Virtual Human Resource Management, Workplace Tracking and Algorithmic Monitoring Systems, and Cognitive and Affective Metrics in the Immersive Metaverse Environment Cover Image
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Virtual Human Resource Management, Workplace Tracking and Algorithmic Monitoring Systems, and Cognitive and Affective Metrics in the Immersive Metaverse Environment
Virtual Human Resource Management, Workplace Tracking and Algorithmic Monitoring Systems, and Cognitive and Affective Metrics in the Immersive Metaverse Environment

Author(s): Marek Vochozka, Jakub Horák, Brian Carey
Subject(s): Management and complex organizations, Human Resources in Economy, ICT Information and Communications Technologies
Published by: Addleton Academic Publishers
Keywords: virtual human resource management; workplace tracking and algorithmic monitoring systems; cognitive and affective metrics; metaverse;

Summary/Abstract: Despite the relevance of immersive workspaces in a fully connected metaverse, only limited research has been conducted on this topic. In this article, we cumulate previous research findings indicating that augmented reality technologies, simulation modeling software tools, and workplace tracking systems enable immersive work environments. Throughout May 2022, we performed a quantitative literature review of the Web of Science, Scopus, and ProQuest databases, with search terms including “immersive metaverse environment” + “virtual human resource management,” “workplace tracking and algorithmic monitoring systems,” and “cognitive and affective metrics.” As we inspected research published in 2022, only 157 articles satisfied the eligibility criteria. By eliminating controversial findings, outcomes unsubstantiated by replication, too imprecise material, or having similar titles, we decided upon 31, generally empirical, sources. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AXIS, Dedoose, Distiller SR, and MMAT.

  • Issue Year: 10/2022
  • Issue No: 2
  • Page Range: 119-134
  • Page Count: 16
  • Language: English