chunk1

ABSTRACT. The present study systematically reviews the existing research on virtual skill acquisition, remote working tools, and employee engagement and retention on blockchain-based metaverse platforms. Our findings indicate that remote sensing tools and metaverse technologies configure engaging virtual training, operational workflows, and immersive work environments. We contribute to the literature by clarifying that digital avatars as remote workforce leverage voice and gesture recognition technologies, simulation modeling algorithms, and data management tools across networked-extended immersive virtual environments. Throughout February 2022, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including “metaverse” + “virtual skill acquisition,” “remote working tools,” and “employee engagement and retention.” As research published in 2022 was inspected, only 79 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, we selected 12 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 skill acquisition; remote working tool; metaverse

How to cite: Kral, P., Janoskova, K., and Dawson, A. (2022). “Virtual Skill Acquisition, Remote Working Tools, and Employee Engagement and Retention on Blockchain-based Metaverse Platforms,” Psychosociological Issues in Human Resource Management 10(1): 92–105. doi: 10.22381/pihrm10120227.

Received 27 February 2022 • Received in revised form 23 May 2022
Accepted 25 May 2022 • Available online 30 May 2022

1Faculty of Operation and Economics of Transport and Communications, Department of Economics, University of Zilina, Zilina, Slovak Republic, This email address is being protected from spambots. You need JavaScript enabled to view it..
1Faculty of Operation and Economics of Transport and Communications, Department of Economics, University of Zilina, Zilina, Slovak Republic, This email address is being protected from spambots. You need JavaScript enabled to view it..
2The Big Data Analytics Research Unit at ISBDA, Dublin, Ireland, This email address is being protected from spambots. You need JavaScript enabled to view it. (corresponding author).

Home | About Us | Events | Our Team | Contributors | Peer Reviewers | Editing Services | Books | Contact | Online Access

© 2009 Addleton Academic Publishers. All Rights Reserved.

 
Joomla templates by Joomlashine