Virtual Employee Engagement, Workplace Collaboration Software, and Generative Artificial Intelligence and Haptic and Biometric Sensor Technologies in Immersive Coaching and Mentorship Spaces
Ana-Maria-Sonia Petreanu1, Ioana-Alexandra Pârvu1, Marilena Ionica Niță1, and Charles Goodman2ABSTRACT. This article reviews and advances existing literature concerning generative artificial intelligence and 3D virtual simulation technologies articulating knowledge sharing practices, talent management, and employee loyalty and satisfaction. Throughout July 2023, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including “generative artificial intelligence and haptic and biometric sensor technologies” + “virtual employee engagement,” “workplace collaboration software,” and “immersive coaching and mentorship spaces.” As research published in 2023 was inspected, only 171 articles satisfied the eligibility criteria, and 48 mainly empirical sources were selected. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AXIS, MMAT, ROBIS, and SRDR.
Keywords: virtual employee engagement; workplace collaboration software; generative artificial intelligence; haptic and biometric sensor technologies; immersive; coaching; mentorship
How to cite: Petreanu, A.-M.-S., Pârvu, I.-A., Niță, M. I., and Goodman, C. (2023). “Virtual Employee Engagement, Workplace Collaboration Software, and Generative Artificial Intelligence and Haptic and Biometric Sensor Technologies in Immersive Coaching and Mentorship Spaces,” Analysis and Metaphysics 22: 216–234. doi: 10.22381/am22202312.
Received 20 August 2023 • Received in revised form 24 December 2023
Accepted 29 December 2023 • Available online 30 December 2023