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https://ruomo.lib.uom.gr/handle/7000/1741
Τίτλος: | User-Generated Content behavior and digital tourism services: A SEM-neural network model for information trust in social networking sites |
Συγγραφείς: | Kitsios, Fotis Mitsopoulou, Eleftheria Moustaka, Eleni Kamariotou, Maria |
Τύπος: | Article |
Θέματα: | FRASCATI::Engineering and technology FRASCATI::Social sciences |
Λέξεις-Κλειδιά: | Social networking sites Tourism Travel information User-Generated Content Perceived value |
Ημερομηνία Έκδοσης: | Απρ-2022 |
Πηγή: | International Journal of Information Management Data Insights |
Τόμος: | 2 |
Τεύχος: | 1 |
Πρώτη Σελίδα: | 100056 |
Επιτομή: | Social media and User-Generated Content contribute to the hospitality sector. Consumers usually post reviews, suggestions, or judgements on hotel booking websites regarding their accommodation during their travel and afterward. This article investigates the determinants that affect users’ trust in shared information related to travel acquired from social media or tourism sites. Data was obtained from 266 SNS users. Data was analyzed using both the Structural Equation Model (SEM) and the neural network model. Results show that perceived enjoyment and perceived value were the most critical factors that affected SNS users’ trust in the shared information about travel from social media or tourism sites. This paper provides valuable insight into travelers’ behavior and managerial implications of sharing information from SNS. From SNS, tourism managers should increase the delightful and fulfilling features of their websites to gain more shared information about travel. |
URI: | https://doi.org/10.1016/j.jjimei.2021.100056 https://ruomo.lib.uom.gr/handle/7000/1741 |
ISSN: | 2667-0968 |
Αλλοι Προσδιοριστές: | 10.1016/j.jjimei.2021.100056 |
Εμφανίζεται στις Συλλογές: | Τμήμα Εφαρμοσμένης Πληροφορικής |
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Αρχείο | Περιγραφή | Μέγεθος | Μορφότυπος | |
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User-Generated Content behavior and digital tourism services_A SEM-neural network model for information trust in social networking sites.pdf | 840,11 kB | Adobe PDF | Προβολή/Ανοιγμα |
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