Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/90422
PIRA download icon_1.1View/Download Full Text
DC FieldValueLanguage
dc.contributorDepartment of Building Services Engineeringen_US
dc.creatorHan, Den_US
dc.creatorHou, HCen_US
dc.creatorWu, Hen_US
dc.creatorLai, JHKen_US
dc.date.accessioned2021-07-06T02:42:00Z-
dc.date.available2021-07-06T02:42:00Z-
dc.identifier.urihttp://hdl.handle.net/10397/90422-
dc.language.isoenen_US
dc.publisherMolecular Diversity Preservation International (MDPI)en_US
dc.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/).en_US
dc.rightsThe 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/su13084462en_US
dc.subjectExperience-enhancement smart technologyen_US
dc.subjectHotelen_US
dc.subjectStructural equation modellingen_US
dc.subjectTechnology acceptance modelen_US
dc.subjectTouristen_US
dc.titleModelling tourists’ acceptance of hotel experience-enhancement smart technologiesen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume13en_US
dc.identifier.issue8en_US
dc.identifier.doi10.3390/su13084462en_US
dcterms.abstractWhereas 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.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationSustainability, Apr. 2021, v. 13, no. 8, 4462en_US
dcterms.isPartOfSustainabilityen_US
dcterms.issued2021-04-
dc.identifier.scopus2-s2.0-85104952638-
dc.identifier.eissn2071-1050en_US
dc.identifier.artn4462en_US
dc.description.validate202107 bcvcen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumbera0950-n03-
dc.description.fundingSourceSelf-fundeden_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
Appears in Collections:Journal/Magazine Article
Files in This Item:
File Description SizeFormat 
sustainability-13-04462-v2.pdf1.18 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Page views

142
Last Week
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.