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ABSTRACT. This paper provides a systematic literature review of studies investigating metaverse engagement in virtual workplaces. The analysis highlights that spatial computing technologies, image recognition tools, and cognitive analytics management are instrumental in virtual office spaces. Throughout April 2022, we performed a quantitative literature review of the Web of Science, Scopus, and ProQuest databases, with search terms including “the economic infrastructure of the metaverse” + “haptic and biometric sensor technologies,” “movement and behavior tracking tools,” and “employee performance metrics.” As we inspected research published in 2022, only 166 articles satisfied the eligibility criteria. By eliminating controversial findings, outcomes unsubstantiated by replication, too imprecise material, or having similar titles, we decided upon 34, 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: E24; J21; J54; J64

Keywords: haptic and biometric sensor technologies; movement and behavior tracking tools; employee performance metrics; metaverse

How to cite: Machova, V., Nica, E., and Lăzăroiu, G. (2022). “Haptic and Biometric Sensor Technologies, Movement and Behavior Tracking Tools, and Employee Performance Metrics in the Economic Infrastructure of the Metaverse,” Psychosociological Issues in Human Resource Management 10(2): 7–22. doi: 10.22381/pihrm10220221.

Received 20 May 2022 • Received in revised form 21 October 2022
Accepted 25 October 2022 • Available online 30 October 2022

1The School of Expertness and Valuation, The Institute of Technology and Business in Ceske Budejovice, Czech Republic, This email address is being protected from spambots. You need JavaScript enabled to view it..
2The Bucharest University of Economic Studies, Bucharest, Romania, This email address is being protected from spambots. You need JavaScript enabled to view it..
3The Institute of Smart Big Data Analytics, New York City, NY, USA; Spiru Haret University, Bucharest, Romania, This email address is being protected from spambots. You need JavaScript enabled to view it.. (corresponding author)

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