AI Impact on Hotel Guest Satisfaction via Tailor-Made Services: A Case Study of Serbia and Hungary

This study examines the level of implementation of artificial intelligence (AI) in the personalization of hotel services and its impact on guest satisfaction through an analysis of tourists’ attitudes and behaviors The focus of the research is on how personalized recommendations for food and beverages, activities, and room services, delivered by trustworthy AI systems, digital experience, and the perception of privacy and data security, influence overall guest satisfaction. The research was conducted in Serbia and Hungary, using structural models to assess and analyze direct and indirect effects. The results show that AI personalization significantly contributes to guest satisfaction, with mediating variables such as trust in AI systems and technological experience playing a key role. A comparative analysis highlights differences between Hungary, a member of the European Union, and Serbia, a country in transition, shedding light on specific regulatory frameworks and cultural preferences in these countries.

Авторы
Makivić Ranko1 , Vukolić Dragan2, 3 , Veljović Sonja2 , Bolesnikov Minja1, 4 , Dávid Lóránt Dénes5, 6, 7, 8 , Ivanišević Andrea1 , Silić Mario4 , Gajić Tamara 2, 4, 9, 10
Журнал
Номер выпуска
11
Язык
Английский
Страницы
700
Статус
Опубликовано
Том
15
Год
2024
Организации
  • 1 Faculty of Technical Sciences, University of Novi Sad, 11000 Novi Sad, Serbia
  • 2 Faculty of Hotel Management and Tourism, University of Kragujevac, 36210 Vrnjačka Banja, Serbia
  • 3 Faculty of Tourism and Hotel Management, University of Business Studies, 78000 Banja Luka, Bosnia and Herzegovina
  • 4 Swiss School of Business and Management, 1213 Genève, Switzerland
  • 5 Department of Tourism and Hospitality, Faculty of Economics and Business, John von Neumann University, HU-6000 Kecskemét, Hungary
  • 6 Department of Sustainable Tourism, Institute of Rural Development and Sustainable Economy, Hungarian University of Agriculture and Life Sciences (MATE), HU-2100 Gödöllő, Hungary
  • 7 Savaria Department of Business Economics, Faculty of Social Sciences, Savaria University Centre, Eötvös Loránd University, HU-9700 Szombathely, Hungary
  • 8 Kautz Gyla Faculty of Business and Economy, Department of Tourism and Hospitality, Széchenyi István University, HU-9026 Győr, Hungary
  • 9 Geographical Institute “Jovan Cvijić”, Serbian Academy of Sciences and Arts, 11000 Belgrade, Serbia
  • 10 Institute of Environmental Engineering, Peoples’ Friendship University of Russia, RUDN University, 117198 Moscow, Russia
Дата создания
04.12.2024
Дата изменения
04.12.2024
Постоянная ссылка
https://repository.rudn.ru/ru/records/article/record/157762/
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