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This study aims to evaluate the suspicious transaction reporting (STR) as a financial intelligence tool to identify the potential strengths and limitations of STR and to come up with the criteria, which will make this tool an effective one in early detection of terrorist financing activities.

Considering the research aim, this research uses the funnelling method for identifying effectiveness criteria. Funnelling is a method of literature review that helps find pertinent literature by refining the search through filtering the available research (Ridley, 2008). Using this method, the researcher first applied the criteria of actionable intelligence to filter the financial intelligence tools to select the most promising and important tool (suspicious transaction reporting) for early detection of terrorist financing activities. The funnelling method was also applied to derive the effectiveness criteria from the operational features, and corresponding limitations, of the suspicious transaction reporting system. The funnelling method was also used to identify those operational features and limitations of suspicious transaction reporting that have the most direct relevance to the early detection problem of suspicious transaction reporting.

There are some operational features of STR that give rise to certain limitations that undermine its effectiveness in terms of early detection of terrorist financing activities. The limitations of STR necessitate a search for criteria that will make STR effective in early detection of terrorist financing activities. Based on the operational features and their corresponding limitations, effectiveness criteria for STR have been derived in this study. It is shown how these effectiveness criteria can remove the limitations of STR.

The list of operational features and the corresponding limitations based on which the effectiveness criteria have been derived may not be exhaustive. There may have other operational features, and corresponding limitations that also make STR largely ineffective in the early detection of terrorist financing activities, and for which more effectiveness criteria should also be derived.

The limitations and the effectiveness criteria will pave the way for redesigning STR in such a way that will make it highly useful for detecting financing activities relating to imminent terrorist attacks.

The society will experience fewer terrorist attacks that will make the society peaceful, happy and vibrant.

In this study, the effectiveness criteria of STR for early detection of terrorist financing activities have been derived in an innovative way by deducing them from the operational features of STR and the corresponding limitations.

This paper aims to provide authorities managing free trade zones, business enterprises, financial institutions and dedicated free zone customs, police and immigration command assigned to deal with aspects of movement of goods and persons in and out of the free zones with a clear understanding of the cross-border financial crime risks associated with the African Continental Free Trade Area and the risk control measures that combines human intelligence with advanced technology to combat cross-border financial crimes in the African Continental Free Trade Area.

A range of research activities would be used in this study. In addition to a sweeping literature review of academic, official studies and media writings, the main focus is on critically evaluating and analysing primary data by searching and collecting statutes, court cases, administrative rules and regulations and policy documents.

This paper identified bribery and corruption; modern slavery; and trade-based money laundering as the financial crime risks that are of priority concern to African Continental Free Trade Areas and demonstrated how countries can assess and mitigate these risks through adequate policies, procedures and controls including appropriate compliance management arrangement and adequate screening procedures to ensure high standards when hiring employees; corporate transparency; training on managing incidents of modern slavery, forced labour and third-party exploitation; and appropriate monitoring framework for trade-based money laundering activities.

While many authors have written research papers on intra-African trade, none of those research papers explained how countries can assess and mitigate financial crime risks in free trade zones. This research paper describes the ways in which cross-border financial crime risks can be assessed and adequately addressed by the authorities managing free trade zones. This research paper analyses the risk assessment topic in line with the African Continental Free Trade Area with a focus on free trade zones in Nigeria. This research paper would help authorities managing free trade zones, commercial organisations and business enterprises to identify, prevent and mitigate cross-border financial crime risks. Zone managements and business enterprises that implement the risk-based approach, in line with the guidance given in this research paper, will be well-placed to avoid the consequences of inappropriate de-risking behaviour.

The purpose of this paper is to study the turnover of Italian shell companies (SCs)/missing traders used for tax crimes, a predicate offence of money laundering. This research could be useful for Italian obliged entities to the Anti-Money Laundering Law to detect and report SCs, as soon as possible, to the Financial Intelligence Unit for Italy.

The author uses a sample of 32 SCs that are present in the Third Penal Section of the Italian Supreme Court in the period 2018–2020, involved in tax crimes and that have presented their balance sheets for two or more years. For SCs, the author computes the averages for: the turnover growth rate from first and the maximum turnover; the years between these two values; and the years in which SCs are active. Moreover, the author verifies if SCs are similar in terms of turnover by studying the relationship between the turnover growth rate and the first turnover and the reduction of turnover standard deviations.

SCs growth is very high and they reach, on average, their peak in less than three years; SCs are active, on average, for about four years; eventually, SCs exhibit a convergence process in turnover levels.

To the best of the author’s knowledge, there are no studies that analyse the SC turnover.

This study aims to investigate the impact of FinTech on money laundering within the context of Nigeria. The motivation stems from observations suggesting that FinTech platforms might be used for illicit money transfers, particularly from developed to developing economies. While existing literature predominantly highlights the positive aspects of FinTech, there's a dearth of studies addressing its potential association with money laundering. Current understanding of this relationship relies heavily on anecdotal evidence derived from reported or convicted cases. Thus, the primary goal of this study is to analyze the influence of FinTech on money laundering while also considering the moderating effects of financial regulation and financial literacy as perceived by users. The research delves into regulatory perspectives concerning money laundering and FinTech.

To fulfill the study's objectives, a quantitative research design is used. A survey of 248 FinTech users in Nigeria is conducted using structured questionnaires. Data collected from the questionnaires is analyzed using partial least square structural equation modeling (PLS-SEM).

The quantitative analysis revealed a significant relationship between FinTech and money laundering and that financial regulation moderates the relationship between FinTech and money laundering in Nigeria, but such was not established with respect to financial literacy. The results of the quantitative approach that uses secondary data are consistent with the qualitative approach. FinTech the results indicate the presence of technology induced money laundering in Nigeria. Regulating technology-based anti-money laundering poses serious challenges for developing countries due to the absence of specific laws that mitigate the threats.

The paper focuses on Nigeria as a case study, which may limit the generalizability of the findings to other countries with different FinTech ecosystems, regulatory frameworks and financial literacy levels.

The finding is useful in developing guidelines and regulations by policymakers and strategies by practitioners in relation to FinTech, money laundering, financial regulation and financial literacy. On the basis of the above, the authors recommend regulation at the national and industry level to mitigate the adverse effect of technology on money laundering. Thus, multilateral partnerships can help in tackling tech-induced money laundering through strengthened cooperation.

Money laundering risks: The study highlights that FinTech, while beneficial, also poses significant risks for money laundering activities, especially in developing countries like Nigeria. Regulatory Importance: It emphasizes the critical role of financial regulations in mitigating the risks associated with FinTech and money laundering. Financial Literacy: The paper suggests that financial literacy does not significantly moderate the relationship between FinTech and money laundering, indicating the need for stronger regulatory measures rather than relying solely on financial literacy. Policy Formulation: The findings are crucial for policymakers to formulate strategies that balance the benefits of FinTech with the need to prevent money laundering and ensure financial system integrity.

This research presents a novel approach to methodology, specifically focusing on the qualitative research design, addressing population, sampling techniques and data collection methods. It emphasizes techniques aimed at ensuring measurement quality and achieving research objectives. Data collection used survey questionnaires, while analysis involved both statistical package for social science (SPSS) and PLS-SEM. SPSS facilitated descriptive and preliminary analyses, while PLS-SEM confirmed measurement quality and tested hypotheses. Ethical considerations were paramount throughout the research process, underscoring the commitment to maintaining originality in research endeavors.

This paper aims to unveil the darker side of cryptocurrencies by delving into its role as an obstacle to investments in Middle East and African (MEAs) countries, unravelling the challenges involved. Indeed, despite the rise of blockchain-related technologies, specifically cryptocurrencies, having undeniably unlocked new avenues for business and society, crypto for venture funding purposes may exhibit a “dark side” due to their use for unethical purposes, for example, money laundering or terrorism financing, largely diffused in certain areas of MEA countries.

Through an explorative research design, using a mix of techniques based on both qualitative and interpretive methods, we conducted in-depth interviews among 33 European managers of companies engaged in MEA markets or aspiring to invest in such foreign markets, to analyse their thoughts, perceptions and possible strategies concerning the management of the “dark side” of cryptocurrencies in MEAs.

Our investigation unearthed seven pivotal issues, which manifest as significant barriers related to the ambivalent use of crypto for funding projects, encompassing seven important consequential elements: (1) lack of knowledge about the technology’s potentialities; (2) perceptions of crypto technology’s ambivalence; (3) reputation and image consequences; (4) uncertainty about the destination of the invested funds; (5) decreased attractiveness of MEAs; (6) competition and market; and (7) lack of control and regulation. We grouped these into technology-related, business-related and legal- and policy-related barriers. Such findings underline the probable decrease in attractiveness of MEAs in terms of investments, together with the triggering factors and potential strategic solutions to mitigate such circumstances.

Future studies could explore a broader sample of managers since we only considered the perception of European managers operating in companies that invest (or are intending to invest) in MEAs. Moreover, future research may extend the analysis to MEA-native companies or those engaging in reciprocal exchanges with Western countries.

Practically, our findings suggest several elements in which to intervene to mitigate managers’ negative perception of the unethical use of cryptocurrencies in MEAs and to support CEOs’ and CFOs’ strategies, together with requirements to ensure the unaltered attractiveness of investments in an otherwise thriving region of the world, without overlooking the protection and safeguarding of investments and the health of the market and competition. Furthermore, a call for future research in this domain, along with at least minimal regulatory mechanisms, clearly emerges.

Our findings underline the social challenges associated with the perception and acceptance of cryptocurrencies in these contexts, influencing cultural and social dynamics. Moreover, the identification of these barriers could underscore the significance of awareness of and education on blockchain technology and cryptocurrencies within society, including implications for policymakers.

Despite prior investigations into the negative effects of cryptocurrencies as a form of venture funding, no studies to date have examined managers’ perceptions by focusing on possible barriers to investment in MEA countries due to the unethical usage of crypto. Importantly, this paper unravels the unexplored complexities of crypto’s impact on ethical investments in MEAs, showcasing an original perspective.

The purpose of this article is to review the legislation on limitation on cash payment from a comparative perspective with France. This legal provision has been the subject of inconsistency and lack of clarity for the past two decades.

This paper uses a doctrinal legal research technique based on an analysis of the law and how it is interpreted in relation to Mauritius's prohibition on cash payments. Section 5 of the FIAMLA 2002 is interpreted in large part by this assessment using legal precedents from the Supreme Court and other Mauritius judicial authorities. France has been chosen as the comparative jurisdiction as it has well-defined legal framework on cash payment limitations in Europe.

The Mauritian judiciary has played a far more significant and active role than the French judiciary. A cursory search reveals a dearth of case law concerning the interpretation of the pertinent sections of the French Monetary and Financial Code concerning the prohibition on cash payments. The French legal system places more emphasis on the kinds of transactions that are exempt, whereas the Mauritius system places more attention on the entities that are exempt, such as banks and other financial organisations.

This paper fills in the gap that exists on legal interpretation of legislation on limitation on payment by cash in Mauritius. It originally contributes to legal literature on money laundering by undertaking a comparison between Mauritius and France for the benefits of students and researchers around the world.

This study aims to analyze the complex dynamics of money laundering (ML) in the export sector of developing countries, with a special focus on Bangladesh. It aims to uncover the strategies and tactics money launderers use to exploit export transactions and understand the vulnerabilities that exist in economies where enforcement agencies neglect the export industry.

This study examines Bangladesh’s export sector ML using qualitative methods. Customs officers, central bank officers, port authorities and selected exporters were interviewed semi-structured. Document analysis of Bangladesh Bank orders, media and Customs Intelligence and Investigation Directorate reports was also done. Qualitative data patterns were identified using theme analysis.

The study identifies the most vulnerable export commodities – readymade garments, agricultural items and processed foods – as prime targets for ML. Key methods of laundering include under-invoicing, over-invoicing, misdeclaration and fake documentation. The research highlights the significant risk posed by the improper use of government financial incentives and introduces the “sample shipment” method as a novel laundering tactic. The findings underscore the need for stronger oversight and controls to mitigate these risks.

This research is limited by single-point data because ML is a continual activity. The reliance on case studies from newspaper reports and online platforms introduces a degree of selection bias and the chosen instances may not comprehensively represent the broader landscape of trade-based ML.

The study provides several practical recommendations for policymakers and law enforcement agencies to fortify the export sector against exploitation by money launderers, ensuring greater transparency and accountability in international trade operations.

By closing loopholes in the export sector, the research supports the Sustainable Development Goals, particularly Goal 16.4, which aims to reduce illicit financial flows, thereby contributing to poverty eradication and economic stability in developing countries.

Original research results supported by technical analysis are presented in this work. It contributes to the body of knowledge by detailing the adaptive strategies of money launderers and proposing targeted recommendations for enhancing the integrity of the export sector.

This paper aims to investigate technological innovations within the crypto space that have engendered novel financial crime risks and their potential utilization amidst geopolitical conflicts.

The theoretical paper uses an analysis of recent geopolitical events, with a key focus on using cryptocurrencies to undertake illicit activities.

The study found that cryptocurrencies and the innovations made within the crypto domain are used for both legitimate and illicit purposes, including money laundering, terrorism financing and sanction evasion.

This research contributes to understanding the critical role cryptocurrencies play amidst geopolitical conflicts and emphasizes the need for regulatory considerations to prevent their misuse. To the best of the authors’ knowledge, this paper is the first scholarly contribution that considers the evolving mechanisms afforded by cryptocurrencies amidst geopolitical conflicts in undertaking illicit activities.

The purpose of this paper is to examine the extent to which the corporate social responsibility (CSR) law will help combat money laundering in the United Arab Emirates (UAE).

The paper will first focus on examining whether money laundering and CSR are compatible. Such an analysis will then inform decisions on whether to include anti-money laundering in CSR disclosure requirements.

Key findings from the analysis have shown that the UAE CSR law does not explicitly mention money laundering as part of CSR disclosure requirements. Anti-money laundering (AML) and CSR are compatible and convergence, but money laundering is not yet an integral element of CSR disclosure requirements.

There are no clear mechanisms or provisions under the UAE CSR law on how money laundering can be included in CSR disclosure requirements, whether voluntary or mandatory. A pressing challenge now is whether the UAE should regulate AML/combatting the financing of terrorism disclosures under the CSR law. The main concern is that such a move could make mandatory disclosure another technical and regulatory requirement that UAE business must comply, which will be inimical to fostering a strong CSR culture.

This paper aims to offer the first known synthesis of peer-reviewed literature on trade-based money laundering (TBML). Given the topic is in its nascent stage yet gaining prominence across scholarship and practice, this foundation is pertinent for future TBML research.

A systematic literature review was undertaken with a formulaic search string. Both qualitative (thematic) and quantitative (meta) analysis methods were used to illustrate the findings.

The systematic literature review, using qualitative and quantitative synthesis, led to a thematic categorization of extant TBML literature into four categories: TBML risk assessment, TBML detection, the role of professionals and understanding of TBML. Due to the limited number of studies, insights that can be drawn from the extant literature on the best way to combat TBML are also limited.

As the first systematic literature review on TBML, this study identified that the existing TBML literature has focused on increasing the understanding of the phenomenon in terms of its definition and mechanisms, detection, linkage with other crimes, such as organized crime and terrorism financing, and risk assessment frameworks. The originality of these findings lies in identifying areas future researchers might explore to broaden the academic literature.