Evaluation of the persuasive features of hotel chains websites: A latent class segmentation analysis

dc.contributor.authorDíaz, Estrellanull
dc.contributor.authorKoutra, Christinanull
dc.date.accessioned2019-02-07T13:06:36Znull
dc.date.accessioned2023-08-20T10:56:55Z
dc.date.available2019-02-07T13:06:36Znull
dc.date.available2023-08-20T10:56:55Z
dc.date.issued2013-09null
dc.descriptionDíaz, E., & Koutra, C. (2013). Evaluation of the persuasive features of hotel chains websites: A latent class segmentation analysis. International Journal of Hospitality Management, 34, 338-347.en_US
dc.description.abstractThis paper is a contribution to the literature on the evaluation of the persuasive features of hotel chains websites. The paper first separates hotel chains according to their category (luxury, midscale and economy) and then proceeds to segment hotel chains in types according to the persuasiveness of their websites, using latent class segmentation. In order to achieve these objectives, it was necessary to evaluate six dimensions of website persuasiveness (informativeness, usability, credibility, inspiration, involvement and reciprocity). The methodology used is based on the analysis of a sample of 229 hotel chains websites. The results obtained allow to describe significant differences in the degree of persuasiveness displayed by the websites. The results of the latent class cluster analysis suggested that the four-cluster solution was the most coherent. This paper provides evidence of current website persuasiveness and communication, and advice for its improvement in a specific hotel industry.en_US
dc.identifier.citationhttps://adu.on.worldcat.org/oclc/4936681483en_US
dc.identifier.doihttps://doi.org/10.1016/j.ijhm.2012.11.009null
dc.identifier.urihttps://edms.wexl.in/handle/1/1537
dc.language.isoenen_US
dc.publisherPergamonen_US
dc.subjectWebsites hotel industryen_US
dc.subjectPersuasivenessen_US
dc.subjectLatent class segmentationen_US
dc.subjectContent analysisen_US
dc.titleEvaluation of the persuasive features of hotel chains websites: A latent class segmentation analysisen_US
dc.title.alternativeInternational Journal of Hospitality Managementen_US
dc.typeArticleen_US

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