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This paper aims to investigate how implementing lean six sigma and Industry 4.0 (LSSI4.0) can influence a company’s financial performance and discusses the current trend involving LSSI4.0 in China.

For statistical analysis, financial data was sourced from the China Stock Market and Accounting Research database. Keywords used to assess the implementation status of LSSI4.0 were extracted from the 2007 to 2020 annual reports of A-share manufacturing companies. Regression analysis was applied to the quantitative analyses of 5,041 observational data points from 945A-share manufacturing companies in China.

LSSI4.0 implementation in the manufacturing industry boosts the firms’ financial performance. However, the former outperforms the latter in terms of long-term advantages. Meanwhile, incorporating lean six sigma (LSS) into Industry 4.0 (I4.0) can lead to long-term improved financial performance compared to solely implementing the I4.0.

The findings possess limited international representativeness because all empirical data were derived from Chinese large manufacturing companies. In addition to return on assets and return on equity, financial performance can also be measured using other financial metrics, such as return on investment. In this study, only listed manufacturing companies were considered as research samples.

Top management must acknowledge the positive impact of LSSI4.0 on financial performance and prioritize implementing I4.0 based on LSS implementation.

Empirical results concerning the effectiveness of LSS implementation in enhancing financial performance are inconclusive, particularly in China. In addition, most studies collected data through surveys and interviews, so the representativeness of their outcomes is limited. Overall, this study evaluated the impact of LSSI4.0 implementation with large sample size.

This study aims to investigate the impact of remittance costs on trade-based money laundering (TBML) and provide insights into the relationship between remittance costs and TBML, particularly focusing on import over-invoicing and low-income trade partners.

Utilizing an extended gravity model for TBML, bilateral data from Vietnam spanning 2011 to 2019 are analyzed to examine the correlation between remittance costs and TBML.

The study reveals a positive association between remittance costs and TBML, highlighting the significance of reducing remittance costs to curb TBML.

The research is limited by the availability of data and focuses solely on Vietnam, implying potential variations in other contexts.

Policymakers should consider reducing remittance costs as a strategy to combat TBML effectively.

Lowering remittance costs could contribute to the prevention of illicit financial activities, fostering economic stability and social development.

This study provides novel insights into the relationship between remittance costs and TBML, offering valuable implications for policy formulation and anti-money laundering (ML) efforts.

This chapter aims to trace how the theoretical frameworks of actuarialism and managerialism have been slowly introduced into the Latin–American scientific debate, focusing on the Argentinian and Chilean examples. With this objective in mind, we explore the journey of these theories in our region focusing on the work. Additionally, we address other academic contributions that highlight “actuarial techniques” of risk as central features to analyze contemporary penalty, policing tactics, or criminal court outcomes and practices (Hannah-Moffat, 2013a, 2013b; Harcourt, 2007; Marutto & Hannah-Moffat, 2006), even overlapping concepts like actuarialism and managerialism (Barker, 2009; Kohler-Hausmann, 2018). Subsequently, we describe the acclimation of these theories in Argentina and Chile, characterized for a limited impact on the scientific debate. We suggest that the main reason for this little impact is the different stages of the criminal justice system between Global North and Global South countries. While in the first one, actuarialism and managerialism were born to explain especially the field of risk analysis, and secondarily, the role of the new public management; in the case of Latin America, managerialism has been observed through the criminal justice system reform developed in the last three decades. This observation has focused especially on some organizational transformations and, for this reason, the analysis about actuarialism and risk assessment have been marginals. We concluded that although the influence of the literature about actuarialism and managerialism from the Global North in Latin–American is real, it is not possible to extrapolate all its elements to the penal systems in the region.

This systematic literature review (SLR) aims to critically analyze the current academic research on the adoption of artificial intelligence (AI) in supply chain management (SCM) and develop a theoretical framework and future research agenda.

Through a comprehensive review of 68 relevant papers, this study synthesizes the findings to identify key themes based on extended technology-organization-environment (TOE) theory.

This study analyzes AI integration in SCM based on the TOE framework, identifying drivers (technological, organizational, environmental and human), barriers (technical, organizational, economic and human) and outcomes (operational, environmental, social and economic) of AI adoption. It emphasizes AI's potential in improving SCM practices like resilience, process improvement and sustainable operations, contributing to better decision-making, efficiency and sustainable practices. The study also provided a novel framework that offers insights for strategic AI integration in SCM, aiding policymakers and managers in understanding and leveraging AI's multifaceted impact.

The originality of the study lies in the development of a theoretical framework that not only elucidates the drivers and barriers of AI in SCM but also maps the operational, financial, environmental and social outcomes of AI-enabled practices. This framework serves as a novel tool for policymakers and managers, offering specific, actionable insights for the strategic integration of AI in supply chains (SCs). Furthermore, the study's value is underscored by its potential to guide policy formulation and managerial decision-making, with a focus on optimizing SC efficiency, sustainability and resilience through AI adoption.

This study aims to focus on the legal status of the Financial Action Task Force (FATF) regulatory spread in spite of its limited membership in international law. This is conducted by examining the regime of the FATF with the normative regime of public international law and trying to identify common grounds and conflicts between the two.

This study adopted an exploratory approach involving a thorough examination and analysis of accredited text, command papers and reports, archival materials, national obligations, websites as well as other documentary evidence.

This research gives an empirical determinant of compliance behaviour in response to FATF regulatory standards and the interplay of international law.

The findings here are not exhaustive and could be approached from other perspectives. Researchers are therefore encouraged to engage by testing the findings further, as this is only a blueprint for further research.

This study provides implications for the need to open up the current membership of the FATF, as it appears discriminatory in nature and could inhibit effective compliance with its regulatory standards.

FATF regulatory standards do not just revolve around its members and rule-takers but also affect unintended and vulnerable people who were never in contemplation when these regulations were debated without a global consensus.

The main aim of this study is to advocate for a rethink of FATF’s regulatory strategy by ensuring that its operations are more inclusive, where jurisdictions can participate as members, creating a sense of belonging and commitment in the fight against money laundering.