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Purpose: The study aims to explore the wider acceptance of blockchain technology and growing faith in this technology among all business domains to mitigate the chances of fraud in various sectors.

Design/Methodology/Approach: The authors focus on studies conducted during 2015–2022 using keywords such as blockchain, fraud detection and financial domain for Systematic Literature Review (SLR). The SLR approach entails two databases, namely, Scopus and IEEE Xplore, to seek relevant articles covering the effectiveness of blockchain technology in controlling financial fraud.

Findings: The findings of the research explored different types of business domains using blockchains in detecting fraud. They examined their effectiveness in other sectors such as insurance, banks, online transactions, real estate, credit card usage, etc.

Practical Implications: The results of this research highlight (1) the real-life applications of blockchain technology to secure the gateway for online transactions; (2) people from diverse backgrounds with different business objectives can strongly rely on blockchains to prevent fraud.

Originality/Value: The SLR conducted in this study assists in the identification of future avenues with practical implications, making researchers aware of the work so far carried out for checking the effectiveness of blockchain; however, it does not ignore the possibility of zero to less effectiveness in some businesses which is yet to be explored.

Over the past decade, there has been a significant increase in interest about fraud in food supply chain. Victims of food fraud and counterfeiting can be different actors in the supply chain: distributors, retailers and, most importantly, customers. Victims of food fraud face not only economic losses, but also health and safety risks when handling or consuming fraudulent products. The aim of this paper is to present the situation regarding counterfeiting and fraud in the food supply chain from a theoretical and practical point of view. The attitudes and opinions of consumers, experts in the field and retailers on the occurrence of food fraud and counterfeiting were explored. The results of an online survey of 326 consumers in Croatia showed that their awareness of food fraud is low. Most of them are only partially familiar with food fraud or do not know anything about this issue. The respondents are most familiar with mislabelling of organic products, meat packaging date fraud, and misuse of geographical indications (PDO/PGI). Consumers have low trust in all organisations that should protect them from food fraud (e.g. Croatian national institutions and authorities). A survey with eight food experts (olive oil, wine, milk and dairy products, honey, strong alcoholic beverages) found that they very rarely encounter food fraud in their work, usually two or more times a year. Retailers are aware of the existence of food fraud, but still do not take measures beyond the usual level in their quality assurance systems. To raise awareness of food fraud, education of all stakeholders by relevant institutions is needed.

In December 2008, as the financial and economic crisis continued on its devastating course, a new scandal erupted. After the 1998s failure of Long-Term Capital Management, Madoff's fraud once again discredits the hedge funds industry. This scandal is, however, of a different kind. Indeed, Madoff's firm is not a standard hedge fund but a developed Ponzi scheme. By explaining Madoff's system and exploring the reasons for its collapse, this paper draws risk management lessons from this fraud, especially for operational risk management, due diligence processes, and the use of quantitative replication, regulatory, and standardizing approaches of the hedge fund industry.

This exercise should make apparent to introductory accounting students the importance of internal controls both as a deterrent and as an early detector of fraud. We use the fraud triangle (PCAOB, 2010) framework to help students understand and evaluate this fraud. We believe completing this exercise will give students a better understanding of fraud in general, the fraud triangle, and internal controls and their use in preventing and detecting fraud.

This exercise presents an actual embezzlement committed by a long-tenured employee of a local not-for-profit organization. Each component of the exercise contains a series of questions to facilitate classroom discussion.

Student surveys confirm that students learn about detecting and preventing fraud. Students also indicate that they find the not-for-profit setting interesting and would use the principles in the exercise if they become affiliated with a not-for-profit organization.

To our knowledge, this is the first fraud exercise directed at educating students in introductory and survey courses in accounting where students likely have only a minimal understanding of accounting and internal controls.

The change of production methods, the industrial revolutions, technological developments, and digital transformation have affected almost all functions in the enterprises. Accounting and auditing areas are also quite affected by this transformation. Another important result of technology and digitalization is the rapid increase in errors, frauds, and irregularities. Enterprises are looking for new solutions and investigations against irregularities and frauds. Audits for errors, frauds, or irregularities are among the interests of forensic accounting. Many methods are used to identify errors and frauds in the forensic accounting. However, it is inevitable that digital technologies should be utilized in forensic accounting applications as a result of the rapid spread of automation and computer programs in enterprises within the framework of digitalized business activities. Hence, enterprises will be able to get more effective results through computer programs and artificial intelligence in terms of fraud audit in forensic accounting. Expert system applications use artificial intelligence to enable computer programs to behave just like people. One of the most widely used, most easily applicable, and most understandable types of expert system is rule-based expert system. The aim of this study is to determine the accounting fraud that may occur in enterprises within the framework of forensic accounting through rule-based expert systems. For this purpose, various applications have been implemented in a large-scale production enterprise through the use of rule-based expert systems for the determination of accounting fraud. Benford’s Law, risk levels, and various other criteria were used in the creation of expert systems. According to the results obtained from the study, it has been seen that by means of rule-based expert system applications, enterprises can better detect existing frauds and prevent further irregularities in the future. The study is important and it is expected that the study will contribute to the literature because it is shown in the study that the rule-based expert systems, applied in many fields under the title of social sciences, can also be applied in the field of forensic accounting and auditing.

Food fraud as intentional deception for economic gain relies on a low-tech food value chain, that applies a ‘paper-and-pencil approach’, unable to provide reliable and trusted data about food products, accompanied processes/activities and actors involved. Such approach has created the information asymmetry that leads to erosion of stakeholders and consumers trust, which in turn discourages cooperation within the food chain by damaging its ability to decrease uncertainty and capability to provide authentic, nutritional, accessible and affordable food for all. Lack of holistic approach, focus on stand-alone measures, lack of proactive measures and undermined role of customers have been major factors behind weaknesses of current anti-fraud measures system. Thus, the process of strong and fast digitalisation enabled by the new emerging technology called Industry 4.0 is a way to provide a shift from food fraud detection to efficient prevention. Therefore, the objective of this chapter is to shed light on current challenges and opportunities associated with Industry 4.0 technology enablers' guardian role in food fraud prevention with the hope to inform future researchers, experts and decision-makers about opportunities opened up by transforming to new cyber-physical-social ecosystem, or better to say ‘self-thinking’ food value chain whose foundations are already under development. The systematic literature network analysis is applied to fulfil the stated objective. Digitalisation and Industry 4.0 can be used to develop a system that is cost effective and ensures data integrity and prevents tampering and single point failure through offering fault tolerance, immutability, trust, transparency and full traceability of the stored transaction records to all agri-food value chain partners. In addition, such approach lays a foundation for adopting new business models, strengthening food chain resilience, sustainability and innovation capacity.