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This paper aims to examine the association between money laundering (ML)/terrorist financing (TF) risks (hereafter, money laundering risks) and democratic governance across 117 countries.

A cross-sectional design was used to examine the association between ML risks and democratic governance by a quantitative approach. The findings are based on annual ratings of 117 countries on ML/TF risks and democracy while controlling for criminality and peace. The data was compiled from the Basel Anti-Money Laundering/Countering Financing Terrorism Risks Index, the Economic Intelligence Unit (Democracy Index), the Global Initiative against Transnational Organized Crimes (Criminality Index) and the Institute for Economics and Peace Index for 2020.

A multiple linear regression model found a statistically significant negative association between democratic governance and ML risks (B = −0.354, t = −7.454, p = <0.001) and a significant positive association between criminality and ML risks (B = 0.242, t = 2.692, p = 0.008).

A cross-sectional design cannot determine causal inferences and generalization (Levin, 2006). The study only used a year to examine the hypothesis of a negative correlation between ML risks and democratic governance, thus making generalization difficult.

Extant literature examined ML, terrorism and AML diversely. There was a need to estimate the association between ML risks and democratic governance, especially globally, during a global crisis like COVID-19, when democratic principles, such as the rule of law, transparency and accountability, are challenged. Many personnel were laid off, thus limiting supervision for ML and TF. This study presents evidence of this association.

This paper aims to analyse the Financial Intelligence Units (FIUs) of Canada, Australia, The Netherlands and India, focussing on key internal and external processes, such as the exchange of information, operations and compliance with Financial Action Task Force (FATF) recommendations. The paper relies on secondary sources to compare and assess the practices and strategies employed by FIUs within these jurisdictions.

The paper relies on secondary sources to compare and assess the practices and strategies used by FIUs within these jurisdictions.

The ability to combat money laundering and the financing of terrorism (AML/CFT) in countries is influenced by several internal and external factors, including the efficiency of their FIUs’ and compliance with FATF recommendations. The analysis of FIUs across the countries demonstrates a raft of multifaceted challenges and concerns. Yet, when it comes to compliance with FATF’s recommendations, shared concerns emerge, hinting at the complex interplay between country-specific operations and global compliance standards. The paper recommends enhancements to the FIUs’ operational efficiency and overall effectiveness in combating financial crimes.

The paper’s findings are limited to openly available data (such as annual reports and internet sources) for the respective countries. The paper relies on the transparency of FIUs through public media, focusing on comparing and analysing the FIUs of only four specific countries, which limits the generalisations of the findings.

This paper is significant for policymakers and FIU authorities, as they strive to improve the effectiveness of their units and assess their performance in alignment with international standards. The comparative analysis of the FIUs of India, Australia, Canada and The Netherlands provides valuable insights and recommendations that can inform policymakers and operational strategies towards enhancing how FIUs function globally.

This paper offers a unique comparative analysis of the FIUs of India, Australia, Canada and The Netherlands. Its findings have practical implications for policymakers and FIU authorities towards enhancing performance against international AML/CFT standards and promoting global cooperation.

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.

The purpose of this paper is to find out the role and factors that lead to efforts by banking institutions to deal with money laundering by using the principle of knowing your customer.

This research method uses a sociological juridical approach and descriptive analysis in analyzing the data.

The results of the study found that the implementation of the principle plays a role in identifying each transaction, and if there is a transaction that is considered suspicious, each bank is required to report the transaction to the center for reporting and analysis of financial transactions.

Banks must reduce the risk of being used as a means of money laundering by knowing customer identities, monitoring transactions, maintaining customer profiles and reporting suspicious transactions made by parties using bank services. The application of the know your customer principle (KYCP) is based on the consideration that KYCP is not only important in the context of eradicating money laundering but also in the context of implementing prudential banking to protect banks from various risks in dealing with customers.

To the best of the author’s knowledge, this is first empirical study of banking in Indonesia that conduct money laundering crimes through application of KYCPs.

This study aims to investigate the determinants of anti-corruption disclosures by construction firms in Asia-Pacific countries.

The sample comprises construction companies from seven Asia-Pacific countries from 2015 to 2019. The authors hand-collected data on anti-corruption disclosures by using content analysis.

This study provides empirical evidence that government ownership, country-level accounting competence and high-quality auditors increase companies’ anti-corruption disclosures. Meanwhile, this study finds that uncertainty avoidance does not affect companies’ anti-corruption disclosures.

This study has a number of implications. First, government and professional accountant organizations need to improve accountants’ knowledge and competence through education, training and continuous professional development. Second, public accounting firms need to ensure the quality of their auditors, particularly in the technical competence in financial and nonfinancial reporting. Finally, universities must improve and update their curriculum regarding nonfinancial reporting issues.

This study is among the first to examine anti-corruption disclosure practices in the most corrupted settings, i.e. the construction industry in Asia-Pacific countries. It uses the isomorphism perspective to explain the influence of government ownership, country-level accounting competence and high-quality auditors on anti-corruption disclosure transparency. The number of prior studies investigating this association is very limited. Moreover, disclosures of anti-corruption information are complex and sensitive; thus, coercive, normative and mimetic pressures are required to achieve higher transparency and sustainability.

This study aims to conceptualize the UAE’s whistleblowing model by reviewing recent legislative updates directed toward removing potential legal deterrents, introducing legal protection and establishing numerous external whistleblowing channels. The study surveys these initiatives through the prism of the country’s unique socio-economic and judicial environments.

The study applies a conceptual approach to probe the potential impact of the UAE’s legislative initiatives on the country’s whistleblowing regime by connecting the demographic data, the UAE’s legal and regulatory frameworks, academic literature and media reports.

Recent legislative updates to the UAE whistleblowing regime are geared toward removal of potential legal deterrents, introduction of legal protection and establishment of external whistleblowing channels for reporting. These constitute the conceptual model of the UAE’s whistleblowing strategy, which is broad in scope and application yet may appear fragmented.

The study merges a comprehensive review of legislative initiatives and regulatory framework with academic literature to conceptualize the UAE’s whistleblowing model.

Many organizations currently transition towards digitalized process design, execution, control, assurance and improvement, and the purpose of this research is to empirically demonstrate how data-based operational excellence techniques are useful in digitalized environments by means of the optimization of a robotic process automation deployment.

An interpretive mixed-method case study approach comprising both secondary Lean Six Sigma (LSS) project data together with participant-as-observer archival observations is applied. A case report, comprising per DMAIC phase (1) the objectives, (2) the main deliverables, (3) the results and (4) the key actions leading to achieving the presented results is presented.

Key findings comprise (1) the importance of understanding how to acquire and prepare large system generated data and (2) the need for better large system-generated database validation mechanisms. Finally (3) the importance of process contextual understanding of the LSS project lead is emphasized, together with (4) the need for LSS foundational curriculum developments in order to be effective in digitalized environments.

This study provides a rich prescriptive demonstration of LSS methodology implementation for RPA deployment improvement, and is one of the few empirical demonstrations of LSS based problem solving methodology in industry 4.0 contexts.

This study aims to investigate the impact of terrorism on financial inclusion that is achieved through automated teller machine penetration and bank branch expansion.

Eight countries that are the most terrorized countries in the world were analysed using the panel fixed effect regression model and the generalized linear model.

The results provide evidence that terrorism reduces the level of financial inclusion in countries experiencing terrorism, but the presence of strong legal institutions, accountability governance institutions and political stability governance institutions mitigate the adverse effect of terrorism on financial inclusion.

A growing literature has shown that terrorism affects the economy, yet little is known about its impact on financial inclusion.

The implementation of the Directive 2015/849 of the European Parliament and of the Council of 20 May 2015 on the prevention of the use of the financial system for the purposes of money laundering or terrorist financing resulted in the enactment by the Polish Parliament of the Act of March 1, 2018, on the prevention of money laundering and terrorist financing. One of the most important issues identified in the Act was the establishment of the Central Register of Beneficial Owners. The purpose of this paper is to critically analyze the functioning of the Register in Poland from the perspective of three years since its establishment. The text presents the most important problems faced by reporting institutions and obliged entities due to discrepancies in the interpretation of the Act’s provisions – especially in terms of the definition of a beneficial owner.

The basic research approach was a comparative content analysis method. The objects of analysis included Polish Laws, Directive of the European Parliament and the Council (EU) 2015/849 and the judgment of the Court of Justice of the European Union. The theoretical legislative assumptions contained in the Acts were compared with reports, studies and communications prepared by public and private institutions. This made it possible to draw conclusions regarding the causes of problems with the functioning of the Register in Poland.

The results of the research showed that the ambiguity of the definition of the beneficial owner leads to a number of problems on the part of reporting institutions, such as companies, foundations and associations. On the other hand, a large part of the data entered in the Register is questioned by obliged entities. The lack of personal data protection is also a problem. Consequently, this reduces the value of the Register as a tool that effectively mitigates the risk of money laundering.

The research focused only on the functioning of the Central Register of Beneficial Owners in Poland. The subject of the analysis addressed problems with the definition of beneficial owner, issues of data quality and openness and the process of verifying the Register’s data. The technical aspects of the Register operation and the financial penalties imposed by public oversight institutions were not reviewed. Also, no comparison was made with other European Union (EU) member states that have implemented Directive of the European Parliament and of the Council (EU) 2015/849.

This study discusses the important issue of regulatory requirements introduced under EU regulations for private companies. Familiarization of companies, NGOs and obliged entities with the conclusions of the study can positively influence the consolidation of the correct interpretative path. In addition, to the best of the author’s knowledge, this is the first scientific text that identifies and systematizes the most important problems of the Register’s functioning in Poland.

The new technology-enabled means to transfer funds or value via crypto assets have prompted regulators and supervisors to question the effectiveness of the anti-money laundering (AML) regulatory framework. This paper aims to examine the recent developments of the EU AML legislation – leading up to the 2021 AML package – focusing in particular on the banks’ internal governance obligations.

The analysis is based on the legal dogmatic methodology and is therefore conducted thanks to a critical exam of the current and upcoming EU policy and legislation, taking into account the relevant literature and case-law.

The recent regulatory developments, culminating in the AML regulation, are strengthening the causal links between ML risk assessment–ML risk exposure–ML risk management, via internal governance procedures. One of the major AML regulatory strategies to react to the new challenges brought up by crypto assets amounts to a stricter and more demanding AML risk management regime imposed on banks.

The originality of this article lies in the analysis of the causal connection between money laundering risk identification and internal governance obligations. In particular, this article examines how the risk assessment will be shaping the organizational procedures, processes and internal functions necessary to manage the money laundering risks.