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Cited by 1,294

The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.

Virtual reality, presence, and attitude change: Empirical evidence from tourism

Tussyadiah, Iis P., Wang, Dan, Jung, Timothy H., tom Dieck, M.Claudia·2018·Tourism Management
DOI 10.1016/j.tourman.2017.12.003
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Abstract

Abstract The rapid development of virtual reality (VR) technology offers opportunities for a widespread consumption of VR tourism content. It also presents challenges to better understand the effectiveness of VR experience in inducing more favorable attitude toward tourism destinations and shaping visitation intention. Based on two studies, one conducted in Hong Kong with 202 participants and another in the United Kingdom with 724 participants, this research identified several positive consequences of the sense of presence in VR experiences. First, the feeling of being in the virtual environment increases enjoyment of VR experiences. Second, the heightened feeling of being there results in stronger liking and preference in the destination. Third, positive attitude change leads to a higher level of visitation intention. Therefore, this study provides empirical evidence to confirm the effectiveness of VR in shaping consumers’ attitude and behavior.

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Metadata

Authors
Tussyadiah, I. P., Wang, D., Jung, T. H., & tom Dieck, M. C.
Venue
Tourism Management
Publisher
Elsevier BV
Published
2018-06
Volume
66
Pages
140-154
ISSN
0261-5177 (ISSN-L)
DOI
10.1016/j.tourman.2017.12.003
OpenAlex
W2773314609
Cited by
1,294
References
16
FWCI
67.87
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Virtual reality, presence, and attitude change: Empirical evidence from tourism. https://app.cochat.ai/papers/10.1016/j.tourman.2017.12.003
The paper
Tussyadiah, I. P., Wang, D., Jung, T. H., & tom Dieck, M. C. (2018). Virtual reality, presence, and attitude change: Empirical evidence from tourism. Tourism Management. https://doi.org/10.1016/j.tourman.2017.12.003

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.