fraud...

Medicare fraud poses a substantial challenge to healthcare systems, resulting in significant financial losses and undermining the quality of care provided to legitimate beneficiaries. This study investigates the use of machine learning (ML) to enhance Medicare fraud detection, addressing key...

Purpose The occurrence of economic crimes is a serious challenge to business leaders, government officials and private individuals in South Africa. The objective of this research was to determine the main reasons for committing economic crimes in South Africa. Design/Methodology/Approach Primary...

Fraud research has long been dominated by micro-level theories-most notably the fraud triangle-that focus on individual motivation while neglecting the wider systems that shape and sustain fraudulent behaviour. This paper introduces a conceptual framework that bridges that gap by integrating...

The 2024 report builds on the significant achievements and lessons learned in previous years, reflecting the EIB Group's unwavering dedication to combating fraud and corruption. The report gives an overview of the Investigations Division's work to prevent, detect, investigate and remedy...

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...