ABSTRACT. The purpose of this study is to examine employee behavioral data, networked digital tools, and metaverse engagement metrics. In this article, I cumulate previous research findings indicating that employee avatars, remote collaboration tools, and spatial intelligence technology shape virtual workplaces. I contribute to the literature on interactive collaborative work on blockchain-based metaverse platforms by showing that spatial intelligence tools, quality tracking systems, and employee engagement analytics are pivotal in immersive work environments. Throughout April 2022, I performed a quantitative literature review of the Web of Science, Scopus, and ProQuest databases, with search terms including “virtual workplaces” + “metaverse engagement metrics,” “algorithmic tracking and spatial computing technologies,” and “cognitive and behavioral algorithms.” As I inspected research published in 2022, only 158 articles satisfied the eligibility criteria. By removing controversial findings, outcomes unsubstantiated by replication, too imprecise material, or having similar titles, I decided upon 29, 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, MMAT, and SRDR.
JEL codes: E24; J21; J54; J64

Keywords: metaverse engagement metrics; algorithmic tracking and spatial computing technologies; cognitive and behavioral algorithms; virtual workplaces

How to cite: Perkins, J. (2022). “Metaverse Engagement Metrics, Algorithmic Tracking and Spatial Computing Technologies, and Cognitive and Behavioral Algorithms in Virtual Workplaces,” Psychosociological Issues in Human Resource Management 10(2): 39–54. doi: 10.22381/pihrm10220223.

Received 22 May 2022 • Received in revised form 21 October 2022
Accepted 24 October 2022 • Available online 30 October 2022