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Revolutionizing travel: The role of smart tourism technologies in enhancing tourist satisfaction and shaping sustainable destination images: Insights from Istanbul

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dc.title Revolutionizing travel: The role of smart tourism technologies in enhancing tourist satisfaction and shaping sustainable destination images: Insights from Istanbul en
dc.contributor.author Czyz, Meryem
dc.contributor.author Javed, Mohsin
dc.relation.ispartof Geojournal of Tourism and Geosites
dc.identifier.issn 2065-0817 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2025
utb.relation.volume 58
utb.relation.issue 1
dc.citation.spage 446
dc.citation.epage 455
dc.type article
dc.language.iso en
dc.publisher Editura Universitatii din Oradea
dc.identifier.doi 10.30892/gtg.58141-1426
dc.relation.uri https://gtg.webhost.uoradea.ro/PDF/GTG-1-2025/gtg.58141-1426.pdf
dc.subject accessibility en
dc.subject information en
dc.subject interactivity en
dc.subject Istanbul en
dc.subject personalization en
dc.subject security en
dc.subject smart tourism technologies en
dc.subject sustainable destination image en
dc.subject tourist experience satisfaction en
dc.subject Türkiye en
dc.description.abstract Smart tourism technologies (STT) play a crucial role in enhancing traveler experiences by providing personalized, efficient, and data-driven services. Such technologies help tourism firms to optimize resource management, improve accessibility, and foster innovation in the industry. Keeping in view such an enhanced significance, this paper explores the role of smart tourism technologies (STT) on the perceived value experience of STT, tourists’ experience satisfaction, and the sustainable image of a famous tourist destination. The role of smart tourism technologies was assessed by their attributes, i.e., information, accessibility, interactivity, personalization, and security to propose the research model and do exploration of the revolutionized travel experiences. The survey method is used to collect data from 142 tourists of Istanbul, a city in Türkiye, and analyze by Partial Least Square-Structural Equation Modeling (PLS-SEM). Results indicate that tourists place more value on what they perceive from smart tourism technologies. The measurement model has good reliability and validity. The structural model indicates the significance of relationships of smart tourism technologies (STT). The perceived smart tourism technologies experience has a significant impact on travel experience satisfaction, and tourist experience satisfaction has a significant impact on sustainable destination image. The exploration of the STT attributes towards tourist experience satisfaction and sustainable destination image through the proposed model are theoretical contribution. The availability of accurate, reliable information through user-friendly smart apps and websites with better personalization features to enhance tourists' experiences are the practical implications. The limitations of the study and directions for further research are discussed and presented in the conclusion. en
utb.faculty Faculty of Management and Economics
dc.identifier.uri http://hdl.handle.net/10563/1012424
utb.identifier.scopus 2-s2.0-105001352651
utb.source j-scopus
dc.date.accessioned 2025-05-09T08:50:19Z
dc.date.available 2025-05-09T08:50:19Z
dc.description.sponsorship RVO project of FaME; Tomas Bata University in Zlín, TBU, (RO/FaME/2024/07); Tomas Bata University in Zlín, TBU; Finance Authority of Maine, FAME, (IGA/FaME/2023/017); Finance Authority of Maine, FAME
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.access openAccess
utb.ou Department of Business Administration
utb.contributor.internalauthor Czyz, Meryem
utb.contributor.internalauthor Javed, Mohsin
utb.fulltext.sponsorship The financial assistance is provided by the RVO project of FaME, TBU No. RO/FaME/2024/07 and Internal Grand Agency project of FaME, TBU No. IGA/FaME/2023/017.
utb.fulltext.sponsorship The authors are grateful for the financial assistance provided by the RVO project of FaME, TBU No. RO/FaME/2024/07 and the Internal Grant Agency project of FaME, TBU No. IGA/FaME/2023/017.
utb.scopus.affiliation Tomas Bata University in Zlin, Faculty of Management and Economics, Department of Business Administration, Zlín, Czech Republic
utb.fulltext.projects RO/FaME/2024/07
utb.fulltext.projects IGA/FaME/2023/017
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Attribution-NonCommercial-NoDerivatives 4.0 International Kromě případů, kde je uvedeno jinak, licence tohoto záznamu je Attribution-NonCommercial-NoDerivatives 4.0 International