Centro de Documentação da PJ
Analítico de Periódico
CD 368
Innovative business modelling for understanding criminal networks and illicit markets [Recurso eletrónico] / Ana Isabel Barros ..[et al.]
European Law Enforcement Research Bulletin, Luxembourg, Special conference (Edition n. 7, 2026), p. 279-295
Edição especial da conferência n.º 7 da “CEPOL R&S Conference 2024/2025”, subordinada ao tema “Tackling the World of High-Risk Criminal Networks (HRCN)", que teve lugar em Ostia (Roma), nos dias 25 a 27 de março de 2025.
TRÁFICO DE DROGA, ANÁLISE CRIMINAL, MODUS OPERANDI, REDE CRIMINOSA
Financial incentives serve as a primary motivator and enabler for organisations to engage in illicit activities, like drug trafficking. Such illicit activities often involve coercion and the use of violence. Drug trafficking, recognised as one of the most profitable criminal enterprises, also demonstrates extreme resilience and adaptability in the face of law enforcement interventions. Nonetheless, most law enforcement efforts focus primarily on disrupting the underlying logistics process and the associated criminal network. To better capture the complexity and underlying dynamics of criminal organisations, insight is needed into the relationship between the criminal value chain (financial, logistical and social) and the impact of interventions over time. In this paper we illustrate how a computational system approach based on criminal business modelling can be used to create insight on the resilience of illicit markets. The explorative computational approach simulates how criminal organisations may adapt to different intervention strategies grounded in their underlying criminal business models. Its purpose is to stimulate critical reflection and support the development of more innovative and effective interventions.
