Online Reservation Intention of Tourist Attractions in the COVID-19 Context: An Extended Technology Acceptance Model

Yuzong Zhao (), Hui Wang, Zhen Guo (), Mingli Huang, Yongtao Pan and Yongrui Guo
Additional contact information
Yuzong Zhao: School of Tourism and Geography Science, Qingdao University, Qingdao 266071, China
Hui Wang: School of Tourism and Geography Science, Qingdao University, Qingdao 266071, China
Zhen Guo: Shenzhen Tourism College, Jinan University, Shenzhen 518053, China
Mingli Huang: College of Environmental Science and Engineering, Qingdao University, Qingdao 266071, China
Yongtao Pan: School of Tourism and Geography Science, Qingdao University, Qingdao 266071, China
Yongrui Guo: School of Tourism and Geography Science, Qingdao University, Qingdao 266071, China

Sustainability, 2022, vol. 14, issue 16, 1-17

Abstract: Travel reservation is an important way to improve tourist experiences and digitally manage tourist attractions in the COVID-19 context. However, few studies have focused on the online reservation intentions of tourist attractions and its influencing factors. Based on the theory of the technology acceptance model (TAM), two variables (perceived risk and government policy) are introduced to expand on the theoretical model. This study investigates the influence of subjective norms, government policy, perceived usefulness, perceived ease of use, and perceived risk on reservation intentions of tourist attractions. An online survey was conducted in China, and 255 questionnaires were collected. The data were analysed using SPSS 26.0 and AMOS 28.0 to construct a structural equation modelling and analyse the path. The findings show that (1) subjective norms have no significant impact on reservation behaviours under voluntary situations; (2) perceived usefulness positively affects tourists’ reservation intention; and (3) perceived risk has a significant negative impact on reservation intention, and government policy is the main factor affecting tourists’ reservation intentions. These findings enhance the understanding of tourists’ reservation intentions and extend the TAM theory. From the practice perspective, tourist attraction operators should continue to strengthen the construction of the reservation system, improve tourists’ experiences, reduce the perceived risk of tourists, and other stakeholders such as the government should strengthen cooperation, promote the reservation system, and create a good reservation atmosphere.

Keywords: reservation intentions; tourist attraction reservation; technology acceptance model (TAM); perceived risk; government policy; structural equation modelling (SEM) (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/2071-1050/14/16/10395/pdf (application/pdf)
https://www.mdpi.com/2071-1050/14/16/10395/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:14:y:2022:i:16:p:10395-:d:893921

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().