This study explores the intersection between cryptocurrencies and criminal organizations through a systematic literature review. By examining peer-reviewed academic publications, the research identifies the mechanisms by which criminal groups leverage digital currencies for illicit activities such as money laundering, fraud, and extortion. A structured PRISMA-based methodology was adopted, employing well-defined inclusion, and exclusion criteria to ensure transparency and replicability. The study reveals critical trends in the misuse of cryptocurrencies, the technological challenges faced by regulators, and the limitations of current enforcement frameworks. The originality of this research lies in synthesizing existing academic insights while identifying key gaps in the literature. The findings highlight the urgent need for tailored regulatory responses and greater cross-border cooperation, contributing to both academic understanding and policymaking. The practical implications include recommendations for policy adaptation and future research pathways to mitigate cryptocurrency-enabled criminal behavior.

This study aims to understand, through explanatory research, the key factors that led to the 2017 measles outbreak in Italy, the causes of the low level of immunisation and the causes of possible cyclical phenomena of measles epidemics. This topic's comprehension has required a holistic approach, merging epidemiological aspects, socioeconomic aspects (including the evolution of mistrust in vaccinations, infodemy and fake news) and health law constraints. A specific SIR system dynamics (SD) model was built to reproduce the relevant cause-and-effect relationships between social interactions, the public institutions' behaviour and the measles outbreaks. SD results permit the assessment of the health policies to counteract the measles outbreaks. Findings, limits and further research recommendations are briefly reported in the conclusions.

This study evaluates the managerial sustainability of implementing a decision support system for industrial symbiosis through a recent business modeling methodology. The decision support system is intended to facilitate the identification of implementable industrial symbiosis good practices in a pilot project located in the industrial retro-port area of Trieste. To evaluate the feasibility of this project, a qualitative “Dynamic business model canvas for sustainability” was designed and supported by a system dynamics approach using causal loop diagrams. The study analyzed various governance scenarios for managing the decision support system (public, private, or public–private partnership) and the financing system. The analysis concludes by discussing the research limitations of this study and future opportunities, emphasizing the importance of a resilient system that can handle operational and regulatory shocks, given the project’s public relevance. Further study opportunities could be provided through quantitative simulations and potential numerical validations with stakeholders in the local area, considering potential regulatory constraints.

The production of hazelnuts represents an important resource for several Italian rural areas. Sicily and Piedmont, two of the most important producers of hazelnuts, are affected by the presence of the dormouse (

Organized crime (OC) can influence firms through coercion, collusion, financial ties, and supply‐chain relationships, yet these interactions remain underexamined in stakeholder theory. This article conceptualizes organized crime as an analytically relevant but non‐normatively legitimate stakeholder and develops a risk‐based framework combining stakeholder salience, interface channel, interest level, and influence strategy. The framework specifies when OC is likely to command managerial attention and which configurations are expected to pose the greatest risks of value destruction and escalation. Three illustrative Italian cases involving preventive anti‐mafia measures show variation from latent relational exposure, through indirect supply‐chain contamination, to embedded ownership and financial control. By linking these configurations to graduated governance responses, the framework helps managers and regulators calibrate proportionate, revisable, and auditable interventions. It extends stakeholder theory to adversarial actors while clarifying institutional conditions that shape the credibility of prevention and remediation.

Add AI limitations_ "When combined with the Internet of Things (IoT), AI has the potential to surpass human limitations and errors in troubleshooting and decision-making across different industries (Kutyauripo, Rushambwa, & Chiwazi, 2023). AI can be...