Metaverse financial transactions dataset: a comprehensive analysis
Alimul Haque (),
Deepa Sonal () and
Kiran Dubey ()
Edu - Tech Enterprise, 2024, vol. 2, 14
Abstract:
Introduction; The rapid evolution of the Metaverse—a convergence of immersive technologies including augmented reality (AR), virtual reality (VR), and blockchain—has created a dynamic ecosystem for digital commerce. Objective; This study presents a comprehensive analysis of financial transactions within leading Metaverse platforms such as Decentraland, The Sandbox, and Axie Infinity, examining evolving economic behaviors, payment mechanisms, and associated risks. Method; We develop a structured transactional dataset that captures spending patterns, cryptocurrency adoption trends, and emerging security vulnerabilities unique to virtual environments. Result; Our findings reveal distinct economic activities ranging from virtual land acquisitions to NFT-based asset trading, while highlighting critical challenges including fraud susceptibility and regulatory gaps. The compiled dataset provides researchers with a robust foundation for investigating digital economic systems, evaluating blockchain applications, and developing AI-powered transaction monitoring tools. Conclusion; This work contributes to broader discussions about establishing secure, transparent financial frameworks for Web3 environments, offering actionable insights for policymakers, platform developers, and economic analysts navigating the complexities of virtual economies.
Keywords: Blockchain; Artificial Intelligence; Virtual reality (VR); Augmented reality (AR) (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:
Downloads: (external link)
https://ete.sciten.org/index.php/ete/article/view/14/33 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:cua:edutec:v:2:y:2024:i::p:14:id:14
Access Statistics for this article
More articles in Edu - Tech Enterprise from Science - Tech Enterprise Alliance
Bibliographic data for series maintained by Edu - Tech Enterprise ().