ABSTRACT. This article reviews and advances existing literature concerning decision intelligence and modeling, multisensory customer experiences, and socially interconnected virtual services across the metaverse ecosystem. In this research, previous findings were cumulated showing that customer experience analytics can articulate digital shopping journeys in immersive virtual environments, and we contribute to the literature by indicating that live shopping events are decisive in virtual item purchasing, increasing engagement rates through location data. Throughout February 2022, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including “metaverse” + “decision intelligence and modeling,” “multisensory customer experiences,” and “socially interconnected virtual services.” As research published in 2022 was inspected, only 89 articles satisfied the eligibility criteria. By taking out controversial or ambiguous findings (insufficient/irrelevant data), outcomes unsubstantiated by replication, too general material, or studies with nearly identical titles, we selected 19 mainly empirical sources. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AXIS, MMAT, ROBIS, and SRDR.

Keywords: multisensory; customer; virtual; decision; metaverse; retail

How to cite: Nica, E., Poliak, M., Popescu, G. H., and Pârvu, I.-A. (2022). “Decision Intelligence and Modeling, Multisensory Customer Experiences, and Socially Interconnected Virtual Services across the Metaverse Ecosystem,” Linguistic and Philosophical Investigations 21: 137–153. doi: 10.22381/lpi2120229.

Received 25 February 2022 • Received in revised form 23 May 2022
Accepted 27 May 2022 • Available online 30 May 2022