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.
Button et al. (Wed,) studied this question.