Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/90422
| Title: | Modelling tourists’ acceptance of hotel experience-enhancement smart technologies | Authors: | Han, D Hou, HC Wu, H Lai, JHK |
Issue Date: | Apr-2021 | Source: | Sustainability, Apr. 2021, v. 13, no. 8, 4462 | Abstract: | Whereas the use of specific smart technologies in various sectors of the tourism industry has been under greater scrutiny in recent years, research that investigates tourists’ acceptance of smart technologies applied as a whole to hotels is largely underexplored. To address this shortfall, a study with a focus on tourists’ acceptance of experience-enhancement smart technologies has been conducted. A technology acceptance model based conceptual framework was developed, followed by a series of interviews with the managerial staff of ten hotels in Hong Kong that adopt experience-enhancement smart technologies. Based on the interview findings, a questionnaire was designed for use in a survey in which data were collected face-to-face from 312 tourists. Structural equation modelling was utilised to reveal the interrelationships between nine technology acceptance parameters. This study contributes knowledge to both real-world practice and research in tourism management. | Keywords: | Experience-enhancement smart technology Hotel Structural equation modelling Technology acceptance model Tourist |
Publisher: | Molecular Diversity Preservation International (MDPI) | Journal: | Sustainability | EISSN: | 2071-1050 | DOI: | 10.3390/su13084462 | Rights: | © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). The following publication Han, D.; Hou, H.; Wu, H.; Lai, J.H.K. Modelling Tourists’ Acceptance of Hotel Experience-Enhancement Smart Technologies. Sustainability 2021, 13, 4462 is available at https://doi.org/10.3390/su13084462 |
| Appears in Collections: | Journal/Magazine Article |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| sustainability-13-04462-v2.pdf | 1.18 MB | Adobe PDF | View/Open |
Page views
142
Last Week
4
4
Last month
Citations as of Nov 10, 2025
Downloads
77
Citations as of Nov 10, 2025
SCOPUSTM
Citations
29
Citations as of Dec 19, 2025
WEB OF SCIENCETM
Citations
20
Citations as of Dec 18, 2025
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.



