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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
Journal of Self-Governance and Management Economics – Addleton Academic Publishers
Published: Jan 1, 2022
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