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Pregled bibliografske jedinice broj: 1276765

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


(Tomas Bata University in Zlin, Faculty of Management and Economics, Uzhhorod National University, Faculty of Information Technology, Excelia Business School, La Rochelle) Skare, Marinko; Gavurova, Beata; Polishchuk, Volodymyr; Nawazish, Mirza
A fuzzy model for evaluating the level of satisfaction of tourists regarding accommodation establishments according to social class on the example of V4 countries // Technological Forecasting and Social Change, 193 (2023), 122609, 11 doi:10.1016/j.techfore.2023.122609 (međunarodna recenzija, članak, znanstveni)


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

Autori
Skare, Marinko ; Gavurova, Beata ; Polishchuk, Volodymyr ; Nawazish, Mirza

Kolaboracija
Tomas Bata University in Zlin, Faculty of Management and Economics, Uzhhorod National University, Faculty of Information Technology, Excelia Business School, La Rochelle

Izvornik
Technological Forecasting and Social Change (0040-1625) 193 (2023); 122609, 11

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Social class ; Consumer marketing ; Accommodation establishments ; Fuzzy modeling ; Regional tourism

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Matematika, Ekonomija



POVEZANOST RADA


Ustanove:
Sveučilište Jurja Dobrile u Puli

Profili:

Avatar Url Marinko Škare (autor)

Poveznice na cjeloviti tekst rada:

doi www.sciencedirect.com

Citiraj ovu publikaciju:

(Tomas Bata University in Zlin, Faculty of Management and Economics, Uzhhorod National University, Faculty of Information Technology, Excelia Business School, La Rochelle) Skare, Marinko; Gavurova, Beata; Polishchuk, Volodymyr; Nawazish, Mirza
A fuzzy model for evaluating the level of satisfaction of tourists regarding accommodation establishments according to social class on the example of V4 countries // Technological Forecasting and Social Change, 193 (2023), 122609, 11 doi:10.1016/j.techfore.2023.122609 (međunarodna recenzija, članak, znanstveni)
(Tomas Bata University in Zlin, Faculty of Management and Economics, Uzhhorod National University, Faculty of Information Technology, Excelia Business School, La Rochelle) (Tomas Bata University in Zlin, Faculty of Management and Economics, Uzhhorod National University, Faculty of Information Technology, Excelia Business School, La Rochelle) Skare, Marinko, Gavurova, B., Polishchuk, V. & Nawazish, M. (2023) A fuzzy model for evaluating the level of satisfaction of tourists regarding accommodation establishments according to social class on the example of V4 countries. Technological Forecasting and Social Change, 193, 122609, 11 doi:10.1016/j.techfore.2023.122609.
@article{article, author = {Skare, Marinko and Gavurova, Beata and Polishchuk, Volodymyr and Nawazish, Mirza}, year = {2023}, pages = {11}, DOI = {10.1016/j.techfore.2023.122609}, chapter = {122609}, keywords = {Social class, Consumer marketing, Accommodation establishments, Fuzzy modeling, Regional tourism}, journal = {Technological Forecasting and Social Change}, doi = {10.1016/j.techfore.2023.122609}, volume = {193}, issn = {0040-1625}, 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}, keyword = {Social class, Consumer marketing, Accommodation establishments, Fuzzy modeling, Regional tourism}, chapternumber = {122609} }
@article{article, author = {Skare, Marinko and Gavurova, Beata and Polishchuk, Volodymyr and Nawazish, Mirza}, year = {2023}, pages = {11}, DOI = {10.1016/j.techfore.2023.122609}, chapter = {122609}, keywords = {Social class, Consumer marketing, Accommodation establishments, Fuzzy modeling, Regional tourism}, journal = {Technological Forecasting and Social Change}, doi = {10.1016/j.techfore.2023.122609}, volume = {193}, issn = {0040-1625}, 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}, keyword = {Social class, Consumer marketing, Accommodation establishments, Fuzzy modeling, Regional tourism}, chapternumber = {122609} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Social Science Citation Index (SSCI)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati:





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