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Article: User acceptance of virtual reality technology for practicing digital twin-based crisis management

TitleUser acceptance of virtual reality technology for practicing digital twin-based crisis management
Authors
Keywordsdigital twin
virtual reality
crisis management
structural equation modeling
technology acceptance
Issue Date2020
PublisherTaylor & Francis Ltd. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/0951192X.asp
Citation
International Journal of Computer Integrated Manufacturing, 2020, Epub 2020-08-10 How to Cite?
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.
Persistent Identifierhttp://hdl.handle.net/10722/290575
ISSN
2021 Impact Factor: 4.420
2020 SCImago Journal Rankings: 0.884
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorKwok, PK-
dc.contributor.authorYan, M-
dc.contributor.authorQu, T-
dc.contributor.authorLau, HYK-
dc.date.accessioned2020-11-02T05:44:11Z-
dc.date.available2020-11-02T05:44:11Z-
dc.date.issued2020-
dc.identifier.citationInternational Journal of Computer Integrated Manufacturing, 2020, Epub 2020-08-10-
dc.identifier.issn0951-192X-
dc.identifier.urihttp://hdl.handle.net/10722/290575-
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.-
dc.languageeng-
dc.publisherTaylor & Francis Ltd. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/0951192X.asp-
dc.relation.ispartofInternational Journal of Computer Integrated Manufacturing-
dc.rightsAOM/Preprint Before Accepted: his article has been accepted for publication in [JOURNAL TITLE], published by Taylor & Francis. AOM/Preprint After Accepted: This is an [original manuscript / preprint] of an article published by Taylor & Francis in [JOURNAL TITLE] on [date of publication], available online: http://www.tandfonline.com/[Article DOI]. Accepted Manuscript (AM) i.e. Postprint This is an Accepted Manuscript of an article published by Taylor & Francis in [JOURNAL TITLE] on [date of publication], available online: http://www.tandfonline.com/[Article DOI].-
dc.subjectdigital twin-
dc.subjectvirtual reality-
dc.subjectcrisis management-
dc.subjectstructural equation modeling-
dc.subjecttechnology acceptance-
dc.titleUser acceptance of virtual reality technology for practicing digital twin-based crisis management-
dc.typeArticle-
dc.identifier.emailLau, HYK: hyklau@hku.hk-
dc.identifier.authorityLau, HYK=rp00137-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1080/0951192X.2020.1803502-
dc.identifier.scopuseid_2-s2.0-85089254199-
dc.identifier.hkuros318206-
dc.identifier.volumeEpub 2020-08-10-
dc.identifier.spage1-
dc.identifier.epage14-
dc.identifier.isiWOS:000557971500001-
dc.publisher.placeUnited Kingdom-
dc.identifier.issnl0951-192X-

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