Virtual Employee Engagement and Immersive Workspaces, Wearable Augmented Reality Technology, and Spatial Data Mining and Simulation Modeling Algorithms in the Metaverse Interactive Environment
Zdenka Musova1, Alina Tănase2, Cristian Ionuț Stan2, and Tanța Camelia Chitcă2ABSTRACT. The aim of this systematic review is to synthesize and analyze interactive collaborative work in the virtual economy of the metaverse. We carried out a quantitative literature review of ProQuest, Scopus, and the Web of Science throughout May 2022, with search terms including “metaverse interactive environment” + “virtual employee engagement and immersive workspaces,” “wearable augmented reality technology,” and “spatial data mining and simulation modeling algorithms.” As we analyzed research published in 2022, only 158 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 30, 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: virtual employee engagement and immersive workspaces; wearable augmented reality technology; spatial data mining and simulation modeling algorithms; metaverse
How to cite: Musova, Z., Tănase, A., Stan, C. I., and Chitcă, T. C. (2022). “Virtual Employee Engagement and Immersive Workspaces, Wearable Augmented Reality Technology, and Spatial Data Mining and Simulation Modeling Algorithms in the Metaverse Interactive Environment,” Psychosociological Issues in Human Resource Management 10(2): 151–166. doi: 10.22381/pihrm102202210.
Received 22 June 2022 • Received in revised form 23 October 2022
Accepted 27 October 2022 • Available online 30 October 2022