PurposeThe purpose of this study is to examine Iran’s anti-money laundering (AML) system from a legal and criminal perspective and to understand the obstacles for international cooperation and the extent to which it aligns with financial action task force (FATF) standards. In this regard, three aspects are examined, namely, enforcement and guarantees of preventive measures, penalty for ML offences and the burden of proof.Design/methodology/approachThis subject is examined through the legal–criminal perspective, which concentrates on the effectiveness of legal measures in tackling criminal issues by focusing on criminal law. The legal–criminal viewpoint considers criminal behaviour as a breach of societal norms and strives to combat it through legal channels.FindingsIran’s AML laws and regulations are partially compliant with the financial action task force (FATF) recommendations. However, the main obstacle is not the lack of sufficient laws, rather the lack of proper implementation of these laws. In addition, there are foundational shortages, such as the absence of a national risk document to guide an action based on current risks.Originality/valueNo comprehensive study has analysed Iran’s AML laws, referring to the three main aspects of enforcement and guarantees of preventive measures, penalties for ML offenses and the burden of proof. In general, there are few research papers on Iran’s AML laws owing to Iran’s high ranking in ML/TF. However, analysing Iran’s regulations can be helpful in taking a step towards effective international AML practices.

PurposeThis paper aims to investigate the relationship between digitalization and money laundering and tests whether ethical behaviour of firms and corruption moderate this association.Design/methodology/approachThe sample includes 114 countries during 2016. Basel Anti-Money Laundering Report for 2016 is used to collect data concerning money laundering. Digitalization proxies are collected from digital adoption index from the World Bank for 2016. Finally, the remaining variables are gathered from the Global Competitiveness Report for the same year.FindingsResults show negative and significant associations between the overall digitalization score and sub-scores dealing with digitalization adoption by businesses, people and government and money laundering. When testing for the moderating effect of corruption, the negative and significant association remains stable for both low and high corrupt environments for the overall digitalization score and sub-scores dealing digitalization adoption by businesses and people and money laundering. Similarly, ethical behaviour of firms does not moderate the association between digitalization (overall index and digitalization by business and people) and money laundering, as the relationship remains negative and significant for low and high ethical behaviour sub-samples. By contrast, the association becomes insignificant between digitalization adoption by government and money laundering for countries characterized by high corruption and low ethical behaviour of firms, while it is negative and significant for countries characterized by low corruption and high ethical behaviour firms.Originality/valueThese findings confirm that digitalization effort represents a crucial arm to combat money laundering. It also emphasizes the interrelation that may exist between digitalization effort in governmental institutions and institutional environment, as low levels of money laundering cannot be reached if the digitalization effort undertaken by governments is not supported by low corruption and ethical business environment.

PurposeThis study aims to make some contribution to the process of corporate compliance governance in China.Design/methodology/approachThis paper adopts qualitative method, literature research, case analysis and comparative methods to explore the Chinese compliance governance model in the field of collusive bidding crimes.FindingsIn the process of criminal prosecution of enterprises suspected of committing crimes, the judicial authorities should promote the restoration of normal production and operation of corporate enterprises by promoting the construction of corporate compliance, which is conducive to solving the difficult problem of attribution of collusive bidding crimes. In addition, corporate compliance under prosecutorial supervision is also conducive to optimizing the regulatory path of collusive bidding and achieving more effective prevention and control of unit crimes in the mode of co-regulation between the state and corporate.Originality/valueCompliance governance corporate crime is at a nascent stage in China, and this study seeks to provide some reference for future compliance review governance in China through the analysis of specific business crime cases.

Purpose The purpose of this paper is to discuss the practical problems which Swiss financial service providers face following the government’s decision to implement economic sanctions. Design/methodology/approach The practical problems of implementation are based on the identified methods of circumvention in the first author’s empirical research on the mechanisms of money laundering. Findings Secure anti-money laundering mechanisms promote the smooth implementation of sanctions. Despite the novelty of specific sanctions requirement, it is possible to have a supportive framework in place. Also, there remain a number of practical hurdles for Swiss banks to overcome, including the pressure on sanction alignment and the significant threat of noncompliance. Originality/value The sanctions imposed on Russia in 2022 are largely examined either from a broad political perspective or from the finite details of a business consultancy perspective. This paper aims to reconcile both perspectives to illustrate how the concrete problems of sanction implementation becomes evident in the wider political picture.

PurposeThis study aims to review the current EU approach to regulating crypto assets. It highlights the key points, opportunities and risks of the MiCA regulation, which is designed to provide a comprehensive regulatory framework for digital assets in the EU.Design/methodology/approachTo do so, the authors extensively reviewed the literature and reports from several advisory and watchdog bodies and international organizations.FindingsAlthough MiCA is an ambitious piece of legislation, there are still many unresolved issues and questions that the new regulation raises. Controversially several items have also been excluded from the MiCA regulations, including decentralized finance, non-fungible tokens unless they qualify under the existing cryptocurrency categories, as well as central bank digital currencies.Originality/valueThis study also addresses the Liechtenstein Token Act Regulation, which is considered to have served as a model for the EU MiCA Directive and the regulation of cryptocurrencies at the European level.

PurposeThis paper aims to critically examine the digital transformation of anti-money laundering (AML) and countering the financing of terrorism (CFT) in light of the Financial Action Task Force (FATF) San Jose principles, the Organisation for Economic Co-operation and Development (OECD) principles for artificial intelligence (AI) and the proposed European Union (EU) Artificial Intelligence Act. The authors argue that AI tools can revolutionize AML/CFT and asset recovery, but there is a need to strike a balance between optimizing AML efficiency and safeguarding fundamental rights.Design/methodology/approachThis paper draws on reports, legislation, legal scholarships and other open-source data on the digital transformation of AML/CFT, particularly the deployment of AI in this context.FindingsA new regulatory framework with robust safeguards is necessary to mitigate the risks associated with the use of new technologies in the AML context.Originality/valueThis study is one of the first to examine the use of AI in the AML/CFT context in light of the FATF San Jose principles, the OECD AI principles and the proposed EU AI Act.

PurposeMoney laundering (ML) has become a significant challenge all over the world today. Trade-based money laundering (TBML) is a type of ML that poses a hazard to any country. In recent years, developed and developing countries have pursued liberal policies for international financial markets. The Financial Action Task Force (FATF) defines TBML as the process of concealing criminal earnings and shifting value through trade transactions in an attempt to justify their illicit origins. As international financial markets have improved ML controls, criminals have turned to the trade sector as a new venue, raising trade risks. The purpose of this study is to highlight the danger posed by TBML and the initiatives that should be taken to prevent such.Design/methodology/approachA review of publicly available reports, case studies, secondary data and literature on TBML from a variety of Sri Lankan and international contexts comprised the methodology. However, due to the dearth of literature on TBML details/information in the Sri Lankan context, international case studies have been analyzed. More critically, there are no precise estimates of TBML or defined protocols for collecting and maintaining TBML data. As a result, the FATF potential TMBL typologies were analyzed, and typical TBML procedures were examined to identify viable treats for Sri Lanka.FindingsThe study found that TBML has a significant effect on the economy and, as a result, social conflicts. Sri Lanka has the potential for TBML, and ML through financial institutions was identified as a major risk. Literature, on the other hand, shows that a large quantity of money has been laundered using TBML in Sri Lanka. The geographical location entices criminals to wash their illicit gains, and so the country has potential danger from South Asian countries. However, because of the sociopolitical climate in Sri Lanka, criminals are constantly looking for ways to profit illegally. Relaxing rules to promote foreign investment may encourage launderers to use their illicit proceeds. The government needs to take great care when dealing with this particularly delicate issue.Research limitations/implicationsDue to the complexity of financial crimes, this study had a number of limitations, as do many others. The data used for this study was sourced from publicly available information and the TBML has been clearly defined or understood due to the fact that the complexity of the methods used by criminals. As a result, the number of local instances reported on TMBL is quite small, hence this study relied on international case studies.Originality/valueThis research on TBML in Sri Lanka is original. It is anticipated that the findings and contribution of the study would help the stakeholders develop TBML prevention measures.

PurposeThis paper aims to reviews the literature on applying visualization techniques to detect credit card fraud (CCF) and suspicious money laundering transactions.Design/methodology/approachIn surveying the literature on visual fraud detection in these two domains, this paper reviews: the current use of visualization techniques, the variations of visual analytics used and the challenges of these techniques.FindingsThe findings reveal how visual analytics is used to detect outliers in CCF detection and identify links to criminal networks in money laundering transactions. Graph methodology and unsupervised clustering analyses are the most dominant types of visual analytics used for CCF detection. In contrast, network and graph analytics are heavily used in identifying criminal relationships in money laundering transactions.Originality/valueSome common challenges in using visualization techniques to identify fraudulent transactions in both domains relate to data complexity and fraudsters’ ability to evade monitoring mechanisms.

PurposeThe purpose of this study is to identify money laundering typologies and techniques in Ethiopia.Design/methodology/approachThis is a descriptive study that relies on primary data generated from interviewees drawn from the Ethiopian Financial Intelligence Center, Ethiopian Customs Commission, selected commercial banks and law enforcement agencies, as well as secondary data from government reports, media press, statutes and other online and offline sources.FindingsAccording to this study, criminals in Ethiopia used several laundering techniques, the most common of which are money laundering using financial institutions, trade-based money laundering, cash-based money laundering, money laundering through illegal hawala, shell companies, or anonymous beneficiaries. Criminals have recently been suspected of using financial technologies and virtual currencies to launder the proceeds of their illicit activities. The laundering strategies are extremely intertwined and their distinction remains highly blurred. Moreover, the typologies are operated transnationally, despite being highly tailored to Ethiopia’s political economy.Originality/valueThis is one of the very few papers to date that provides the typologies and techniques of money laundering, specifically in the context of cash-intensive economies.