Working in the Metaverse: Virtual Recruitment, Cognitive Analytics Management, and Immersive Visualization Systems
Pavol Durana1, Tomas Krulicky2, and Edward Taylor3ABSTRACT. The aim of this systematic review is to synthesize and analyze working in the metaverse. With increasing evidence of workplace technologies on blockchain-based metaverse platforms, there is an essential demand for comprehending whether extended reality technologies can drive significant levels of work efficiency and productivity in the metaverse economy through intensive immersions. In this research, prior findings were cumulated indicating that metaverse employee socialization entails immersive job training, remote working, and virtual work meetings. We carried out a quantitative literature review of ProQuest, Scopus, and the Web of Science throughout March 2022, with search terms including “metaverse” + “virtual recruitment,” “cognitive analytics management,” and “immersive visualization systems.” As we analyzed research published in 2022, only 78 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, we decided on 11, 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: E24; J21; J54; J64
Keywords: metaverse; virtual recruitment; immersive visualization system; work
How to cite: Durana, P., Krulicky, T., and Taylor, E. (2022). “Working in the Metaverse: Virtual Recruitment, Cognitive Analytics Management, and Immersive Visualization Systems,” Psychosociological Issues in Human Resource Management 10(1): 135–148. doi: 10.22381/pihrm101202210.
Received 23 March 2022 • Received in revised form 27 May 2022
Accepted 28 May 2022 • Available online 30 May 2022