Virtual Employee Engagement and Immersive Workspaces, Wearable Augmented Reality Technology, and Spatial Data Mining and Simulation Modeling Algorithms in the Metaverse Interactive Environment Cover Image
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Virtual Employee Engagement and Immersive Workspaces, Wearable Augmented Reality Technology, and Spatial Data Mining and Simulation Modeling Algorithms in the Metaverse Interactive Environment
Virtual Employee Engagement and Immersive Workspaces, Wearable Augmented Reality Technology, and Spatial Data Mining and Simulation Modeling Algorithms in the Metaverse Interactive Environment

Author(s): Zdenka Musová, Alina Tănase, Cristian Ionuț Stan, Tanța Camelia Chitcă
Subject(s): Management and complex organizations, Human Resources in Economy, ICT Information and Communications Technologies
Published by: Addleton Academic Publishers
Keywords: virtual employee engagement and immersive workspaces; wearable augmented reality technology; spatial data mining and simulation modeling algorithms; metaverse;

Summary/Abstract: 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.

  • Issue Year: 10/2022
  • Issue No: 2
  • Page Range: 151-166
  • Page Count: 16
  • Language: English