Virtual Employee Engagement, Workplace Collaboration Software, and Generative Artificial Intelligence and Haptic and Biometric Sensor Technologies in Immersive Coaching and Mentorship Spaces Cover Image
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Virtual Employee Engagement, Workplace Collaboration Software, and Generative Artificial Intelligence and Haptic and Biometric Sensor Technologies in Immersive Coaching and Mentorship Spaces
Virtual Employee Engagement, Workplace Collaboration Software, and Generative Artificial Intelligence and Haptic and Biometric Sensor Technologies in Immersive Coaching and Mentorship Spaces

Author(s): Ana-Maria-Sonia Petreanu, Ioana-Alexandra Pârvu, Marilena Ionica Niță, Charles Goodman
Subject(s): Labor relations, Management and complex organizations, ICT Information and Communications Technologies
Published by: Addleton Academic Publishers
Keywords: virtual employee engagement; workplace collaboration software; generative artificial intelligence; haptic and biometric sensor technologies; immersive; coaching; mentorship;

Summary/Abstract: 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.

  • Issue Year: 2023
  • Issue No: 22
  • Page Range: 216-234
  • Page Count: 19
  • Language: English
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