ABSTRACT. Based on an in-depth survey of the literature, the purpose of the paper is to explore remote workforce management in the metaverse economy. In this research, previous findings were cumulated showing that immersive 3D experiences necessitate remote working tools, spatial computing technology, and employee avatars, and I contribute to the literature by indicating that people analytics tools, wearable augmented reality devices, and artificial intelligence computing capabilities configure virtual human resource management. Throughout May 2022, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including “metaverse economy” + “virtual team performance,” “collaborative remote work,” and “employee engagement and multimodal behavioral analytics.” As research published in 2022 was inspected, only 156 articles satisfied the eligibility criteria. By taking out controversial or ambiguous findings (insufficient/irrelevant data), outcomes unsubstantiated by replication, too general material, or studies with nearly identical titles, I selected 31 mainly empirical sources. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AMSTAR, Dedoose, Distiller SR, and SRDR.
JEL codes: E24; J21; J54; J64

Keywords: virtual team performance; collaborative remote work; employee engagement and multimodal behavioral analytics; metaverse

How to cite: Hancock, K. (2022). “Virtual Team Performance, Collaborative Remote Work, and Employee Engagement and Multimodal Behavioral Analytics in the Metaverse Economy,” Psychosociological Issues in Human Resource Management 10(2): 55–70. doi: 10.22381/pihrm10220224.

Received 23 June 2022 • Received in revised form 24 October 2022
Accepted 28 October 2022 • Available online 30 October 2022

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