Tourist Perceptions towards Generative AI apps and Repeat Travel Intentions to Luxor: The Mediating Role of Readiness to Interaction with Content | ||||
| Journal of Tourism, Hotels and Heritage | ||||
| Volume 10, Issue 1, June 2025, Page 232-247 PDF (976.97 K) | ||||
| Document Type: Case Studies | ||||
| DOI: 10.21608/sis.2025.364988.1187 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
Dawlat Ezz Eldeen Shoukry  ; El Shaimaa Nashaat el sayed Mortada
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| Lecturer, Tourism Studies Department, Faculty of Tourism and Hotels, Fayoum University | ||||
| Abstract | ||||
| Technology is a major factor in the travel and tourism industry. It has changed the way we travel around the world, from smartphone apps to online booking systems. As a result, travel agencies are guiding customers through the confusing world of travel information by providing them with personalized recommendations and real-time updates via generative AI apps. In this regard, such agencies may use these apps to generate personalized recommendations that suit each customer’s interests and preferences and dynamically determine potential visit prices. Accordingly, the existing research highlights exploring the impact of tourist perceptions of these apps on their repeating travel intentions to Luxor. This research also seeks to examine the mediating role of tourists’ willingness to interact with these apps' contents. Purposive sampling was employed to select the sample members from tourists who had previously visited Luxor, with a sample size of 430 potential tourists. Adanco-PLS software was run to analyze the gathered data due to its superior ability to model structural equations in the presence of mediating or moderating constructs. . | ||||
| Keywords | ||||
| Readness of interaction with content; travel repeat intentions; tourism industry; generative AI | ||||
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