Zielonogórska Biblioteka Cyfrowa udostępnia 67 569 obiektów cyfrowych
Obiekt
Tytuł: Integrating VR, AR and AI into corporate employee training: A study of mixed methods towards personalized learning design
Autor:
Mandakova, Martina ; Hrablik Chovanová, Henrieta ; Witkowski, Krzysztof
Data wydania:
Typ zasobu:
Współtwórca:
Stankiewicz, Janina - red. nacz. ; Preston, Peter- red. jęz. ; Zmyślony, Roman - red. statyst. ; Skalik, Jan - red. ; Moczulska, Marta - red. ; Adamczyk, Janusz- red.
Tytuł publikacji grupowej:
Abstract:
Research background and purpose: Digital transformation and the emergence of Industry 4.0 and 5.0 intensify the need for innovative, efficient, and human-centred approaches to employee training in industrial enterprises. Immersive technologies - virtual reality (VR), augmented reality (AR), and artificial intelligence (AI) - offer new possibilities for enhancing experiential learning, personalization, and workplace safety. The main purpose of this article is to present a comprehensive model for integrating VR, AR, and AI into corporate employee training, based on an extensive literature review and empirical research conducted in Slovakia and the Czech Republic. ; Design/methodology/approach: The study applies a mixed-methods design combining theoretical analysis with empirical inquiry. The theoretical component synthesizes current knowledge on immersive learning, AI-supported personalization, and instructional design principles. The empirical part consists of a quantitative survey carried out between 2024 and 2025 among 106 industrial enterprises, supplemented by pilot testing in Slovak and Czech companies. The survey examined organizational readiness, perceived benefits and barriers, and existing use cases of VR, AR, and AI in employee training programs. ; Findings: Results indicate that although technological awareness is high, actual adoption of immersive tools in industrial training remains limited. Companies recognize substantial benefits, including the ability to simulate risk-intensive tasks safely, increase engagement, reduce training time, and support personalized learning through AI-driven analytics and adaptive content. However, several barriers hinder wider implementation: high equipment and development costs, limited hardware availability, insufficient digital competencies among employees, and a lack of systematic training strategies. Based on the research outcomes, a structured framework for designing personalized and immersive training programs was developed. ; Value added and limitations: The main value added by this study is the integration of theoretical insights with practical findings, resulting in a comprehensive framework to guide organizations in adopting immersive and intelligent technologies. The conclusions can support strategic decision-making in HR development, technological investment, and the optimization of training processes. The primary limitation lies in the composition of the survey sample, which includes predominantly medium and large industrial enterprises from two countries, potentially reducing representativeness. Future research should extend the sample, incorporate longitudinal evaluation, and analyse industry-specific applications of VR, AR, and AI.
Wydawca:
Zielona Góra: Faculty of Economics and Management Press
Format:
Identyfikator zasobu:
DOI:
Strony:
Źródło:
Management, vol. 30, no 1 (2026)
Jezyk:
Prawa do dysponowania publikacją:
Biblioteka Uniwersytetu Zielonogórskiego
Kolekcje, do których przypisany jest obiekt:
- Zielonogórska Biblioteka Cyfrowa > Repozytorium > Jednostki organizacyjne > Wydział Ekonomii i Zarządzania
- Zielonogórska Biblioteka Cyfrowa > Repozytorium > Typy utworów > Artykuły
- Zielonogórska Biblioteka Cyfrowa > Repozytorium > Czasopisma naukowe i serie wydawnicze UZ > Management > Management, volumen 30 (2026)
Data ostatniej modyfikacji:
21 sie 2026
Data dodania obiektu:
21 sie 2026
Liczba wyświetleń treści obiektu:
2
Wszystkie dostępne wersje tego obiektu:
https://www.zbc.uz.zgora.pl/publication/110112
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| Nazwa wydania | Data |
|---|---|
| Integrating VR, AR and AI into corporate employee training: A study of mixed methods towards personalized learning design | 21 sie 2026 |
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