Investigating the impact of virtual tourism on travel intention during the post-COVID-19 era: evidence from China
Dingyu Ye,
Dongmin Cho (),
Fufan Liu (),
Yu Xu,
Zhengzhi Jia and
Jianyu Chen
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Dingyu Ye: Jeonbuk National University
Dongmin Cho: Jeonbuk National University
Fufan Liu: JYU - University of Jyväskylä
Yu Xu: Chent University
Zhengzhi Jia: BCU - Birmingham City University
Jianyu Chen: Sichuan Tourism University
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Abstract:
This study explores the mechanism that contributes to travel intention in the field of virtual tourism. The overall research method is based on the "Stimulus-Organism-Response" theory. In the research model, the effects of content quality, system quality, and interaction quality in virtual tourism on tourism experience and travel intention are explored, as well as the role of virtual attachment and travel intention. A total of 390 respondents were invited to participate in a virtual tourism experience, and provide feedback through a questionnaire. SmartPLS 3.3.2 was used to validate the causal model, and most of the study hypotheses were supported. The findings show that virtual tourism significantly promotes travel intention. Specifically, content quality, system quality, and interaction quality positively affect tourists' travel intention through the complementary mediations of tourism experience and virtual attachment; and system quality even directly promotes travel intention. However, tourism experience does not affect virtual attachment. The present study extends prior studies on virtual tourism with SOR as a general model for field tourism experience research, while demonstrating the effectiveness of virtual tourism in promoting tourists' travel intention. The results are useful in assisting governments with developing relevant policies and services, as well as helping tourism companies understand virtual tourism as an enhancement for tourist travel intention, thus contributing to the recovery of the tourism industry in the post-COVID-19 era.
Keywords: Virtual tourism; Stimulus-organism-response model; Travel intention; PLS-SEM; Post-COVID-19; China (search for similar items in EconPapers)
Date: 2024-11
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Published in Universal Access in the Information Society, 2024, 23 (4), pp.1507-1523. ⟨10.1007/s10209-022-00952-1⟩
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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-05281399
DOI: 10.1007/s10209-022-00952-1
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