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Modeling the impact of virtual reality technology integration for snow and ice sports on enhancing regional sports tourism economy


Citation

Wang, Ning and Zhao, Ping and Wang, Xing and Wang, Yixuan (2024) Modeling the impact of virtual reality technology integration for snow and ice sports on enhancing regional sports tourism economy. Applied Mathematics and Nonlinear Sciences, 9 (1). art. no. 20243389. ISSN 2444-8656; eISSN: 2444-8656

Abstract

In order to reveal the relationship between the integration of ice and snow sports virtual reality technology and the regional sports tourism economy, this paper establishes a structural equation model for ice and snow sports VR and sports tourism economy. Determine the latent variables and observed variables in the structural equation model (i.e., questionnaire items), take the online distribution of questionnaires to obtain the research data in this paper, and use the model in this paper to explore and analyze the integration of ice and snow sports virtual reality technology and regional sports tourism economies. The questionnaires developed in this paper meet the standard requirements of the reliability test, and the fitting indexes of the model have reached the state of conformity, as shown by the results. The path coefficients of the latent variable (VR experience quality) to the observed variables (Q11, Q12, Q13, Q14) are 0.555, 0.409, 0.344, and 0.348, respectively, and the non-standard coefficient of the quality of ice and snow sports VR experience (Q1) to the local sports tourism economy (Q4) is 0.941, P<0.05, which confirms that the ice and snow sports VR experience has a positive impact on the local sports tourism economy promotion effect.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Human Ecology
DOI Number: https://doi.org/10.2478/amns-2024-3389
Publisher: Sciendo
Keywords: Latent variables; Observed variables; Sports tourism economy; Structural equation modelling; VR technology
Depositing User: Ms. Nur Aina Ahmad Mustafa
Date Deposited: 23 Jan 2025 03:41
Last Modified: 23 Jan 2025 03:41
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.2478/amns-2024-3389
URI: http://psasir.upm.edu.my/id/eprint/114685
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