Search results

The purpose of this study is to explore and use artificial intelligence (AI) techniques for identifying the relevant attributes necessary to file a suspicious activity report (SAR) using historical customer transactions. This method is known as predictive modeling, a statistical approach which uses machine learning algorithm to predict outcomes by using historical data. The models are applied to a modified data set designed to mimic transactions of retail banking within the USA.

Machine learning classifiers, as a subset of AI, are trained using transactions that meet or exceed the minimum threshold amount that could generate an alert and report a SAR to the government authorities. The predictive models are developed to use customer transactional data to predict the probability that a transaction is reportable.

The performance of the machine learning classifiers is determined in terms of accuracy, misclassification, true positive rate, false positive rate and false negative rate. The decision tree model provided insight in terms of the attributes relevant for SAR filing based on the rule-based criteria of the algorithm.

This research is part of emerging studies in the field of compliance where AI/machine learning technology is used for transaction monitoring to identify relevant attributes for suspicious activity reporting. The research methodology may be replicated by other researchers, Bank Secrecy Act/anti-money laundering (BSA/AML) officers and model validation analysts for BSA/AML compliance models.

How can we explain the unresponsiveness of Internal Audit (IA) amid signs that fraud is arising and spreading within an organization? Internal auditors are entrusted with the formal responsibility of sounding the alarm about the risk of fraud and organizational wrongdoing. However, internal auditors failed to respond as the cross-sell fraud at Wells Fargo’s Community Bank (CB) Division unfolded over more than a decade, growing into a massive, full-fledged scandal. We examine IA as a profession and explore how the interpretation of three classic tenets of auditing (scope, compliance and materiality) may enable organizational wrongdoing to fester unattended until it erupts into yet another scandal. We conclude with implications for the socialization and practice of internal auditors, emphasizing the need for reflexivity and moral judgment in the interpretation and application of tenets so deeply ingrained in the IA profession.

Upon completion of this case study, students will be able to analyze the interplay between small business growth and innovation in sustainable entrepreneurial success; evaluate factors influencing the adoption of technological innovations within startups; and decide on the optimal technological innovation for achieving sustainable growth in a startup.

This case study is about Liliana, a young Colombian entrepreneur. She had to decide how to innovate in her process of providing regulatory compliance and due diligence consulting services. According to Law 1778 of 2016, compliance and due diligence services became mandatory for companies with international operations in Colombia. Lemaître, Liliana’s venture, provided this service in an artisanal way. However, her market required the incorporation of technologies. Liliana must choose what to automate in her process and what to keep traditional. Not innovating meant Lemaître would be unable to grow, causing the sustainability of the business would to be at risk.

This case study is suitable for use for master of business administration students and in executive education short courses.

Teaching notes are available for educators only.

CSS 3: Entrepreneurship.

This study aims to address a systematic literature review (SLR) using bibliometrics on the relationship between academic integrity and artificial intelligence (AI), to bridge the scattering of literature on this topic, given the challenge and opportunity for the educational and academic community.

This review highlights the enormous social influence of COVID-19 by mapping the extensive yet distinct and fragmented literature in AI and academic integrity fields. Based on 163 publications from the Web of Science, this paper offers a framework summarising the balance between AI and academic integrity.

With the rapid advancement of technology, AI tools have exponentially developed that threaten to destroy students' academic integrity in higher education. Despite this significant interest, there is a dearth of academic literature on how AI can help in academic integrity. Therefore, this paper distinguishes two significant thematical patterns: academic integrity and negative predictors of academic integrity.

This study also presents several contributions by showing that tools associated with AI can act as detectors of students who plagiarise. That is, they can be useful in identifying students with fraudulent behaviour. Therefore, it will require a combined effort of public, private academic and educational institutions and the society with affordable policies.

This study proposes a new, innovative framework summarising the balance between AI and academic integrity.

While data breaches are reported daily, organizations are struggling with quantifying their cybersecurity posture. This paper aims to introduce the Universal Cybersecurity Footprint Index (UCFI), an organizational measure of Cybersecurity Footprint. The UCFI helps organizations understand the challenges related to their overall cybersecurity posture and be able to assess it for their supply chain cybersecurity. The Theory of Cybersecurity Footprint states that the risk and damage that can be caused by an attacked organization are not related to the size of the organization but to a range of parameters that may affect the interconnected entities in their supply chain.

Based on the 26 elements found in prior research, a survey was conducted, using 27 subject matter experts to reveal the most relevant elements and then specify their importance level to calculate their relative weight.

Results indicated that 20 of the 26 elements were validated, and their weights were calculated. Finally, an equation representing the UCFI for an organization is introduced.

Organizations can choose their partners according to a minimum value of the UCFI to reduce their cybersecurity risks.

Supply chain cybersecurity incidents have demonstrated in the past several years to provide a massive impact on society. Thus, further assisting in mitigation of cyberattacks to the supply chain is significant.

This research aims to provide further assistance for organizations in quantifying their cybersecurity footprint in effort to help reduce cyber incidents, especially those for small organizations.

This study examines how compliance with government and firm's own policy and reverse logistics practices relate with firm environmental performance.

This study draws on insights from stakeholder theory, and follows a two-phase research approach. The first phase utilized an extended literature review that seeks to provide a qualitative and comprehensive understanding of the research problem. The 2001–2023 data was collected from the Web of Science and Scopus databases, complemented with Google Scholar. The second phase involved an empirical study—adopting a quantitative cross-sectional survey design with a self-administered questionnaire to validate the theoretical conceptualizations deriving from the literature review. The empirical data were collected from 203 food and beverages manufacturing firms in Uganda and analysed using the partial least squares structural equation modelling (PLS-SEM) approach.

The study findings suggest that compliance with government policy positively influences firm environmental performance, both directly, and indirectly through fostering reverse logistics practices, and that the relationship between compliance with government policy and reverse logistics practices is contingent upon compliance with the focal firm's own policy.

The study findings will enhance the theoretical and conceptual development of the ideas that underpin stakeholder theory and applications. The Ugandan government will come up with better mechanisms for enforcing compliance with policy regulating the application of reverse logistics practices. In addition, the study advances the use of multi-method approaches in investigating interesting research aspects requiring in-depth examination. However, considering the fact that the empirical study was conducted in a single country context, and focused on firms more or less from the same sub-sector, the findings of the study might not be generalizable globally.

This study provides useful insights to logistics and supply chain managers involved in reverse logistics activities in food and beverages manufacturing firms. These managers can know how to leverage reverse logistics practices to enhance environmental performance of firms amidst environmental policies in the industry where they operate.

This study contributes to the built body of knowledge in operations, logistics and supply chain management literature; understanding about reverse logistics practices as a mechanism through which compliance with government policy influences environmental performance of firms. The interaction between compliance with government policy and compliance with firm policy is essential in explaining the performance effects of reverse logistics practices. In addition, the study advances the use of multi-method approaches in investigating interesting research aspects requiring in-depth examination. Complementing extended literature review with and empirical research to investigate reverse logistics practices influences on firm environmental performance, and incorporating the role of policy in explaining this relationship should make considerable contribution. Besides, the study highlights important areas for future research.

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 aim of this study was to examine the moderating roles of the legitimate power and distributive justice of the tax authority on the effect of procedural justice on the voluntary tax compliance of taxpayers in Addis Ababa, the capital of Ethiopia, by using survey data collected from taxpayers in the city.

Data for the study were collected from 800 sample taxpayers who were drawn by using a systematic sampling technique. The variables of the study were constructed as indices from composing the scale items developed and tested for their validity by prior researchers. Having collected the data by using a 7-point Likert scale questionnaire and forming the latent variables, hierarchical multiple regressions were applied to determine the moderating effects of the two variables (i.e. legitimate power and distributive justice) on the effect of procedural justice on voluntary tax compliance.

The author found that both the legitimate power of the tax authority and distributive justice of the authority moderate the effect of procedural justice on voluntary tax compliance. The moderating roles of the two variables appear to be opposite in that low (but not high) distributive justice and high (but not low) legitimate power of the tax authority stimulate the effect of procedural justice on voluntary tax compliance.

The first limitation is that the data used in this study are self-reported data while the subject of the study is sensitive subject about which respondents are not believed to provide genuine responses. This is presumably because taxpayers are less likely to confess their tax evasion as they fear legal actions following their self-report. Hence, other controlled methods such as the experimental design are recommended to replicate the results of this study. The second limitation is that data for the study were gathered through a one-time cross-sectional survey and hence it would not warrant a causal claim between the study variables. Consequently, other research with a longitudinal or experimental design might warrant a causal relationship between the variables.

Therefore, the tax authorities must endeavor to attain high legitimacy by doing “the right things” as perceived by the taxpayers so that their tax-related decisions gain acceptance from the decision recipients. Tax policy makers as well ought to consider the importance of and the relationship between procedural justice, distributive justice and legitimate power of the tax authority in order to attain the maximum possible voluntary compliance of taxpayers that significantly reduces the administrative cost of taxes.

The study benefits society by enhancing tax compliance and hence helping the government secure a better amount of tax revenue and provide better public goods and services.

The findings of this study are of high theoretical and policy significance. Theoretically, the findings contribute to the integrative literature on economic deterrence and social-psychological factors that are responsible for voluntary tax compliance decisions. The parallel moderating roles of the two variables on the relationship between procedural justice and voluntary cooperation in a single model and in the tax compliance context are novel. In terms of applicability to policy formulations, they shed light on the need for a shift from a pure focus on aggressive tax audits and penalties, especially in emerging economies to a combination of the tax audits and the nurturing of the voluntary deference of taxpayers to the tax authority's decisions. Caution must, however, be taken that the results of this study may not be applicable to tax environments in other countries.

The purpose of this paper is to illustrate threefold how hawala banking poses a problem for Swiss banks implementing anti-money laundering (AML) and anti-terrorist financing (ATF) policies as a fulfilment of Switzerland’s UN commitment.

The first author interviewed compliance officers and suspected criminals on hawala banking mechanisms. The authors formally recorded interviews with compliance officers, but interviews with suspected criminals were not recorded to maximize their potential forthrightness. In total, the authors conducted 70 formal interviews and developed a questionnaire based on this, which was sent to 200 compliance officers. The authors subjected the interviews to qualitative analysis and developed a system of categories that the authors assessed by means of triangulation. By substantiating proposed theoretical challenges with empirical findings, future recommendations for regulatory procedures are based on analytical evidence.

This study finds that hawala presents significant challenges for AML and ATF policies. Whilst it is possible to mediate the first two challenges laid out herein, it is the third hurdle that proves insurmountable. Ultimately, tolerating hawala banking passively counteracts any active effort made by implementing AML and ATF policies.

Whilst the existing literature sufficiently connects hawala banking to terrorist financing, this study details how existing compliance measures are circumvented and the implications on the perceived commitment of Switzerland against financial crime.

This study aims to investigate the relationship between trust in government, value added tax (VAT) compliance costs and VAT compliance in the Jordanian retail industry context.

The study makes use of an online questionnaire survey to collect the required data, and the research model is eventually validated based on 189 responses gathered from the retail industry in Jordan. The obtained data was analyzed using partial least squares-structural equation modeling to examine the effects of trust in government and costs of VAT compliance on VAT compliance.

The results showed that VAT compliance costs have no significant influence on VAT compliance; while trust in government was found statistically positive significant with VAT compliance.

This study’s results are expected to have implications for VAT authorities and policymakers in Arab countries, like Jordan in their policies formulation to enhance VAT compliance in retail industry. The study’s findings are alerting the policymakers for the positive noneconomic consequences of VAT compliance. It provides evidence that trust in government can increase VAT compliance.

The results of the research have a plentiful of social implications. Higher VAT compliance will enable higher levels of government spending on a many of social targets such as health, education, welfare programs and infrastructure.

While the study builds on recent research examining how to incentivize VAT compliance, it simultaneously seeks to make three contributions. First, the study design aims to apply recent advances in behavioral sciences (impact of trust in government and VAT compliance costs) in a policy area that has not seen much use of such interventions in the Jordanian context (i.e. VAT compliance). Second, the study is government procedures pertinent in the sense that it aims to increase the effectiveness of existing government policies by complementing them with behavioral primes. Third, there is nearly no literature found applying this topic in a developing country such as Jordan. To the best of the author’s knowledge, this is the first study that examines the trust in government and VAT compliance costs on VAT compliance among Jordanian retail industry. Thus, this paper contributes to mitigating the literature gap by providing empirical evidence concerning the influence of trust in government and VAT compliance costs on the retail industry VAT compliance in the Jordanian context.