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dc.contributor.authorLiu, Y
dc.contributor.authorHsiao, A
dc.contributor.authorMa, E
dc.date.accessioned2021-03-31T02:33:42Z
dc.date.available2021-03-31T02:33:42Z
dc.date.issued2020
dc.identifier.issn1096-3480en_US
dc.identifier.doi10.1177/1096348020962564en_US
dc.identifier.urihttp://hdl.handle.net/10072/403515
dc.description.abstractDespite the abundance in methodologies for tourism demand modeling, most methods examine demand growth levels rather than growth patterns. The latter, however, can be of great value for destination management to minimize business risks and for authorities to prescribe effective policies. Meanwhile, describing demand growth as a simplex S-shaped life-cycle curve may oversimplify the heterogeneity in visitor flows. There is thus a need for methods that can identify market segments based on demand growth patterns to enable smart destination management strategies and provide theoretical insights. This article introduces a longitudinal profile analysis via multidimensional scaling (LPAMS) as an effective and easy to implement data-driven segmentation tool. This practitioner-friendly quantitative analytic tool is justified in the theoretical background of embracing complexity in business research, data disaggregation, and modeling interdependence in tourism forecasting. The conceptual and procedural details of LPAMS are explained at a level that is comfortably understood by researchers and practitioners, together with methodological comparisons with conventional methods. A demonstration of LPAMS is presented to identify five typical annual arrivals’ growth patterns of Australia’s 43 main inbound markets over 1991-2016. This study contributes to the methodologies for longitudinal tourism demand analysis and market segmentation techniques.en_US
dc.description.peerreviewedYesen_US
dc.languageenen_US
dc.publisherSAGE Publicationsen_US
dc.relation.ispartofjournalJournal of Hospitality and Tourism Researchen_US
dc.subject.fieldofresearchBusiness and Managementen_US
dc.subject.fieldofresearchCommercial Servicesen_US
dc.subject.fieldofresearchTourismen_US
dc.subject.fieldofresearchcode1503en_US
dc.subject.fieldofresearchcode1504en_US
dc.subject.fieldofresearchcode1506en_US
dc.titleSegmenting Tourism Markets Based on Demand Growth Patterns: A Longitudinal Profile Analysis Approachen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Articlesen_US
dcterms.bibliographicCitationLiu, Y; Hsiao, A; Ma, E, Segmenting Tourism Markets Based on Demand Growth Patterns: A Longitudinal Profile Analysis Approach, Journal of Hospitality and Tourism Research, 2020en_US
dc.date.updated2021-03-30T06:39:23Z
gro.description.notepublicThis publication has been entered as an advanced online version in Griffith Research Online.en_US
gro.hasfulltextNo Full Text
gro.griffith.authorHsiao, Aaron A.


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