Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Metaverse Technologies, Behavioral Predictive Analytics, and Customer Location Tracking Tools in Blockchain-based Virtual Worlds

Metaverse Technologies, Behavioral Predictive Analytics, and Customer Location Tracking Tools in... 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 http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Review of Contemporary Philosophy Addleton Academic Publishers

Metaverse Technologies, Behavioral Predictive Analytics, and Customer Location Tracking Tools in Blockchain-based Virtual Worlds

Brian Carey
Review of Contemporary Philosophy , Volume 21 (1): 17 – Jan 1, 2022
Download PDF
17 pages

Loading next page...
 
/lp/addleton-academic-publishers/metaverse-technologies-behavioral-predictive-analytics-and-customer-hT5IABz3vd
Publisher
Addleton Academic Publishers
Copyright
© 2009 Addleton Academic Publishers
ISSN
1841-5261
eISSN
2471-089X
Publisher site
See Article on Publisher Site

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

Journal

Review of Contemporary Philosophy – Addleton Academic Publishers

Published: Jan 1, 2022

There are no references for this article.