RT Article
T1 Opportunistic Organization of Illicit Supply Chains
JF Journal of quantitative criminology
VO 41
IS 4
SP 623
OP 646
A1 van der Zwet, Koen
A1 Barros, Ana Isabel Martins Botto de
A1 van Engers, Tom M.
A1 Sloot, Peter 1956-
A2 Barros, Ana Isabel Martins Botto de
A2 van Engers, Tom M.
A2 Sloot, Peter 1956-
LA English
YR 2025
UL https://krimdok.uni-tuebingen.de/Record/1942594100
AB ObjectiveThis article aims to propose and utilize an agent-based model to understand how opportunistic behavior in criminal groups contributes to the adaptive capacity of illicit supply chains. These efforts aim to better understand empirical studies, such as drug trafficking networks, that exhibit patterns of resilience and replacement after enforcement actions.MethodsStrategic decisions are modeled dyadic and group contexts using an agent-based approach. To differentiate social relationships, transactions, and activities. Various simulations with different parameters were conducted to analyze the structural, functional, and temporal dependencies of the network.ResultsSimulation results point group interactions significantly boost the adaptive capacity of illicit supply chains only when interaction frequency is high, whereas dyadic interactions are more effective for decentralized optimization. Risk-tolerant agents enhance network effectiveness, and low-visibility brokers are crucial for resilience. Lead-based interventions targeting connections of removed agents are more disruptive in low-interaction order networks, while random interventions are less effective in highly connected networks.ConclusionThe emergence of low-visibility brokers urges to better understand the behavior of the illicit organization before deploying specific law enforcement interventions. Simulation offers further insight in how to consider both structural properties and temporal dynamics when designing effective intervention strategies.
K1 Criminal networks
K1 Game Theory
K1 Illicit supply chains
K1 Organised Crime
K1 Simulation
DO 10.1007/s10940-025-09613-x