Determination of attributes affecting price-performance using fuzzy rule-based systems: online ratings of hotels by travel 2.0 users

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dc.contributor.authorDoğan, Seden
dc.contributor.authorBaşaran, Murat Alper
dc.contributor.authorKantarcı, Kemal
dc.date.accessioned2021-02-19T21:16:10Z
dc.date.available2021-02-19T21:16:10Z
dc.date.issued2020
dc.departmentALKÜ
dc.descriptionDogan, Seden/0000-0001-8547-7702
dc.description.abstractPurpose Fuzzy rule-based system (FRBS), a soft computing method used for big data analysis, is used to determine which single hotel attribute or interrelated hotel attributes used in Travel 2.0 data play a role on price-performance (PP). Design/methodology/approach FRBS, based on fuzzy set theory, is used using the data set of four- and five-star hotels in the Alanya destination in Turkey collected from HolidayCheck.de website for the period between 2009 and 2016. Findings Single attributes do not have an impact on PP. At least two or more attributes are necessary to have an impact on PP. Compensations among attributes that are observed to be leading to PP not to change from their current level. Instead of assuming a linear relationship between hotel attributes and PP, non-linearity should often be assumed. In addition, some hotel attributes do not have an impact on PP until some other attribute reaches a certain level. Research limitations/implications The limitations of this research can be grouped under two topics. While the first is related to data, which is German-speaking tourists staying at four- and five-star hotels between 2009 and 2016, the second is the limitation on generalizability. By implementing other types of data related to hotel attributes, new insights can be generated to shed light on different aspects of the relationship between hotel attributes and PP or other measures such as overall evaluation. Originality/value A data-driven model called FRBS is constructed using original verbal statements. Novel insights pertinent to relations between hotel attributes and PP have been extracted. Keywords:Travel 2.0, Fuzzy set theory, Fuzzy set theory, Hotels in Alanya, Consumer generated
dc.identifier.doi10.1108/JHTT-07-2018-0067
dc.identifier.endpage311en_US
dc.identifier.issn1757-9880
dc.identifier.issn1757-9899
dc.identifier.issue2en_US
dc.identifier.scopusqualityQ1
dc.identifier.startpage291en_US
dc.identifier.urihttps://doi.org/10.1108/JHTT-07-2018-0067
dc.identifier.urihttps://hdl.handle.net/20.500.12868/288
dc.identifier.volume11en_US
dc.identifier.wosWOS:000545562500001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthor0-belirlenecek
dc.language.isoen
dc.publisherEmerald Group Publishing Ltd
dc.relation.ispartofJournal of Hospitality And Tourism Technology
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.titleDetermination of attributes affecting price-performance using fuzzy rule-based systems: online ratings of hotels by travel 2.0 users
dc.typeArticle

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