ABSTRACT. Despite the relevance of virtual hiring and training processes in the metaverse, only limited research has been conducted on this topic. In this article, we cumulate previous research findings indicating that augmented analytics and virtual connectivity tools, predictive modeling, and digital twin technologies assist virtual meetings and employee engagement metrics. We contribute to the literature on remote work apps, sensory algorithmic devices, and decision intelligence and modeling by showing that virtual avatars as remote workforce can deploy data mining techniques, metaverse-related technologies, and collaboration tools to optimize performance parameters. Throughout March 2022, we performed a quantitative literature review of the Web of Science, Scopus, and ProQuest databases, with search terms including “metaverse” + “virtual hiring and training processes,” “remote work apps,” “sensory algorithmic devices,” and “decision intelligence and modeling.” As we inspected research published in 2022, only 80 articles satisfied the eligibility criteria. By eliminating controversial findings, outcomes unsubstantiated by replication, too imprecise material, or having similar titles, we decided upon 12, 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.
JEL codes: E24; J21; J54; J64

Keywords: virtual; hiring; training; metaverse; remote work app; decision making

How to cite: Frajtova Michalikova, K., Suler, P., and Robinson, R. (2022). “Virtual Hiring and Training Processes in the Metaverse: Remote Work Apps, Sensory Algorithmic Devices, and Decision Intelligence and Modeling,” Psychosociological Issues in Human Resource Management 10(1): 50–63. doi: 10.22381/pihrm10120224.

Received 22 March 2022 • Received in revised form 23 May 2022
Accepted 25 May 2022 • Available online 30 May 2022