ABSTRACT. This paper provides a systematic literature review of studies investigating virtual modeling and simulation tools, wearable Internet of Things and virtual reality terminal devices, and industrial digital twins. Throughout January 2023, we performed a quantitative literature review of the Web of Science, Scopus, and ProQuest databases, with search terms including “realistic 3D simulation environments” + “blockchain-based decentralized metaverse systems,” “industrial Artificial Intelligence of Things,” and “spatial data mining and acoustic environment recognition algorithms.” As we inspected research published between 2022 and 2023, only 142 articles satisfied the eligibility criteria. By eliminating controversial findings, outcomes unsubstantiated by replication, too imprecise material, or having similar titles, we decided upon 25, 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.
JEL codes: D53; E22; E32; E44; G01; G41
Keywords: blockchain-based decentralized metaverse systems; industrial Artificial Intelligence of Things; spatial data mining; acoustic environment recognition algorithms; realistic 3D simulation environments
How to cite: Cug, J., Trnka, M., and Popescu, G. H. (2023). “Blockchain-based Decentralized Metaverse Systems, Industrial Artificial Intelligence of Things, and Spatial Data Mining and Acoustic Environment Recognition Algorithms in Realistic 3D Simulation Environments,” Economics, Management, and Financial Markets 18(1): 57–72. doi: 10.22381/emfm18120234.
Received 19 January 2023 • Received in revised form 26 March 2023
Accepted 28 March 2023 • Available online 30 March 2023