Evidence map›Paper›PMID 36466580›Full record

ArticleUniversal access in the information society2022

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, Jianyu Chen

Abstract read
In one paragraph

Article in Universal access in the information society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Dingyu YeDepartment of Design and Manufacturing Engineering, Jeonbuk National University, Jeollabuk-do Jeonju, Republic of Korea.
Dongmin ChoDepartment of Industrial Design, Jeonbuk National University, Jeollabuk-do Jeonju, Republic of Korea.ORCID 0000-0003-2328-9233
Fufan LiuFaculty of Information Technology, University of Jyväskylä, Jyvaskyla, Finland.
Yu XuDepartment of Business Economics, Chent University, Ghent, Belgium.
Zhengzhi JiaDepartment of International Communication, Birmingham City University, Birmingham, UK.
Jianyu ChenDepartment of Economics and Management, Sichuan Tourism University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

ChinaPLS-SEMPost-COVID-19Stimulus-organism-response modelTravel intentionVirtual tourism

Identifiers

PMID36466580
PMCPMC9707137

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.