Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

James Bugbilla Sabia

Biographic Data

ID6816428
NAMEJames Bugbilla Sabia
GIVEN NAMESJames Bugbilla
FAMILY NAMESabia
SIGNATURESABIA J B
AFFILIATIONSGhana Armed Forces Command and Staff College
ORCID0000-0003-2857-1705
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS1
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2025
LATEST PUBLICATION YEAR2026
H-INDEX1
  • Evolutionary fraud, the global scamming ecosystem and a typology of actors

    Open Access•Mark Button, Suleman Lazaru et al.•ARTICLE•International journal of law,…•2026•Cited by: 1•References: 8

    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 hierar…

  • Nigerian confraternities and mass cross-border fraud

    Open Access•Mark Button, Suleman Lazaru et al.•ARTICLE•Trends in Organized Crime•2025

    Nigeria is well-known for its significant problem with criminal actors who commit industrial-scale online fraud and related crimes, predominantly targeting foreign nationals and businesses. However, the structures and characteristics of those involved remain less understood. A key area of debate concerns the degree of organization among these perpetrators and their affiliation with organized crime groups. A specific focus of this debate is the in…

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

    Open Access•Mark Button, Suleman Lazaru et al.•ARTICLE•International journal of law,…•2026•Cited by: 1•References: 8

    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 hierar…

  • Nigerian confraternities and mass cross-border fraud

    Open Access•Mark Button, Suleman Lazaru et al.•ARTICLE•Trends in Organized Crime•2025

    Nigeria is well-known for its significant problem with criminal actors who commit industrial-scale online fraud and related crimes, predominantly targeting foreign nationals and businesses. However, the structures and characteristics of those involved remain less understood. A key area of debate concerns the degree of organization among these perpetrators and their affiliation with organized crime groups. A specific focus of this debate is the in…

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

    Open Access•Mark Button, Suleman Lazaru et al.•ARTICLE•International journal of law,…•2026•Cited by: 1•References: 8

    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 hierar…

Cybercrime and Law Enforcement Studies (2 works) · Adaptation (eye (1 work) · Commit (1 work) · Complex adaptive system (1 work) · Corruption and Economic Development (1 work) · Crime, Illicit Activities, and Governance (1 work) · Evolutionary theory (1 work) · False accusation (1 work) · International business (1 work) · Law, AI, and Intellectual Property (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae