Online tourism information and tourist behavior: a structural equation modeling analysis based on a self-administered survey
Journal article
Majeed, Salman, Zhou, Zhimin, Lu, Changbao and Ramkissoon, Haywantee 2020. Online tourism information and tourist behavior: a structural equation modeling analysis based on a self-administered survey. Frontiers Media. https://doi.org/10.3389/fpsyg.2020.00599
| Authors | Majeed, Salman, Zhou, Zhimin, Lu, Changbao and Ramkissoon, Haywantee |
|---|---|
| Abstract | This study presents the interacting phenomena of perceptions of tourist destination online content (TDOC) and tourists’ behavioral intentions with a mediating role of tourists’ satisfaction, which is as yet under-explored in hospitality and tourism research. A model based on three main constructs, namely TDOC (with sub-constructs of online information quality and user-friendly accessibility), satisfaction, and tourists’ behavioral intentions [with sub-constructs of intentions to visit a tourist destination and electronic word-of-mouth (eWOM)], is presented to determine the growth of tourism business with the internet. Data were collected via a questionnaire-based survey from 413 tourists staying at hotels in Lahore city in Pakistan. Partial least square structural equation modeling was used to statistically analyze the gathered data. The findings indicate that tourists’ perceptions of TDOC directly influence their behavioral intentions, while tourists’ satisfaction exerts a mediating influence between tourists’ perceptions of TDOC and their behavioral intentions. Taking advantage of an economical and widespread online environment, destination marketing organizations could attract more tourists by fostering confidence in TDOC and positive eWOM to remain competitive in the long run. Important theoretical and practical implications are discussed. |
| Keywords | Online tourist information; tourist behaviour; tourist satisfaction |
| Year | 2020 |
| Journal | Frontiers Media |
| Publisher | Frontiers in Psychology |
| ISSN | 1664-1078 |
| Digital Object Identifier (DOI) | https://doi.org/10.3389/fpsyg.2020.00599 |
| Web address (URL) | http://hdl.handle.net/10545/624735 |
| hdl:10545/624735 | |
| Publication dates | 21 Apr 2020 |
| Publication process dates | |
| Deposited | 27 Apr 2020, 10:57 |
| Accepted | 12 Mar 2020 |
| Contributors | Shenzhen University, Shenzhen, China, Fuzhou University, Fuzhou, China, University of Derby, Monash University, Melbourne, VIC, Australia, The Arctic University of Norway, Tromsø, Norway and University of Johannesburg, Johannesburg, South Africa |
| File | File Access Level Open |
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