ABSTRACT. Despite the relevance of augmented reality-based livestream shopping in the metaverse economy, only limited research has been conducted on this topic. In this article, we cumulate previous research findings indicating that retail analytics leverages consumer location data, movement and behavior tracking tools, and brand perception metrics in immersive virtual spaces. We contribute to the literature on immersive virtual shopping in the retail metaverse by showing that interactive brand experiences can be attained through computer-generated images and movement and behavior tracking tools in virtual marketplaces. Throughout March 2022, we performed a quantitative literature review of the Web of Science, Scopus, and ProQuest databases, with search terms including “metaverse” + “immersive visualization systems,” “spatial simulation and environment mapping algorithms,” and “decision intelligence and modeling tools.” As we inspected research published in 2022, only 209 articles satisfied the eligibility criteria. By eliminating controversial findings, outcomes unsubstantiated by replication, too imprecise material, or having similar titles, we decided upon 48, generally empirical, sources. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AXIS, Dedoose, Distiller SR, and MMAT.
JEL codes: D53; E22; E32; E44; G01; G41

Keywords: immersive visualization system; spatial simulation; environment mapping algorithm; decision intelligence and modeling; Web3; metaverse

How to cite: Popp, J., and Cuțitoi, A.-C. (2022). “Immersive Visualization Systems, Spatial Simulation and Environment Mapping Algorithms, and Decision Intelligence and Modeling Tools in the Web3-powered Metaverse World,” Journal of Self-Governance and Management Economics 10(3): 56–72. doi: 10.22381/jsme10320224.

Received 20 April 2022 • Received in revised form 25 September 2022
Accepted 28 September 2022 • Available online 30 September 2022

1John von Neumann University, Hungarian National Bank–Research Center, Hungary; College of Business and Economics, University of Johannesburg, South Africa, This email address is being protected from spambots. You need JavaScript enabled to view it..
2University of Craiova, Craiova, Romania, This email address is being protected from spambots. You need JavaScript enabled to view it.. (corresponding author)

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