ABSTRACT. Despite the relevance of virtual items, blockchain token-based digital assets, and 3D immersive content, only limited research has been conducted on this topic. In this article, I cumulate previous research findings indicating that data modeling tools optimize customer engagement behaviors and purchasing habits in immersive virtual worlds. I contribute to the literature on shopping habits and behaviors in metaverse live shopping across immersive 3D worlds by showing that personalized digital shopping experiences can be attained by use of customer engagement tools in immersive virtual spaces. Throughout March 2022, I performed a quantitative literature review of the Web of Science, Scopus, and ProQuest databases, with search terms including “blockchain-based virtual worlds” + “metaverse technologies,” “behavioral predictive analytics,” and “customer location tracking tools.” As I inspected research published between 2021 and 2022, only 152 articles satisfied the eligibility criteria. By eliminating controversial findings, outcomes unsubstantiated by replication, too imprecise material, or having similar titles, I decided upon 30, 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.

Keywords: spatial computing technology; virtual retail algorithms; decentralized metaverse; immersive 3D virtual environments; geospatial mapping tools; data modeling tools

How to cite: Carey, B. (2022). “Metaverse Technologies, Behavioral Predictive Analytics, and Customer Location Tracking Tools in Blockchain-based Virtual Worlds,” Review of Contemporary Philosophy 21: 188–204. doi: 10.22381/RCP21202212.

Received 22 April 2022 • Received in revised form 23 August 2022
Accepted 25 August 2022 • Available online 30 August 2022

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