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

Mark Button*, Suleman Lazarus, Branislav Hock, Paul Gilmour, Durgesh Surendra Pandey, James Sabia

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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.
Original languageEnglish
Article number100825
Number of pages15
JournalInternational Journal of Law, Crime and Justice
Volume214
Issue number85
Early online date24 Feb 2025
DOIs
Publication statusPublished - 1 May 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 15 - Life on Land
    SDG 15 Life on Land
  2. SDG 16 - Peace, Justice and Strong Institutions
    SDG 16 Peace, Justice and Strong Institutions
  3. SDG 17 - Partnerships for the Goals
    SDG 17 Partnerships for the Goals

Keywords

  • Geography of crime
  • Scamming ecosystem
  • Cybercrime typology
  • Transnational organized crime
  • Fraud typology
  • Scamvolution
  • Cyber criminology

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