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Assessing the Effectiveness of Compliance Programs Through the Use of the Metaverse and Blockchain

Bibliographic Data

ID12970286
AuthorsNikos Passas (Northeastern University, corresponding author), Fabio Coppola (University of Salerno)
Year2025
Volume14
Pages90-105
Publication date2025-04-25
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Criminology and Sociology (JOURNAL)
Journal identifiersISSN: 1929-4409 • E-ISSN: 1929-4409
PublisherLifescience Global (PUBLISHER • CA)
DOI10.6000/1929-4409.2025.14.09
OpenAlexW4409822839
LanguageEN
Citations received1
References cited14

This paper examines how blockchain technology and the Metaverse can address persistent challenges in corporate compliance, with a focus on mitigating criminogenic asymmetries—such as regulatory arbitrage and opacity in cross-border transactions—through decentralized, transparent solutions. By contrasting the U.S. and Italian legal frameworks, we highlight the limitations of retrospective compliance evaluations and propose blockchain-enabled innovations, including immutable audit trails, smart contracts for automated enforcement, and Decentralized Autonomous Organizations (DAOs) to decentralize governance and embed compliance into protocol design. The Metaverse offers a simulated environment for stress-testing compliance protocols against emerging risks, while criminological theories (e.g., global anomie, legal-illegal interfaces) contextualize regulatory gaps in digital economies. We argue that DAOs, as digital-native entities, could revolutionize compliance by replacing hierarchical oversight with algorithmic governance, though challenges like jurisdictional fragmentation and identity verification persist. The study underscores the need for adaptive regulatory frameworks to harness these technologies while balancing transparency, accountability, and privacy

Blockchain · Compliance (psychology · Computer security · Human–computer interaction · Metaverse · Blockchain Technology Applications and Security · Computer Science · Impact of AI and Big Data on Business and Society · Psychology · Social Psychology

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Unique citing works1
Citations per year1
Citation span2025 - 2025 (1)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 1

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