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This study aims to, firstly, develop a red flag checklist for cryptocurrency Ponzi schemes and, secondly, to test this red flag checklist against publicly available marketing material for Mirror Trading International (MTI). The red flag checklist test seeks to establish if MTI’s marketing material posted on YouTube^® (in the form of a live video presentation) exhibits any of the red flags from the checklist.

The study uses a structured literature review and qualitative analysis of red flags for Ponzi and cryptocurrency Ponzi schemes.

A research lacuna was discovered with regard to cryptocurrency Ponzi scheme red flags. By means of a structured literature review, journal papers were identified that listed and discussed Ponzi scheme red flags. The red flags from the identified journal papers were subsequently used in a qualitative analysis. The analyses and syntheses resulted in the development of a red flag checklist for cryptocurrency Ponzi schemes, with five red flag categories, containing 18 associated red flags. The red flag checklist was then tested against MTI’s marketing material (a transcription of a live YouTube presentation). The test resulted in MTI’s marketing material exhibiting 88% of the red flags contained within the checklist.

The inherent limitations in the design of using a structured literature review and the lack of research regarding the cryptocurrency Ponzi scheme red flags.

The study provides a red flag checklist for cryptocurrency Ponzi schemes. The red flag checklist can be applied to a cryptocurrency investment scheme’s marketing material to establish if it exhibits any of these red flags.

The red flag checklist can be applied to a cryptocurrency investment scheme’s marketing material to establish if it exhibits any of these red flags.

The study provides a red flag checklist for cryptocurrency Ponzi schemes.

The learning outcomes are as follows: to be able to evaluate early warning signs/red flags through financial statement analysis; to be able to analyse company’s credit or debt servicing using a thorough process of fundamental analysis; to be able to analyse and decode the financial health of an organization through different financial tools applicable according to the industry such as default probability and financial ratios; and to be able to synthesize credit rating framework and role of credit rating agencies in the bond market.

In late January 2019, the allegation by an online investigative portal about the misuse of the Dewan Housing Finance Corporation Ltd. (DHFL) money by its promoter for buying asset abroad was the start of the fall of the non-banking finance company giant. This was followed by a series of downgrade by credit rating agencies on its debt and eventual default on its interest payment on 4 June 2019 which upset multiple portfolio investors and the regulators. Investors became sceptical about the regulator’s policy and inefficiencies of credit rating agencies in predicting the default along with asset management houses which were expected to guard investors’ interest. One investor, Shikhar Pachori, decided to scrutinize all hidden information on DHFL to investigate if DHFL crisis arises because of unknown factors which was not in control of management or if it a clear negligence on the part of all involved parties. The case tries to emphasize the aspect of Asset-Liability Management and process of credit analysis while looking for red flags which aids in identifying any stress in company’s financial or any potential default by company.

This case can be used in the advance level of post-graduate finance course or MBA program for elective/specialization courses such as Financial Statement Analysis, Financial Institutions and Market and Fixed Income.

Teaching notes are available for educators only.

CSS 1: Accounting and Finance

This paper aims to provide a comprehensive review of literature on policing money laundering to evaluate the quality of evidence presented in academic and grey literature. In doing so, this paper reflects upon what strategies and mechanisms work in preventing, detecting and disrupting money laundering.

To investigate the quality of evidence presented in academic and grey literature on money laundering, the authors have conducted a structured literature review of over 1,000 sources. The authors have then evaluated the quality of evidence of these sources by using three distinct methods, namely, the Maryland scale, research excellence framework and quality of empirical evidence framework.

This paper finds a large number of studies on money laundering meeting the highest academic quality standard. However, only a very small number of those studies include empirical evidence that policing measures actually work with no study able to demonstrate a correlation between money laundering measures and risk factors at any point in time.

This paper provides practical and theoretical insights into what works in money laundering and the role of scientific evaluations. It is particularly relevant for the successful implementation of anti-money laundering policy measures, including, for example, the UK’s Economic Crime Plan 2023–2026, which aspires to measure the progress and impact of policing in this area.

According to the Association of Certified Fraud Examiners, financial statement fraud represents the smallest amount of fraud cases but results in the greatest monetary loss. The researcher previously investigated the characteristics of financial statement fraud and determined the presence of 16 fraud indicators. The purpose of this study is to establish whether investors and other stakeholders can detect and identify financial statement fraud using these characteristics in an analysis of a company’s annual report.

This study analyses a financial statement fraud case, using the same techniques that were previously applied, including horizontal, vertical and ratio analysis. These are preferred because stakeholders have relatively easy access to them.

The findings show several fraud characteristics, with a few additional ones not previously found prevalent. Financial statement fraud thus tends to differ between cases. It is also easier to detect and identify fraud indicators ex post facto.

This study is a practical case showing that financial statement fraud can be detected and identified in the financial statements of companies that commit fraud.

This study aims to objectively synthesize the volume of accounting literature on financial statement fraud (FSF) using a systematic literature review research method (SLRRM). This paper analyzes the vast FSF literature based on inclusion and exclusion criteria. These criteria filter articles that are present in the accounting fraud domain and are published in peer-reviewed quality journals based on Australian Business Deans Council (ABDC) journal ranking. Lastly, a reverse search, analyzing the articles' abstracts, further narrows the search to 88 peer-reviewed articles. After examining these 88 articles, the results imply that the current literature is shifting from traditional statistical approaches towards computational methods, specifically machine learning (ML), for predicting and detecting FSF. This evolution of the literature is influenced by the impact of micro and macro variables on FSF and the inadequacy of audit procedures to detect red flags of fraud. The findings also concluded that A* peer-reviewed journals accepted articles that showed a complete picture of performance measures of computational techniques in their results. Therefore, this paper contributes to the literature by providing insights to researchers about why ML articles on fraud do not make it to top accounting journals and which computational techniques are the best algorithms for predicting and detecting FSF.

This paper chronicles the cluster of narratives surrounding the inadequacy of current accounting and auditing practices in preventing and detecting Financial Statement Fraud. The primary objective of this study is to objectively synthesize the volume of accounting literature on financial statement fraud. More specifically, this study will conduct a systematic literature review (SLR) to examine the evolution of financial statement fraud research and the emergence of new computational techniques to detect fraud in the accounting and finance literature.

The storyline of this study illustrates how the literature has evolved from conventional fraud detection mechanisms to computational techniques such as artificial intelligence (AI) and machine learning (ML). The findings also concluded that A* peer-reviewed journals accepted articles that showed a complete picture of performance measures of computational techniques in their results. Therefore, this paper contributes to the literature by providing insights to researchers about why ML articles on fraud do not make it to top accounting journals and which computational techniques are the best algorithms for predicting and detecting FSF.

This paper contributes to the literature by providing insights to researchers about why the evolution of accounting fraud literature from traditional statistical methods to machine learning algorithms in fraud detection and prediction.

Using a qualitative grounded theory approach, this study explores the methods experienced external auditors use to detect fraudulent financial reporting (FFR) during standard audits.

Semi-structured interviews were conducted with 24 experienced external auditors to explore the methods they used to detect FFR successfully during standard external audits.

The authors find 58 methods used for FFR detection, out of which the following methods are frequently used and help in detecting more than one type of FFR: (1) specific analytical procedures, (2) positive confirmation, (3) understanding of the client's business and industry, (4) the inspection of specific documents, (5) a detailed analysis of the audit client's anti-fraud controls and (6) investigating tip-offs from suppliers, employees and customers.

Based on the grounded theory approach, the authors theorise that auditors must return to the basics and focus on specific audit procedures highlighted in this study for effective fraud detection.

The study provides practical guidance, including 58 methods used in audit practice to detect FFR. This knowledge can improve auditors' skills in detecting material misstatements due to fraud. Besides, analytical procedures and positive confirmation helped external auditors in this study detect all forms of FFR, yet they are overlooked in the external audit practice. Therefore, audit firms should emphasise the significance of these audit procedures in their professional audit training programmes. Audit regulators should advise auditors to consider positive confirmation instead of negative confirmation in financial audits to increase the likelihood of FFR detection. Moreover, audit standards (ISA 240 and SAS 99) should explicitly require auditors to conduct a detailed analysis of the client's anti-fraud controls.

This is the first study to identify actual, effective methods used by external auditors in detecting FFR during the ordinary course of an audit.

This work aims to understand how social value is created and delivered using community-based water supply projects. It examines social value creation given the enabling concepts – value co-creation and service ecosystems as business models for infrastructure.

Inductive reasoning, including qualitative research design, was applied to two water supply projects. The qualitative stage created social value co-creation features using the purposive sampling of 72 semi-structured interviews.

The qualitative analysis features social value co-creation, which includes a sense of social unity, end-user empowerment, Behavioural transformation, and knowledge transfer. Although value destruction also emerged while examining social value co-creation, the research identifies the “red flags” and value contradictions that must be avoided.

The enablers of sustainable infrastructure projects should include social value, service ecosystems and value co-creation.

There is a need for the government and non-governmental organisations to create enabling platforms that involve a planned dialogical communication process supporting the development and enhancement of relationships of stakeholders to maximise social value from infrastructure projects.

The work offers a widened perspective of social value creation and a new framework called “Social value co-creation/destruction” (SVCC/SVCD) as the business model for sustainable infrastructure projects. It is the first attempt to illustrate social value creation in construction from service ecosystems and value co-creation perspectives.

This paper aims to provide a systematic literature review (SLR) on contemporary cardinal money mule issues.

This paper reviews the most common money mule themes in perpetrating financial crime activities, especially its roles, recruitment and awareness. A systematic review protocol called preferred reporting items for systematic review and meta-analysis protocols is adopted for this study.

Money mules are used by organized criminal groups (OCG) or fraudster to launder illicit funds from outrageous criminal activities. They allow their accounts to be used for money laundering by OCG. The attacker, OCG or fraudsters would layer the stolen funds using money mule accounts. These money mules are recruited using various approaches, oftentimes deceived by opulent lifestyles to captivate the interest of potential money mules.

This paper presents money mule awareness needed by accountant, bank employees and the society. It is an unprecedented SLR on money mule. This paper will be beneficial for future money mule researchers, enforcement agencies and practitioners in banking industry.

The primary purpose of this exploratory paper is to propose a novel analytical framework for examining corruption from a behavioral perspective by highlighting multiple issues associated with consumerism.

This paper examines the relationship between excessive consumption activities and corrupt acts, drawing upon existing literature on corruption, consumerism and consumption, as well as multiple reports and cases of corruption and money laundering in Indonesia. With regard to corruption networks, this paper analyses the associated behavioral patterns and social dynamics by using the Fraud Triangle and the Fraud Elements Triangle frameworks to examine the phenomenon of living beyond one’s means. This paper also addresses the notion of sacredness in the context of consumer activities and how such sacredness plays a role in causing otherwise honest individuals to engage in corrupt acts.

The author established that corruption represents a complex societal issue that extends across several dimensions of society, encompassing both horizontal and vertical aspects. Consequently, addressing this problem poses significant challenges. Excessive consumption has been identified as one of the various behavioral concerns that are implicated in the widespread occurrence of corruption in many nations. Individuals who partake in excessive consumption play a role in shaping ethical norms that serve to legitimize and rationalize immoral behavior, therefore fostering a society marked by corruption. The act of engaging in excessive consumption is also associated with cases of money laundering offenses that are connected to corruption and several other illicit activities. The lifestyle of corrupt individuals is one of the primary behavioral concerns associated with corruption, as “living beyond means” is the most common behavioral red flag among occupational fraud offenders worldwide. The phenomenon of consumerism may also shape the minds of individuals as if it were an “implicit religion” due to the fact that it may generate human experiences that elicit highly positive emotions and satisfy certain sacredness-associated characteristics. The pursuit of transcendental experiences through the acquisition and consumption of sacred consumption objects may heighten the incentive to commit fraudulent acts such as corruption.

This self-funded exploratory study uses document analysis to examine the corruption phenomenon in Indonesia. Future studies will benefit from in-depth interviews with former offenders and investigators of corruption.

This exploratory study contributes to advancing corruption prevention strategies. It does this by introducing a novel analytical framework that allows for the examination of several behavioral issues associated with consumerism, which have the potential to foster the proliferation of corruption.

This exploratory study highlights the importance of comprehending the intricacies of consumerism, namely, its adverse effects on the proliferation of corruption.

The purpose of this paper is to provide a high-level analysis of the intersection emerging cryptocurrency sector with anti-money laundering (AML) regulations and risk-based AML diligence systems maintained by financial institutions.

The analysis begins with a description of cryptocurrencies, focusing specifically on how the supporting technologies and applications increase vulnerabilities. The information will lay the foundation for examining the vulnerabilities existing in the architecture of cryptocurrency technology, as well as potential targets for regulations. The second part of the analysis will then shift focus to defining the scope of the money laundering problem associated with cryptocurrencies. An in-depth understanding of the problem is necessary to inform tailored AML legislation and regulations. The third part of the analysis will explore emerging AML regulations that govern cryptocurrencies, focusing specifically on those being developed and implemented in the United Arab Emirates (UAE). The UAE regulations will then be compared to those of the USA and European Union (EU) for comparative analysis and best practices.

The UAE has a robust legal system aimed at bolstering AML efforts while supporting widespread integration of crypto assets into business and government operations. A review of the UAE’s legislative framework reveals critical issues. First, the current regulations do not cover decentralized finance (DeFi) and non-fungible tokens (NFTs). The absence of clear regulations for DeFi and NFT protocols has created a leeway for money laundering and related criminal activities. Second, there is a high level of fragmentation in the UAE’s legislative landscape. The UAE does not have uniform, national laws that apply to all the Emirates. Fragmentation is not unique to the UAE but a major global problem that affects the USA and EU. Therefore, it is necessary to adopt a tailored approach where standard rules and regulations are responsive to the diverse aspects of cryptocurrencies. The strategy is vital, as it will be impractical to create a single legislation or law that will cover all the crypto assets, including their diverse applications. Furthermore, the Financial Action Task Force (FATF) should develop a global standard that will support a unified/harmonized application of AML/counter-terrorist financing (CTF) laws and regulations related to cryptocurrencies and the blockchain technology.

The borderless nature of digital currency and exchanges means that the existing laws and regulations are inadequate to address cross-border money laundering activities. Thus, there is an urgent need of harmonizing global regulations to ensure uniformity in applications. The quest for harmonization should be a priority as the FATF works towards developing a global standard. The global standard will support a uniform application of AML/CTF laws and regulations related to cryptocurrencies and the blockchain technology.