Immersive and Engaging Digital Content, Data Visualization Tools, and Location Analytics in a Decentralized Metaverse

Abstract

In this article, I cumulate previous research findings indicating that immersive technologies, automated machine learning, data visualization tools, and location analytics can assist in retaining repeat shoppers, influencing consumer patterns and driving user engagement in virtual retail stores. I contribute to the literature on the decentralized metaverse by showing that data sharing technologies and visual analytics can optimize operations and livestream video shopping experiences in retail and business locations as regards digital ownership in the blockchain-based virtual economy. Throughout March 2022, I performed a quantitative literature review of the Web of Science, Scopus, and ProQuest databases, with search terms including “metaverse” + “immersive digital content,” “engaging digital content,” “data visualization tools,” and “location analytics.” As I inspected research published between 2021 and 2022, only 76 articles satisfied the eligibility criteria. By eliminating controversial findings, outcomes unsubstantiated by replication, too imprecise material, or having similar titles, I decided upon 14, generally empirical, sources. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AMSTAR, Distiller SR, MMAT, and ROBIS.