Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/6749
Title: User acceptance of virtual reality technology for practicing digital twin-based crisis management
Authors: Dr. KWOK Pak Ki, Alex 
Yan, Mian 
Qu, Ting 
Lau, Y. K. Henry 
Issue Date: 2020
Source: International Journal of Computer Integrated Manufacturing, 2020, vol. 34(7-8), pp. 874-887.
Journal: International Journal of Computer Integrated Manufacturing 
Abstract: Digital 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.
Type: Peer Reviewed Journal Article
URI: http://hdl.handle.net/20.500.11861/6749
ISSN: 0951-192X
1362-3052
DOI: 10.1080/0951192X.2020.1803502
Appears in Collections:Applied Data Science - Publication

Show full item record

SCOPUSTM   
Citations

46
checked on Dec 22, 2024

Page view(s)

95
Last Week
2
Last month
checked on Dec 20, 2024

Google ScholarTM

Impact Indices

Altmetric

PlumX

Metrics


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.