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dc.contributor.authorGutiérrez Taño, Desiderio
dc.contributor.authorBaute Díaz, Nisamar
dc.contributor.authorDíaz Armas, Ricardo
dc.contributor.otherDirección de Empresas e Historia Económica
dc.date.accessioned2024-10-14T20:07:36Z
dc.date.available2024-10-14T20:07:36Z
dc.date.issued2022
dc.identifier.issn3443-3460
dc.identifier.urihttp://riull.ull.es/xmlui/handle/915/39599
dc.description.abstractThe purpose of this study is to determine guest misreport sources in Airbnb reviews. Previous studies have signalled the existence of positive bias in reviews. Here we examine the relationship between misreporting and the following factors: reciprocity, attachment, tolerance threshold, strategic behaviour and social influence. The results, obtained from a sample of 815 Airbnb users who reviewed their experience on the platform, show that the strategic behaviour of guests as well as their social influence are directly related to misreporting on Airbnb. Individual attachment is indirectly related to misreporting through the tolerance threshold. This study develops and tests a structural model which explains the factors that lead guests on the platform to misreport their actual experiences.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.relation.ispartofseriesCurrent Issues In Tourism, 2022, Vol. 25, Nº 21
dc.rightsNo autorizo la publicación del documento
dc.rightsinfo:eu-repo/semantics/openAccess
dc.titleWhat drives guests to misreport their experiences on Airbnb? A structural equation modelling approach
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.1080/13683500.2020.1777949
dc.subject.keywordReputation system
dc.subject.keywordAirbnb
dc.subject.keywordreporting bias
dc.subject.keywordpeer-to-peer accommodation
dc.subject.keywordSEM


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