Developing a valid VR-based safety tool framework for hospitality TVET: A Fuzzy Delphi analysis with academic and industry experts
The research explores academia and industry experts’ viewpoints regarding the innovative progression of Virtual Reality (VR)-based safety tools customized for technical and vocational education training (TVET) within commercial kitchen contexts. Developing a VR-based safety tools holistic framework...
Published in: | Journal of Infrastructure, Policy and Development |
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EnPress Publisher, LLC
2024
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Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202871304&doi=10.24294%2fjipd.v8i8.5662&partnerID=40&md5=643eaba8808265d6fa239030314477b7 |
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2-s2.0-85202871304 Saad M.; Sahrir M.S.; Jeinie M.H.; Abdullah N.; Haminuddin N.; Mokhtar M.K. Developing a valid VR-based safety tool framework for hospitality TVET: A Fuzzy Delphi analysis with academic and industry experts 2024 Journal of Infrastructure, Policy and Development 8 8 10.24294/jipd.v8i8.5662 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202871304&doi=10.24294%2fjipd.v8i8.5662&partnerID=40&md5=643eaba8808265d6fa239030314477b7 The research explores academia and industry experts’ viewpoints regarding the innovative progression of Virtual Reality (VR)-based safety tools customized for technical and vocational education training (TVET) within commercial kitchen contexts. Developing a VR-based safety tools holistic framework is crucial in identifying constructs to mitigate the risks prevalent in commercial kitchens, encompassing physical, chemical, biological, ergonomic, and psychosocial hazards workers encounter. Introducing VR-based safety training represents a proactive strategy to bolster education and training standards, especially given the historically limited attention directed toward workers’ physical and mental well-being in this sector. This study pursues a primary objective: validating a framework for VR-based kitchen safety within TVET’s hospitality programs. In addition to on-site observations, the research conducted semi-structured interviews with 16 participants, including safety training coordinators, food service coordinators, and IT experts. Participants supplemented qualitative insights by completing a 7-Likert scale survey. Utilizing the Fuzzy Delphi technique, seven constructs were delineated. The validation process underscored three pivotal constructs essential for the VR safety framework’s development: VR kitchen design, interactive applications, and hazard identification. These findings significantly affect the hospitality industry’s safety standards and training methodologies within commercial kitchen environments. © 2024 by author(s). EnPress Publisher, LLC 25727923 English Article All Open Access; Gold Open Access |
author |
Saad M.; Sahrir M.S.; Jeinie M.H.; Abdullah N.; Haminuddin N.; Mokhtar M.K. |
spellingShingle |
Saad M.; Sahrir M.S.; Jeinie M.H.; Abdullah N.; Haminuddin N.; Mokhtar M.K. Developing a valid VR-based safety tool framework for hospitality TVET: A Fuzzy Delphi analysis with academic and industry experts |
author_facet |
Saad M.; Sahrir M.S.; Jeinie M.H.; Abdullah N.; Haminuddin N.; Mokhtar M.K. |
author_sort |
Saad M.; Sahrir M.S.; Jeinie M.H.; Abdullah N.; Haminuddin N.; Mokhtar M.K. |
title |
Developing a valid VR-based safety tool framework for hospitality TVET: A Fuzzy Delphi analysis with academic and industry experts |
title_short |
Developing a valid VR-based safety tool framework for hospitality TVET: A Fuzzy Delphi analysis with academic and industry experts |
title_full |
Developing a valid VR-based safety tool framework for hospitality TVET: A Fuzzy Delphi analysis with academic and industry experts |
title_fullStr |
Developing a valid VR-based safety tool framework for hospitality TVET: A Fuzzy Delphi analysis with academic and industry experts |
title_full_unstemmed |
Developing a valid VR-based safety tool framework for hospitality TVET: A Fuzzy Delphi analysis with academic and industry experts |
title_sort |
Developing a valid VR-based safety tool framework for hospitality TVET: A Fuzzy Delphi analysis with academic and industry experts |
publishDate |
2024 |
container_title |
Journal of Infrastructure, Policy and Development |
container_volume |
8 |
container_issue |
8 |
doi_str_mv |
10.24294/jipd.v8i8.5662 |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202871304&doi=10.24294%2fjipd.v8i8.5662&partnerID=40&md5=643eaba8808265d6fa239030314477b7 |
description |
The research explores academia and industry experts’ viewpoints regarding the innovative progression of Virtual Reality (VR)-based safety tools customized for technical and vocational education training (TVET) within commercial kitchen contexts. Developing a VR-based safety tools holistic framework is crucial in identifying constructs to mitigate the risks prevalent in commercial kitchens, encompassing physical, chemical, biological, ergonomic, and psychosocial hazards workers encounter. Introducing VR-based safety training represents a proactive strategy to bolster education and training standards, especially given the historically limited attention directed toward workers’ physical and mental well-being in this sector. This study pursues a primary objective: validating a framework for VR-based kitchen safety within TVET’s hospitality programs. In addition to on-site observations, the research conducted semi-structured interviews with 16 participants, including safety training coordinators, food service coordinators, and IT experts. Participants supplemented qualitative insights by completing a 7-Likert scale survey. Utilizing the Fuzzy Delphi technique, seven constructs were delineated. The validation process underscored three pivotal constructs essential for the VR safety framework’s development: VR kitchen design, interactive applications, and hazard identification. These findings significantly affect the hospitality industry’s safety standards and training methodologies within commercial kitchen environments. © 2024 by author(s). |
publisher |
EnPress Publisher, LLC |
issn |
25727923 |
language |
English |
format |
Article |
accesstype |
All Open Access; Gold Open Access |
record_format |
scopus |
collection |
Scopus |
_version_ |
1812871796399013888 |