Evolutionary fraud, the global scamming ecosystem and a typology of actors

This study examines the adaptive nature of the global scamming ecosystem, focusing on developing a novel typology based on the size and organizational structure of scam operations. Through a combination of qualitative and case study analysis, the research categorizes scammers into five distinct groups, namely, “Demons,” “Gorgons,” “Ogres,” “Behemoths,” and “Mega Behemoths,” ranging from lone actors to large-scale enterprises with intricate hierarchies and international reach. The findings highlight how organizational size, specialisation, and corrupt actors' involvement contribute to scam operations' effectiveness and resilience. Findings also illustrate the adaptive processes observed in legitimate business practices, including role specialisation and hierarchical organization strategic planning. The paper also notes the evolutionary processes creating more effective scams and means of delivering them. The study provides a foundational understanding of these dynamics, offering a framework for targeted, flexible strategies and robust international cooperation. Findings also highlight the importance of continued interdisciplinary collaboration to address these evolving threats.

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Publication Details

Journal
International journal of law, crime and justice
Published
2026-02-25
DOI
https://doi.org/10.1016/j.ijlcj.2026.100825
Citations
1
Primary Topic
Wildlife Conservation and Criminology Analyses
Type
article
Field-Weighted Citation Impact
42.99

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article

Evolutionary fraud, the global scamming ecosystem and a typology of actors

Branislav Hock, Mark Button, Paul Gilmour, Durgesh Pandey et al.
1 citations
International journal of law, crime and justice
Wildlife Conservation and Criminology Analyses
42.99
article

Evolutionary fraud, the global scamming ecosystem and a typology of actors

Branislav Hock, Mark Button, Paul Gilmour, Durgesh Pandey, James Bugbilla Sabia, Suleman Lazarus
article en
1 citations

Abstract

This study examines the adaptive nature of the global scamming ecosystem, focusing on developing a novel typology based on the size and organizational structure of scam operations. Through a combination of qualitative and case study analysis, the research categorizes scammers into five distinct groups, namely, “Demons,” “Gorgons,” “Ogres,” “Behemoths,” and “Mega Behemoths,” ranging from lone actors to large-scale enterprises with intricate hierarchies and international reach. The findings highlight how organizational size, specialisation, and corrupt actors' involvement contribute to scam operations' effectiveness and resilience. Findings also illustrate the adaptive processes observed in legitimate business practices, including role specialisation and hierarchical organization strategic planning. The paper also notes the evolutionary processes creating more effective scams and means of delivering them. The study provides a foundational understanding of these dynamics, offering a framework for targeted, flexible strategies and robust international cooperation. Findings also highlight the importance of continued interdisciplinary collaboration to address these evolving threats.

International journal of law, crime and justiceVol. 84
Gujarat University (IN), Ghana Armed Forces Command and Staff College (GH), University of Portsmouth (GB), University of the Western Cape (ZA), London School of Economics and Political Science (GB)
Government of the United Kingdom
Openalex Percentile: Top 1%
Wildlife Conservation and Criminology Analyses
42.99
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