The Impact of Personal Preferences and AI Recommendations on Online Accommodation Booking Decisions

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Selçuk Turizm ve Bilişim Araştırmaları Dergisi
Sayı: 7
The Impact of Personal Preferences and AI Recommendations on Online Accommodation Booking Decisions

The Impact of Personal Preferences and AI Recommendations on Online Accommodation Booking Decisions

Pages : 40-52

View : 40 | Download : 37

Publication Date : 2025-06-30

Article Type : Research Paper

Abstract :This study investigates the factors influencing customer preferences in selecting online accommodations, with an emphasis on the roles of artificial intelligence (AI), personalization, and consumer behavior. As online accommodation platforms such as Airbnb, Expedia and Booking.com continue to reshape the tourism sector, understanding the decision-making processes of consumers is vital. The research explores how AI-driven recommendations, personalized marketing efforts, and user-generated content, especially reviews, affect consumer trust and behavior. By utilizing a mixed-methods approach, including both quantitative surveys and qualitative interviews, the study identifies key factors like price sensitivity, location, amenities, and platform reliability. The findings offer valuable insights into how digital platforms can leverage AI and review management to improve consumer engagement, thereby enhancing overall customer satisfaction. Moreover, the paper contributes to the ongoing discussion of ethical considerations related to AI usage in tourism and provides directions for future research on its impact on consumer preferences.
Keywords : Yapay Zeka (YZ), Tüketici Davranışı, kişiselleştirme, Çevrimiçi Konaklama Tercihi, Tüketici Yorumu, Turizm

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