ABSTRACT. The aim of this systematic review is to synthesize and analyze 3D digital twin factories, blockchain-based digital asset management and multi-sensor fusion systems, and metaverse virtual services. With increasing evidence of the digital asset-based virtual economy and the industrial metaverse, there is an essential demand for comprehending whether realistic virtual simulation environments develop on distributed sensor and virtual plant floor networks, metaverse digital asset management, and mobile device and motion capture technologies. I carried out a quantitative literature review of ProQuest, Scopus, and the Web of Science throughout January 2023, with search terms including “the immersive industrial metaverse” + “artificial intelligence-based Internet of Manufacturing Things systems,” “digital twin data modeling and visualization tools,” and “multi-sensory extended reality and geospatial mapping technologies.” As I analyzed research published between 2022 and 2023, only 146 papers met the eligibility criteria. By removing controversial or unclear findings (scanty/unimportant data), results unsupported by replication, undetailed content, or papers having quite similar titles, I decided on 24, chiefly empirical, sources. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AXIS, Distiller SR, ROBIS, and SRDR.
JEL codes: D53; E22; E32; E44; G01; G41

Keywords: artificial intelligence-based Internet of Manufacturing Things systems; digital twin data modeling and visualization tools; multi-sensory extended reality; geospatial mapping technologies; immersive industrial metaverse

How to cite: Barker, M. (2023). “Artificial Intelligence-based Internet of Manufacturing Things Systems, Digital Twin Data Modeling and Visualization Tools, and Multi-Sensory Extended Reality and Geospatial Mapping Technologies in the Immersive Industrial Metaverse,” Economics, Management, and Financial Markets 18(1): 41–56. doi: 10.22381/emfm18120233.

Received 17 January 2023 • Received in revised form 25 March 2023
Accepted 27 March 2023 • Available online 30 March 2023