Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/6749
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dc.contributor.authorDr. KWOK Pak Ki, Alexen_US
dc.contributor.authorYan, Mianen_US
dc.contributor.authorQu, Tingen_US
dc.contributor.authorLau, Y. K. Henryen_US
dc.date.accessioned2021-11-18T08:25:14Z-
dc.date.available2021-11-18T08:25:14Z-
dc.date.issued2020-
dc.identifier.citationInternational Journal of Computer Integrated Manufacturing, 2020, vol. 34(7-8), pp. 874-887.en_US
dc.identifier.issn0951-192X-
dc.identifier.issn1362-3052-
dc.identifier.urihttp://hdl.handle.net/20.500.11861/6749-
dc.description.abstractDigital Twin can provide emergency response staff with large quantities of useful information about the emergency. However, the capability of the staff to understand and use the information correctly is equally as important. Hence, regular crisis management training is required in sophisticated manufacturing systems. Still, the time and location constraints limit the frequency of conducting such practices. As such, virtual reality-based crisis management training methods were proposed in the literature. However, little research was conducted to investigate the underlying mechanisms that drive both the perception and the adoption of virtual reality for crisis management training among users. To address this research gap, this study proposed a research model to examine the effects of perceived usefulness, perceived ease of use, perceived behavioral control, application-specific self-efficacy, and attitude on users’ acceptance of the system. A partial least squares structural equation modeling approach was used for model testing based on 103 valid observations. The results demonstrated that the constructs proposed in our study determined user acceptance of the system, and the research model was able to explain 60% of the variance in behavioral intention. The likelihood of acceptance of related technologies may be increased by applying the findings of this study.en_US
dc.language.isoenen_US
dc.relation.ispartofInternational Journal of Computer Integrated Manufacturingen_US
dc.titleUser acceptance of virtual reality technology for practicing digital twin-based crisis managementen_US
dc.typePeer Reviewed Journal Articleen_US
dc.identifier.doi10.1080/0951192X.2020.1803502-
crisitem.author.deptDepartment of Applied Data Science-
item.fulltextNo Fulltext-
Appears in Collections:Applied Data Science - Publication
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