DC FieldValueLanguage
dc.contributor.authorSpyridakos, Athanasios-
dc.contributor.authorZisos, Ioannis-
dc.contributor.authorGrigoroudis, Evangelos-
dc.contributor.authorMatsatsinis, Nikolaos-
dc.date.accessioned2024-04-03T11:39:40Z-
dc.date.available2024-04-03T11:39:40Z-
dc.date.issued2018-
dc.identifiergoogle_scholar-RYCK4TcAAAAJ:Y0pCki6q_DkC-
dc.identifier.issn2050-6996-
dc.identifier.otherRYCK4TcAAAAJ:Y0pCki6q_DkC-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/1743-
dc.description.abstractOnline ratings and reviews are currently considered as extremely effective tools for tourism professionals. Current research reveals that they affect, like no advertisement does, guests' vacation decisions. In this paper we build on existing large scale-survey on customers' ratings to explore the determinants of tourists' satisfaction in different hotel categories. The application of the MUSA method to online reviews has resulted in valuable conclusions regarding the quality of provided services, the identification of factors that influence customers' satisfaction, and the prioritisation of improvement that can improve customers' satisfaction levels. Data are taken from the popular hotel booking website Hotels.com and the case study examines available hotels in Chania, Greece. The final recommendations have been mainly based on the estimated global and partial value functions, the criteria weights, and the average satisfaction, demanding, and improvement indices, as provided by the MUSA method.en_US
dc.language.isoenen_US
dc.publisherInderscience Publishers (IEL)en_US
dc.relation.ispartofInternational Journal of Decision Support Systemsen_US
dc.sourceInternational Journal of Decision Support Systems 3 (3-4), 238-262, 2018-
dc.subjectOnline ratingsen_US
dc.subjectMUSA methoden_US
dc.subjectHotelsen_US
dc.subjectTourist satisfactionen_US
dc.subjectMulticriteria decision analysisen_US
dc.subjectImprovement priorities,en_US
dc.subjectReviewsen_US
dc.subjectData miningen_US
dc.subjectHot deck imputationen_US
dc.titleDiving into online ratings to determine hotels' improvement prioritiesen_US
dc.typeArticleen_US
dc.identifier.doi10.1504/IJDSS.2018.100191en_US
dc.relation.deptDepartment of Business Administrationen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.relation.volume3en_US
dc.relation.issue3-4en_US
dc.identifier.spage238en_US
dc.identifier.epage262en_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.journalsOpen Accessen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
local.metadatastatusverifieden_US
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.openairetypeArticle-
item.languageiso639-1en-
item.grantfulltextnone-
crisitem.author.deptDepartment of Business Administration-
crisitem.author.deptDepartment of Business Administration-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
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