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dc.contributor.authorBalomenou, Nika
dc.contributor.authorGarrod, Brian
dc.contributor.authorGeorgiadou, Andri
dc.date.accessioned2017-08-03T14:13:31Z
dc.date.available2017-08-03T14:13:31Z
dc.date.issued2017-08-01
dc.identifier.citationBalomenou , N , Garrod , B & Georgiadou , A 2017 , ' Making sense of tourists' photographs using canonical variate analysis. ' , Tourism Management , vol. 61 , pp. 173-179 . https://doi.org/10.1016/j.tourman.2017.02.010
dc.identifier.issn0261-5177
dc.identifier.otherPURE: 10524750
dc.identifier.otherPURE UUID: d64fe113-304d-4c32-8c94-8cb18d1c8613
dc.identifier.otherScopus: 85013080229
dc.identifier.otherORCID: /0000-0001-7644-5143/work/37285608
dc.identifier.urihttp://hdl.handle.net/2299/19107
dc.descriptionThis document is the Accepted Manuscript version of the following article: Nika Balomenou, Brian Garrod, and Andri Georgiadou, ‘Making sense of tourists’ photographs using canonical variate analysis’, Tourism Management, Vol. 61: 173-179, August 2017, doi: https://doi.org/10.1016/j.tourman.2017.02.010. Under embargo. Embargo end date: 20 February 2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ Published by Elsevier.
dc.description.abstractTourists’ photographs can be a rich database for researchers wishing to study tourists’ perceptions and attitudes towards destinations. Such data can also be useful in examining how tourists behave, where, when, with whom and why. Many researchers favour the qualitative analysis of such data, which requires the use either of relatively small numbers of photographs or a considerable expense of researcher time and effort to undertake. Much of this process is speculative, in that it involves working with variables which may or may not prove to be significant in addressing the hypotheses set for the research. This research note recommends the use of a preliminary phase of research in which a quantitative approach is used to reduce the number of variables needing to be coded. Canonical variate analysis is suggested as an appropriate tool for achieving this. Case study results are presented to demonstrate the utility of this approach.en
dc.format.extent7
dc.language.isoeng
dc.relation.ispartofTourism Management
dc.subjecttourists
dc.subjectphotographs
dc.subjectcanonical variate analysis
dc.subjectdimensionality reduction
dc.subjectTourism, Leisure and Hospitality Management
dc.titleMaking sense of tourists' photographs using canonical variate analysis.en
dc.contributor.institutionHertfordshire Business School
dc.contributor.institutionDepartment of Marketing and Enterprise
dc.contributor.institutionCentre for Research on Management, Economy and Society
dc.contributor.institutionEnterprise and Value Research Group
dc.contributor.institutionDepartment of Management, Leadership and Organisation
dc.contributor.institutionGlobal Work and Employment
dc.description.statusPeer reviewed
dc.date.embargoedUntil2019-02-20
rioxxterms.versionAM
rioxxterms.versionofrecordhttps://doi.org/10.1016/j.tourman.2017.02.010
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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