A fuzzy model for evaluating the level of satisfaction of tourists regarding accommodation establishments according to social class on the example of V4 countries

Škare, Marinko; Gavurová, Beáta; Polishchuk, Volodymyr; Nawazish, Mirza

dc.title	A fuzzy model for evaluating the level of satisfaction of tourists regarding accommodation establishments according to social class on the example of V4 countries	en
dc.contributor.author	Škare, Marinko
dc.contributor.author	Gavurová, Beáta
dc.contributor.author	Polishchuk, Volodymyr
dc.contributor.author	Nawazish, Mirza
dc.relation.ispartof	Technological Forecasting and Social Change
dc.identifier.issn	0040-1625 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.issn	1873-5509 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued	2023
utb.relation.volume	193
dc.type	article
dc.language.iso	en
dc.publisher	Elsevier Inc.
dc.identifier.doi	10.1016/j.techfore.2023.122609
dc.relation.uri	https://www.sciencedirect.com/science/article/pii/S0040162523002949
dc.relation.uri	https://www.sciencedirect.com/science/article/pii/S0040162523002949/pdfft?md5=592746138000acc660cb7bf9949269cc&pid=1-s2.0-S0040162523002949-main.pdf
dc.subject	social class	en
dc.subject	consumer marketing	en
dc.subject	accommodation establishments	en
dc.subject	fuzzy modeling	en
dc.subject	regional tourism	en
dc.description.abstract	The main goal of this study is to develop a fuzzy model for assessing the level of satisfaction of tourists with accommodation establishments according to social class using the example of V4 countries. The study aims to support decision-making regarding the assessment of the level of satisfaction of tourists from accommodation establishments according to social class, which reflects the individual and collective psychology of consumers. At the first stage of the model, according to the selected criteria, the level of satisfaction of tourists with accommodation establishments in the region is assessed, taking into account the social class of the tourist. Additionally, generalized estimates of the level of satisfaction of tourists from accommodation establishments in the regions are derived, based on which a ranking series of regions can be built. In the second stage, the degree of satisfaction with visiting accommodation establishments by a potential social class (tourist) in a certain region is predicted. Based on the output data, a decision is made regarding future scenarios to support the decision-making of interested parties, such as tourists, businesses, and public authorities.	en
utb.faculty	Faculty of Management and Economics
dc.identifier.uri	http://hdl.handle.net/10563/1011512
utb.identifier.obdid	43884490
utb.identifier.scopus	2-s2.0-85154566044
utb.identifier.wok	001004293200001
utb.source	j-scopus
dc.date.accessioned	2023-05-24T13:10:15Z
dc.date.available	2023-05-24T13:10:15Z
dc.description.sponsorship	Tomas Bata University in Zlin, TBU: FSR-S/2020/FaME/001
dc.description.sponsorship	Tomas Bata University in Zlin [FSR-S/2020/FaME/001]
utb.contributor.internalauthor	Gavurová, Beáta
utb.fulltext.affiliation	Marinko Skare a,b,, Beata Gavurova c, Volodymyr Polishchuk d, Mirza Nawazish e a Juraj Dobrila University of Pula, Faculty of Economics and Tourism Dr. Mijo Mirkovic, Zagrebacka 30, 52100 Pula, Croatia b University of Economics and Human Sciences in Warsaw, Okopowa 59, 01-043 Warszawa, Poland c Tomas Bata University in Zlin, Faculty of Management and Economics, Mostni 5139, 760 01 Zlin, Czech Republic d Uzhhorod National University, Faculty of Information Technology, Narodna Square, 3, 88000 Uzhhorod, Ukraine e Excelia Business School, La Rochelle, 102 Rue de Coureilles, 17000 La Rochelle, France Corresponding author at: Juraj Dobrila University of Pula, Faculty of Economics and Tourism Dr. Mijo Mirkovic, Zagrebacka 30, 52100 Pula, Croatia. E-mail addresses: mskare@unipu.hr (M. Skare), gavurova@utb.cz (B. Gavurova), volodymyr.polishchuk@uzhnu.edu.ua (V. Polishchuk), elahimn@excelia-group. com (M. Nawazish).
utb.fulltext.dates	Received 15 March 2023 Received in revised form 22 April 2023 Accepted 24 April 2023 Available online 4 May 2023
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utb.fulltext.sponsorship	This work was supported by Tomas Bata University in Zlin with the project no. FSR-S/2020/FaME/001.
utb.wos.affiliation	[Skare, Marinko] Juraj Dobrila Univ Pula, Fac Econ & Tourism Dr Mijo Mirkovic, Zagrebacka 30, Pula 52100, Croatia; [Skare, Marinko] Univ Econ & Human Sci Warsaw, Okopowa 59, PL-01043 Warsaw, Poland; [Gavurova, Beata] Tomas Bata Univ Zlin, Fac Management & Econ, Mostni 5139, Zlin 76001, Czech Republic; [Polishchuk, Volodymyr] Uzhgorod Natl Univ, Fac Informat Technol, Narodna Sq 3, UA-88000 Uzhgorod, Ukraine; [Nawazish, Mirza] Excelia Business Sch, 102 Rue Coureilles, F-17000 La Rochelle, France
utb.scopus.affiliation	Juraj Dobrila University of Pula, Faculty of Economics and Tourism Dr. Mijo Mirkovic, Zagrebacka 30, Pula, 52100, Croatia; University of Economics and Human Sciences in Warsaw, Okopowa 59, Warszawa, 01-043, Poland; Tomas Bata University in Zlin, Faculty of Management and Economics, Mostni 5139, Zlin, 760 01, Czech Republic; Uzhhorod National University, Faculty of Information Technology, Narodna Square, 3, Uzhhorod, 88000, Ukraine; Excelia Business School, La Rochelle, 102 Rue de Coureilles, La Rochelle, 17000, France
utb.fulltext.projects	FSR-S/2020/FaME/001
utb.fulltext.faculty	Faculty of Management and Economics
utb.fulltext.ou	-