Search results

The purpose of the study is to show that divergent perceptions among regulators, the regulated and the associated regulatory bodies across multiple jurisdictions regarding the nature and functionality of cryptocurrencies hamper the development of a more comprehensive and coherent regulatory framework in curbing crimes and other related risks associated with cryptocurrencies.

The study has used a descriptive doctrinal legal research method to investigate and understand the insights of existing laws and regulations in four selected jurisdictions concerning cryptocurrencies and how these laws could be further improved and developed to reduce crypto-related crimes. Furthermore, the study has also used a comparative research method to conceptualize the contours of the new legal discourse emerging from cryptocurrencies to adopt and implement a sound regulatory framework.

The study illustrated that divergent regulatory treatment among different jurisdictions might suffocate novel digital innovations such as cryptocurrency. These fragmented regulatory approaches by various jurisdictions question the sustainability of the present national legislation adopted to regulate cryptocurrencies. Looking into other jurisdictional developments in regulating cryptocurrencies, it is apparent that a concerted regulatory approach is needed to minimize the abuse of this innovation.

The study has implications for regulators and policymakers to review the current regulatory framework for regulating cryptocurrencies to prevent regulatory arbitrage. The divergent legislative measures concerning cryptocurrency among different jurisdictions question the sustainability of these legislative initiatives, considering the evolving and borderless nature of cryptocurrency. Therefore, this paper will help regulators to consider the present legislative gaps in establishing a common global regulatory approach in the crypto sphere.

The study contributes to the existing body of literature by examining the regulatory frameworks of four jurisdictions, namely, the USA, Canada, China and the EU, related to cryptocurrencies, with a discussion on the development of cryptocurrencies-related laws among these four jurisdictions and their sustainability in curbing crimes in the Darknet.

The European Union’s Whistleblower Directive (WBD), or formally the “Directive (EU) 2019/1937 of the European Parliament and of the Council of 23 October 2019 on the protection of persons reporting infringements of Union law” seeks to establish a uniform standard for whistleblowing protection across member state jurisdictions. Considering the international reach of the directive, it inevitably confronts divergent national attitudes towards whistleblowing. This paper aims to examine various cultural attitudes which have contributed to the common understanding of whistleblowing, under the directive.

The rhetoric on whistleblowing from a combination of business and national cultures is examined herein. A focus is cast on the information technology sector, which has traditionally protected trade secrecy over whistleblowing, under the guise of protecting of innovation. Moreover, the juxtaposition of American and German employment culture is testimony to the discrepancy in national narratives.

The WBD is both a symptom and a yardstick of modern employment culture in Europe. There are crucial clashes with trade secrecy which the directive has not resolved as well as an acknowledgement of the paradigm of legal thought which the directive pushes.

By reference to both business and national culture, this paper highlights the heterogenous conception of whistleblowing which the directive aims to reconcile. Whilst a vast amount of literature has covered isolated criticism of the WBD, a wider lens has not been cast to consider the pervasive influence of specific aspects on business culture.

Employment discrimination persists across global labour markets inflicting considerable social and economic costs. The existing literature tends to focus on explaining and measuring discrimination or on the measures to tackle it, overlooking the links between these areas. The paper contributes to filling this gap in order to inform policy design and empirical research on the impact of anti-discrimination policies.

The paper assesses the potential effectiveness of commonly used policy measures in tackling the types of discrimination described in the theoretical literature. The assessment is based on the underlying incentive structure of particular policies, which is matched with the behaviour of employers predicted by particular theories.

The potential effectiveness of commonly used anti-discrimination policies varies greatly depending on the source of discrimination and the target group. Some commonly used tools, such as wage subsidies are likely to have modest effects for several target groups, while employer counselling may be a more effective and cheaper alternative in many cases. Quotas may be effective against various types of discrimination, but setting them is challenging and they may yield adverse effects.

The findings call for more research on and consideration of the motives behind employment discrimination in the targeting and design of anti-discrimination measures.

The authors propose a framework to link discrimination types with measures against discrimination and potential target groups, which allows for systematically linking the literature on theories of discrimination and research on anti-discrimination.

This paper aims to identify, synthesise and critically examine the extant academic research on the relation between big data analytics (BDA), corporate accountability and non-financial disclosure (NFD) across several disciplines.

This paper uses a structured literature review methodology and applies “insight-critique-transformative redefinition” framework to interpret the findings, develop critique and formulate future research directions.

This paper identifies and critically examines 12 research themes across four macro categories. The insights presented in this paper indicate that the nature of the relationship between BDA and accountability depends on whether an organisation considers BDA as a value creation instrument or as a revenue generation source. This paper discusses how NFD can effectively increase corporate accountability for ethical, social and environmental consequences of BDA.

This paper presents the results of a structured literature review exploring the state-of-the-art of academic research on the relation between BDA, NFD and corporate accountability. This paper uses a systematic approach, to provide an exhaustive analysis of the phenomenon with rigorous and reproducible research criteria. This paper also presents a series of actionable insights of how corporate accountability for the use of big data and algorithmic decision-making can be enhanced.

This paper discusses how NFD can reduce negative social and environmental impact stemming from the corporate use of BDA.

To the best of the authors’ knowledge, this paper is the first one to provide a comprehensive synthesis of academic literature, identify research gaps and outline a prospective research agenda on the implications of big data technologies for NFD and corporate accountability along social, environmental and ethical dimensions.

Over the past two decades, the topics of Environmental, Social and Corporate Governance (ESG) and Corporate Social Responsibility (CSR) have attracted an increasing amount of interest, reflecting a growing sensitivity of investors and corporations towards environmental, social and governance issues.

This survey offers an overview of the academic literature on ESG/CSR through the lens of investors, institutions and firms. We first discuss the definitions of ESG and CSR and their relationship to each other.

We next describe how ESG is measured and note problems with the measurement of and quality of ESG data and discrepancies between different measures of ESG. We then turn our attention to investors, examining what types of investors invest in ESG and the role of institutional investors in ESG. From the firm's perspective, we discuss why firms themselves conduct ESG. We also summarize the literature on the impact of ESG on firms: how ESG affects firms' financing, disclosure and reporting activities and firm performance. Finally, we describe other consequences of the focus of ESG and CSR on firms and investors.

This survey offers an overview of the academic literature on ESG/CSR through the lens of investors, institutions and firms.

The purpose of this study is to develop a method to assess social performance. Traditionally, environment, social and governance (ESG) rating providers use subjectively weighted arithmetic averages to combine a set of social performance (SP) indicators into one single rating. To overcome this problem, this study investigates the preconditions for a new methodology for rating the SP component of the ESG by applying machine learning (ML) and artificial intelligence (AI) anchored to social controversies.

This study proposes the use of a data-driven rating methodology that derives the relative importance of SP features from their contribution to the prediction of social controversies. The authors use the proposed methodology to solve the weighting problem with overall ESG ratings and further investigate whether prediction is possible.

The authors find that ML models are able to predict controversies with high predictive performance and validity. The findings indicate that the weighting problem with the ESG ratings can be addressed with a data-driven approach. The decisive prerequisite, however, for the proposed rating methodology is that social controversies are predicted by a broad set of SP indicators. The results also suggest that predictively valid ratings can be developed with this ML-based AI method.

This study offers practical solutions to ESG rating problems that have implications for investors, ESG raters and socially responsible investments.

The proposed ML-based AI method can help to achieve better ESG ratings, which will in turn help to improve SP, which has implications for organizations and societies through sustainable development.

To the best of the authors’ knowledge, this research is one of the first studies that offers a unique method to address the ESG rating problem and improve sustainability by focusing on SP indicators.

This study aims to determine the performance of the Pakistani financial intelligence unit in combating money laundering/terrorist financing in local and global contexts.

The study used a qualitative research design. The objective is achieved by critically examining the Anti-money Laundering Act and its relevant clauses concerning the financial monitoring unit and other related legislation. Further, empirical data was collected through semi-structured interviews with chief compliance officers from regulated entities, regulators and premier law enforcer.

The performance of the financial monitoring unit has severe issues concerning the dissemination of financial intelligence due to its time taking behaviour, non-sharing of feedback with reporting agencies, dearth of international cooperation, lack of trained and relevant personnel and financial constraints.

To the best of the authors’ knowledge, this is a maiden study concerning financial monitoring unit in Pakistan.

This study aims to examine the roles of organisational control, structure, culture and technology in preventing occupational fraud. This study is essential in the current time. It brings a significant impact on both theory and practice. In the existing studies, there is a lack of clarity on a specific mechanism to prevent organisational fraud. The problem is that they tend to generalise the types of organisational fraud. Conceptually, organisational fraud may include corruption, double funding, asset misappropriation, bribery or falsification of documents. However, many scholars tend to neglect such diversities. Consequently, many occupational fraud cases become unstoppable, particularly corruption. To deal with this topical issue, the current study applies the term “occupational fraud” cited by the Association of Certified Fraud Examiners, consisting of corruption, asset misappropriation and fraudulent financial statement.

This study surveyed three Indonesian Local Governments. This study focussed on management levels that have strong power for coordinating governmental activities. The author chose these local governments because their local leaders (the regents) were jailed due to corruption scandals. As expected, this study gives us different perceptions of how fraud mitigation should be designed in the organisation.

The results suggest that corruption is a little bit complex than other types of occupational fraud. It is improbable to be prevented through technological and administrative approaches. As such, organisations need to think of extra efforts that could perfectly tailor the organisational control and organisational culture, organisational structure and technological advancement. The benefit of this effort is related to diagnosing the fit or misfit of organisation designs in addressing the dynamic dimensions of corporate governance. Then, it can also strengthen the efficacy of preventive measures to deal with occupational fraud.

This study provides a provocative discussion regarding the public perception of occupational fraud, consisting of corruption, asset misappropriation and financial statement fraud. And this study also offers a new refined conceptual analysis of how to deal with such types of occupational fraud by incorporating contingency theory and the Committee of Sponsoring Organizations of the Treadway Commission (COSO’s) internal control components.