Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/65970
PIRA download icon_1.1View/Download Full Text
DC FieldValueLanguage
dc.contributorSchool of Hotel and Tourism Management-
dc.creatorWu, DC-
dc.creatorSong, H-
dc.creatorShen, S-
dc.date.accessioned2017-05-22T02:09:30Z-
dc.date.available2017-05-22T02:09:30Z-
dc.identifier.issn0959-6119-
dc.identifier.urihttp://hdl.handle.net/10397/65970-
dc.language.isoenen_US
dc.publisherEmerald Group Publishing Limiteden_US
dc.rights© Emerald Publishing Limited. This AAM is provided for your own personal use only. It may not be used for resale, reprinting, systematic distribution, emailing, or for any other commercial purpose without the permission of the publisher.en_US
dc.rightsThe following publication Wu, D.C., Song, H. and Shen, S. (2017), "New developments in tourism and hotel demand modeling and forecasting", International Journal of Contemporary Hospitality Management, Vol. 29 No. 1, pp. 507-529 is published by Emerald and is available at https://doi.org/10.1108/IJCHM-05-2015-0249.en_US
dc.subjectMethodological developmenten_US
dc.subjectModelling and forecastingen_US
dc.subjectTourism and hotel demanden_US
dc.titleNew developments in tourism and hotel demand modeling and forecastingen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage507-
dc.identifier.epage529-
dc.identifier.volume29-
dc.identifier.issue1-
dc.identifier.doi10.1108/IJCHM-05-2015-0249-
dcterms.abstractPurpose: The purpose of this paper is to review recent studies published from 2007 to 2015 on tourism and hotel demand modeling and forecasting with a view to identifying the emerging topics and methods studied and to pointing future research directions in the field.-
dcterms.abstractDesign/methodology/approach: Articles on tourism and hotel demand modeling and forecasting published mostly in both science citation index and social sciences citation index journals were identified and analyzed.-
dcterms.abstractFindings: This review finds that the studies focused on hotel demand are relatively less than those on tourism demand. It is also observed that more and more studies have moved away from the aggregate tourism demand analysis, whereas disaggregate markets and niche products have attracted increasing attention. Some studies have gone beyond neoclassical economic theory to seek additional explanations of the dynamics of tourism and hotel demand, such as environmental factors, tourist online behavior and consumer confidence indicators, among others. More sophisticated techniques such as nonlinear smooth transition regression, mixed-frequency modeling technique and nonparametric singular spectrum analysis have also been introduced to this research area.-
dcterms.abstractResearch limitations/implications: The main limitation of this review is that the articles included in this study only cover the English literature. Future review of this kind should also include articles published in other languages. The review provides a useful guide for researchers who are interested in future research on tourism and hotel demand modeling and forecasting.-
dcterms.abstractPractical implications: This review provides important suggestions and recommendations for improving the efficiency of tourism and hospitality management practices.-
dcterms.abstractOriginality/value: The value of this review is that it identifies the current trends in tourism and hotel demand modeling and forecasting research and points out future research directions.-
dcterms.accessRightsopen access-
dcterms.bibliographicCitationInternational journal of contemporary hospitality management, 2017, v. 29, no. 1, p. 507-529-
dcterms.isPartOfInternational journal of contemporary hospitality management-
dcterms.issued2017-
dc.identifier.scopus2-s2.0-85010064622-
dc.identifier.ros2016001960-
dc.identifier.eissn1757-1049-
dc.identifier.rosgroupid2016001924-
dc.description.ros2016-2017 > Academic research: refereed > Publication in refereed journal-
dc.description.validate201804_a bcma-
dc.description.oaAccepted Manuscript-
dc.identifier.FolderNumbera0681-n07-
dc.identifier.SubFormID886-
dc.description.fundingSourceRGC-
dc.description.fundingTextPolyU 5969/13H-
dc.description.pubStatusPublished-
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Journal/Magazine Article
Files in This Item:
File Description SizeFormat 
a0681-n07_886_13.pdfPre-Published version1.41 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Final Accepted Manuscript
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Page views

202
Last Week
3
Last month
Citations as of Apr 14, 2025

Downloads

159
Citations as of Apr 14, 2025

SCOPUSTM   
Citations

270
Last Week
6
Last month
Citations as of Sep 12, 2025

WEB OF SCIENCETM
Citations

202
Last Week
0
Last month
Citations as of Oct 10, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.