Rezervayon Sistemleri ve Yönetimi
Özet
Otelcilik ve turizm sektöründe rezervasyon sistemleri, geleneksel yöntemlerden dijital platformlara geçişle birlikte köklü bir dönüşüm geçirmiştir. Bu bölümde, otelcilik ve turizm sektöründe rezervasyon sistemlerinin geleneksel yöntemlerden dijitalleşmeye uzanan tarihsel gelişimi ele alınmaktadır. Çevrimiçi rezervasyon sistemlerinin kullanıcı deneyimine ve işletme yönetimine getirdiği dönüşüm kapsamlı biçimde analiz edilmiştir. Erişilebilirlik, hız, kişiselleştirme ve karar desteği gibi kullanıcı avantajları ile operasyonel verimlilik, gelir yönetimi ve pazarlama etkinliği gibi işletme katkıları detaylandırılmıştır. Ayrıca, yapay zekâ destekli rezervasyon çözümleri, artırılmış gerçeklik, blockchain ve makine öğrenimi gibi yenilikçi teknolojiler ışığında gelecekteki trendler değerlendirilmektedir. Marriott, Hilton ve Accor gibi otel zincirlerinin uygulamaları örneklenmiş; veri güvenliği, siber riskler ve etik sorumluluklar da sürdürülebilir dijital rezervasyon sistemleri bağlamında tartışılmıştır. Bölüm, dijital rezervasyon teknolojilerinin bugünü ve geleceğine dair bütüncül bir perspektif sunmayı amaçlamaktadır.
Reservation systems in the hospitality and tourism industry have undergone a major transformation with the shift from traditional methods to digital platforms. The chapter examines the historical development of reservation systems in the hospitality and tourism industry, tracing the shift from traditional methods to digitalization. It offers a comprehensive analysis of the transformation that online reservation systems have brought to both user experience and business management. Advantages such as accessibility, speed, personalization, and decision support for users, along with operational efficiency, revenue management, and marketing effectiveness for businesses, are explored in detail. The chapter also evaluates future trends in light of innovative technologies such as AI-powered reservation solutions, augmented reality, blockchain, and machine learning. Practical implementations from hotel chains like Marriott, Hilton, and Accor are presented as examples. Furthermore, data security, cyber risks, and ethical responsibilities are discussed within the framework of sustainable digital reservation systems. The chapter aims to provide a holistic perspective on the current state and future of digital reservation technologies.
Referanslar
Akgün, A. (2023). Otel faaliyetleri için yapay zekâ destekli uygulamalar. Selçuk Turizm ve Bilişim Araştırmaları Dergisi, 3:1-21.
Arkunlar, B. (1997). Amadeus Elektronik Rezervasyon Dağıtım Sistemleri, 2. Bilkent Turizm Forumu, 5-6- Aralık1997, Bilkent Üniversitesi, Ankara, 43 – 44.
Attila, A. (2016). The Impact of the Hotel Industry on the Competitiveness of Tourism Destinations in Hungary. Journal of Competitiveness, 8(4), 85-104
Barua, B., ve Kaiser, M. S. (2024). Real-Time Performance Optimization of Travel Reservation Systems Using AI and Microservices. arXiv preprint arXiv:2412.06874.
Buhalis, D. (2000). Relationships in the Distribution Channel of Tourism: Conflicts Between Hoteliers and Tour Operators in the Mediterranean Region. International Journal of Hospitality and Tourism Administration, 1(1), 113-139.
Buhalis, D., ve Law, R. (2008). Progress in information technology and tourism management: 20 years on and 10 years after the Internet—The state of eTourism research. Tourism Management, 29(4), 609–623.
Chen, Y., Hu, H. (2013). Internet of intelligent things and robot as a service. SimulationModelling Practice and Theory, 34, 159-171
Christodoulidou, N., Connolly, D. J. ve Brewer, P. (2010). An examination of the transactional Relationship Between Online Travel Agencies, Travel Meta Sites, and Suppliers. International Journal of Contemporary Hospitality Management, 22(7), 1048-1062.
Demir, M. ve Demir, Ş. (2015). Otel İşletmelerinde Yenilik Yönetimi İlkeler ve Örnekler. Ankara: Detay Yayıncılık.
Demirkol, O. (2021). İstanbul’da beş yıldızlı otel işletmelerinde oda satış gelirlerinin artırılmasında online rezervasyon kanallarının etkisi (Yüksek lisans tezi, İstanbul Ticaret Üniversitesi, Sosyal Bilimler Enstitüsü, Turizm İşletmeciliği Anabilim Dalı). Yükseköğretim Kurulu Ulusal Tez Merkezi.
Dönmez Genç, N. (2017). Turizm sektöründe online rezervasyon kalite algısı ve algılanan risk faktörlerinin incelenmesi (Master's thesis, Sosyal Bilimler Enstitüsü). T.C. İstanbul Aydın Üniversitesi Sosyal Bilimler Enstitüsü.
Elektraweb. (n.d.). Yapay zekâ otellerde neleri değiştirdi? https://www.elektraweb.com/justiniano-oteller-grubu-elektrawebli-oldu/yapay-zeka-otellerde-neleri-degistirdi. Erişim Tarihi: 25.05.2025.
Eröz, S.S. ve Doğdubay, M., (2012). Turistik Ürün Tercihinde Sosyal Medyanın Rolü ve Etik İlişkisi, Dokuz Eylül Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 27(1), ss.133-157.
Filieri, R. ve McLeay, F. (2013). E-WOM and Accommodation: An Analysis of the Factors that Influence Travelers' Adoption of Information from Online Reviews. Journal of Travel Research, 53(1), 44-57.
Gosela, R. R. U., ve Encarnacion, R. E. (2024). Booking and Reservation System: A Unified Application Using Location-Based Services for Sustainable Tourism Networks. networks, 4(2).
Gül, H., ve Boz, M. (2012). İnternet Ortamında Pazarlama, Online Rezervasyon; Şehirlerarası Otobüs Firmaları Üzerine Bir Araştırma. Journal of Internet Applications and Management, 3(1), 5-30.
Gürbüz, E. (2025, Ocak 2). Yapay zeka ve rezervasyon motorlarının geleceği: Book engine’lerin evrimi. LinkedIn. https://www.linkedin.com/pulse/yapay-zeka-ve-rezervasyon-motorlarının-geleceği-book-evrimi-gürbüz-slcwf.
Hanji, S.V., Navalgund, N., Ingalagi, S., Desai, S., Hanji, S.S. (2024). Adoption of AI Chatbots in Travel and Tourism Services. In: Yang, XS., Sherratt, R.S., Dey, N., Joshi, A. (eds) Proceedings of Eighth International Congress on Information and Communication Technology. ICICT 2023. Lecture Notes in Networks and Systems, vol 696. Springer, Singapore
Hill, J., Ford, W. R., ve Farreras, I. G. (2015). Real conversations with artificialintelligence: A comparison between human–human online conversations and human–chatbotconversations. Computers in Human Behavior, 49, 245-250.
Holloway, J. C. ve Taylor, N. (2006). The Business of Tourism (7 b.). Harlow: Financial Times Prentice Hall.
Huang, A., Chao, Y., de la Mora Velasco, E., Bilgihan, A. ve Wei, W. (2021). When Artificial Intelligence Meets the Hospitality and Tourism Industry: An Assessment Framework to Inform Theory and Management. Journal of Hospitality and Tourism Insights.
Icibot. (2024). Otel sahipleri yapay zekâ ile rezervasyon ve gelir optimizasyonu nasıl yapılır? https://icibot.com/tr/otel-sahipleri-yapay-zeka-ile-rezervasyon-ve-gelir-optimizasyonu-nasil-yapilir/. Erişim Tarihi: 20.06.2025
Ivanov, S., ve Webster, C. (Eds.). (2019). Robots, artificial intelligence, and service automation in travel, tourism and hospitality. Emerald Publishing Limited.
Ivanov, S., Webster, C. & Berezina, K. (2017). Adoption of robots and serviceautomation by tourism and hospitality companies. Revista Turismo & Desenvolvimento, 27/28,1501-1517
İpar, S. (2020). Akıllı turizm ve teknolojileri. İçinde B. Ilgaz (Ed.), Akıllı kent akıllı turizm (ss. 45–93). Ankara: Gazi Kitap Evi.
Jain, S. (2025). AI in B2B Marketing and Its Applications in the Hospitality Industry. In Addressing Contemporary Challenges in the B2B Hospitality Sector (pp. 69-98). IGI Global Scientific Publishing.
Kanchetti, D. (2022). Advanced anomaly detection algorithms for securing insurance data ecosystems against emerging cyber threats and fraud. International Journal of Information Technology (IJIT), 3(1), 17–35.
Kaul, D. (2021). AI-Driven Dynamic Upsell in Hotel Reservation Systems Based on Cybersecurity Risk Scores. International Journal of Computer Engineering and Technology (IJCET), 12(3), 114–125.
Kaul, D. (2021). AI-Driven Dynamic Upsell in Hotel Reservation Systems Based on Cybersecurity Risk Scores. International Journal of Computer Engineering and Technology (IJCET), 12(3), 114–125.
Kaur, M., Pandey, U., & Kaur, A. (2024). Leveraging AI for 24/7 Support: A Guide to Implementing Intelligent Chatbots in the Hotel Industry. İçinde Impact of AI and Tech-Driven Solutions in Hospitality and Tourism (ss. 302-328). IGI Global.
Law, R., Leung, R., Lo, A., Leung, D. ve Fong, L. H. (2015). Distribution Channel In Hospitality and Tourism: Revisiting Disintermediation from The Perspectives of Hotels and Travel Agencies. Contemporary Hospitality Management, 27(3), 431-452
Law, R., Chan, I., ve Goh, C. (2007). Where to find the lowest hotel room rates on the internet? The case of Hong Kong. International Journal of Contemporary Hospitality Management, 19(6), 495-506.
Law, R., Chan, I., ve Goh, C. (2007). Where to find the lowest hotel room rates on the internet? The case of Hong Kong. International Journal of Contemporary Hospitality Management, 19(6), 495-506.
Lukanova, G. ve Ilieva, G. (2019) Robots, Artificial Intelligence andService Automation in Hotels. In S. Ivanov and C. Webster (eds.), Robots, ArtificialIntelligence, and Service Automation in Travel, Tourism, and Hospitality. Bingley:Emerald Publishing Limited, 157-183.
Ngai, E. W., Xiu, L., ve Chau, D. C. (2009). Application of data mining techniques in customer relationship management: A literature review and classification. Expert systems with applications, 36(2), 2592-2602.
O’conner, P. ve Frew A. J. (2003). An Evaluation Methodology for Hotel Electronic Channels of Distribution, International Journal of Hospitality Management, Vol:23, 178-186
Özdemir, G. S. (2007). Konaklama işletmelerinde merkezi rezervasyon sistemleri ve örnek bir uygulama (Yüksek lisans tezi, Gazi Üniversitesi Eğitim Bilimleri Enstitüsü, Turizm İşletmeciliği Eğitimi Anabilim Dalı). Yükseköğretim Kurulu Ulusal Tez Merkezi.
Page, S. J. (2007). Tourism Management Managing for Change (2 b.). Burlington: Elsevier.
Papathanasiou, A., Cole, R., ve Murray, P. (2020). The (non-) application of blockchain technology in the Greek shipping industry. European Management Journal, 38(6), 927-938.
Pearce, D., Tan, R. ve Schott, C. (2004). Tourism Distribution Channels in Wellington, New Zealand. The International Journal of Tourism Research, 6(6), 397-410.
Pillai, R., ve Sivathanu, B. (2020). Adoption of AI-based chatbots for hospitality and tourism. International Journal of Contemporary Hospitality Management, 32(10), 3199-3226.
Statistica (2025). Online travel market size worldwide from 2017 to 2023, with a forecast until 2029 (in billion U.S. dollars) https://www.statista.com/statistics/1179020/online-travel-agent-market-size-worldwide/. (Erişim Tarihi: 20.05.2025).
Štilić, A., Nicić, M. ve Puška, A. (2023). Check-in to the future: Exploring the impact of contemporary information technologies and artificial intelligence on the hotel industry. Turističko poslovanje, (31).
Stoilova, E. (2021). AI chatbots as a customer service and support tool. ROBONOMICS: The Journal of the Automated Economy, 2, 21.
Sun, S., Law, R., ve Hyun, S. S. (2024). Exploration of Hotel Reservation Through Mobile Online Travel Agencies. International Journal of Tourism Research, 26(4), e2734.
Tapscott, D., ve Tapscott, A. (2016). Blockchain revolution: how the technology behind bitcoin is changing money, business, and the world. Penguin.
Tika Pradini, J. F. A. (2018). Audit sistem informasi front office pada world hotel menggunakan kerangka kerja cobit 4.1. 2(Ikraith Informatika, Vol. 2, No. 1.).
TravelMole. (2024, November 25). HotelPlanner: How AI and human booking agents can thrive together. https://www.travelmole.com/news/hotelplanner-how-ai-and-human-booking-agents-can-thrive-together/. Erişim Tarihi: 25.06.2025.
Tzafestas, S. G. (2020). Ethics and Law in Artificial Intelligence and Autonomous Systems: A Literature Survey. International Journal of Automation and Computing, 17(3), 1-23.
Van Ryzin, G. J., ve Talluri, K. T. (2005). An introduction to revenue management. In Emerging theory, methods, and applications (pp. 142-194). Informs.
WTOBC (World Tourism Organization Business Council) . (2004). Turizmde E-İş, Destinasyonlar ve İşletmeler için Pratik Yönergeler, İstanbul.
Wu, Y., Li, J., & Liu, J. (2024). Trends in Digitalized Hospitality Services: Accor Hotels Group’s Digital Transformation. Journal of Design Service and Social Innovation, 2(3).
Xiang, Z., Du, Q., Ma, Y., ve Fan, W. (2017). A comparative analysis of major online review platforms: Implications for social media analytics in hospitality and tourism. Tourism Management, 58, 51-65.
Yılmaz, A. İ. (2002). Merkezi Rezervasyon Sistemleri ve İstanbul’daki Dört ve Beş Yıldızlı Otellere Yönelik Uygulamalar, Yayınlanmamış Yüksek Lisans Tezi, İstanbul Üniversitesi, Sosyal Bilimler Enstitüsü, İstanbul.
Referanslar
Akgün, A. (2023). Otel faaliyetleri için yapay zekâ destekli uygulamalar. Selçuk Turizm ve Bilişim Araştırmaları Dergisi, 3:1-21.
Arkunlar, B. (1997). Amadeus Elektronik Rezervasyon Dağıtım Sistemleri, 2. Bilkent Turizm Forumu, 5-6- Aralık1997, Bilkent Üniversitesi, Ankara, 43 – 44.
Attila, A. (2016). The Impact of the Hotel Industry on the Competitiveness of Tourism Destinations in Hungary. Journal of Competitiveness, 8(4), 85-104
Barua, B., ve Kaiser, M. S. (2024). Real-Time Performance Optimization of Travel Reservation Systems Using AI and Microservices. arXiv preprint arXiv:2412.06874.
Buhalis, D. (2000). Relationships in the Distribution Channel of Tourism: Conflicts Between Hoteliers and Tour Operators in the Mediterranean Region. International Journal of Hospitality and Tourism Administration, 1(1), 113-139.
Buhalis, D., ve Law, R. (2008). Progress in information technology and tourism management: 20 years on and 10 years after the Internet—The state of eTourism research. Tourism Management, 29(4), 609–623.
Chen, Y., Hu, H. (2013). Internet of intelligent things and robot as a service. SimulationModelling Practice and Theory, 34, 159-171
Christodoulidou, N., Connolly, D. J. ve Brewer, P. (2010). An examination of the transactional Relationship Between Online Travel Agencies, Travel Meta Sites, and Suppliers. International Journal of Contemporary Hospitality Management, 22(7), 1048-1062.
Demir, M. ve Demir, Ş. (2015). Otel İşletmelerinde Yenilik Yönetimi İlkeler ve Örnekler. Ankara: Detay Yayıncılık.
Demirkol, O. (2021). İstanbul’da beş yıldızlı otel işletmelerinde oda satış gelirlerinin artırılmasında online rezervasyon kanallarının etkisi (Yüksek lisans tezi, İstanbul Ticaret Üniversitesi, Sosyal Bilimler Enstitüsü, Turizm İşletmeciliği Anabilim Dalı). Yükseköğretim Kurulu Ulusal Tez Merkezi.
Dönmez Genç, N. (2017). Turizm sektöründe online rezervasyon kalite algısı ve algılanan risk faktörlerinin incelenmesi (Master's thesis, Sosyal Bilimler Enstitüsü). T.C. İstanbul Aydın Üniversitesi Sosyal Bilimler Enstitüsü.
Elektraweb. (n.d.). Yapay zekâ otellerde neleri değiştirdi? https://www.elektraweb.com/justiniano-oteller-grubu-elektrawebli-oldu/yapay-zeka-otellerde-neleri-degistirdi. Erişim Tarihi: 25.05.2025.
Eröz, S.S. ve Doğdubay, M., (2012). Turistik Ürün Tercihinde Sosyal Medyanın Rolü ve Etik İlişkisi, Dokuz Eylül Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 27(1), ss.133-157.
Filieri, R. ve McLeay, F. (2013). E-WOM and Accommodation: An Analysis of the Factors that Influence Travelers' Adoption of Information from Online Reviews. Journal of Travel Research, 53(1), 44-57.
Gosela, R. R. U., ve Encarnacion, R. E. (2024). Booking and Reservation System: A Unified Application Using Location-Based Services for Sustainable Tourism Networks. networks, 4(2).
Gül, H., ve Boz, M. (2012). İnternet Ortamında Pazarlama, Online Rezervasyon; Şehirlerarası Otobüs Firmaları Üzerine Bir Araştırma. Journal of Internet Applications and Management, 3(1), 5-30.
Gürbüz, E. (2025, Ocak 2). Yapay zeka ve rezervasyon motorlarının geleceği: Book engine’lerin evrimi. LinkedIn. https://www.linkedin.com/pulse/yapay-zeka-ve-rezervasyon-motorlarının-geleceği-book-evrimi-gürbüz-slcwf.
Hanji, S.V., Navalgund, N., Ingalagi, S., Desai, S., Hanji, S.S. (2024). Adoption of AI Chatbots in Travel and Tourism Services. In: Yang, XS., Sherratt, R.S., Dey, N., Joshi, A. (eds) Proceedings of Eighth International Congress on Information and Communication Technology. ICICT 2023. Lecture Notes in Networks and Systems, vol 696. Springer, Singapore
Hill, J., Ford, W. R., ve Farreras, I. G. (2015). Real conversations with artificialintelligence: A comparison between human–human online conversations and human–chatbotconversations. Computers in Human Behavior, 49, 245-250.
Holloway, J. C. ve Taylor, N. (2006). The Business of Tourism (7 b.). Harlow: Financial Times Prentice Hall.
Huang, A., Chao, Y., de la Mora Velasco, E., Bilgihan, A. ve Wei, W. (2021). When Artificial Intelligence Meets the Hospitality and Tourism Industry: An Assessment Framework to Inform Theory and Management. Journal of Hospitality and Tourism Insights.
Icibot. (2024). Otel sahipleri yapay zekâ ile rezervasyon ve gelir optimizasyonu nasıl yapılır? https://icibot.com/tr/otel-sahipleri-yapay-zeka-ile-rezervasyon-ve-gelir-optimizasyonu-nasil-yapilir/. Erişim Tarihi: 20.06.2025
Ivanov, S., ve Webster, C. (Eds.). (2019). Robots, artificial intelligence, and service automation in travel, tourism and hospitality. Emerald Publishing Limited.
Ivanov, S., Webster, C. & Berezina, K. (2017). Adoption of robots and serviceautomation by tourism and hospitality companies. Revista Turismo & Desenvolvimento, 27/28,1501-1517
İpar, S. (2020). Akıllı turizm ve teknolojileri. İçinde B. Ilgaz (Ed.), Akıllı kent akıllı turizm (ss. 45–93). Ankara: Gazi Kitap Evi.
Jain, S. (2025). AI in B2B Marketing and Its Applications in the Hospitality Industry. In Addressing Contemporary Challenges in the B2B Hospitality Sector (pp. 69-98). IGI Global Scientific Publishing.
Kanchetti, D. (2022). Advanced anomaly detection algorithms for securing insurance data ecosystems against emerging cyber threats and fraud. International Journal of Information Technology (IJIT), 3(1), 17–35.
Kaul, D. (2021). AI-Driven Dynamic Upsell in Hotel Reservation Systems Based on Cybersecurity Risk Scores. International Journal of Computer Engineering and Technology (IJCET), 12(3), 114–125.
Kaul, D. (2021). AI-Driven Dynamic Upsell in Hotel Reservation Systems Based on Cybersecurity Risk Scores. International Journal of Computer Engineering and Technology (IJCET), 12(3), 114–125.
Kaur, M., Pandey, U., & Kaur, A. (2024). Leveraging AI for 24/7 Support: A Guide to Implementing Intelligent Chatbots in the Hotel Industry. İçinde Impact of AI and Tech-Driven Solutions in Hospitality and Tourism (ss. 302-328). IGI Global.
Law, R., Leung, R., Lo, A., Leung, D. ve Fong, L. H. (2015). Distribution Channel In Hospitality and Tourism: Revisiting Disintermediation from The Perspectives of Hotels and Travel Agencies. Contemporary Hospitality Management, 27(3), 431-452
Law, R., Chan, I., ve Goh, C. (2007). Where to find the lowest hotel room rates on the internet? The case of Hong Kong. International Journal of Contemporary Hospitality Management, 19(6), 495-506.
Law, R., Chan, I., ve Goh, C. (2007). Where to find the lowest hotel room rates on the internet? The case of Hong Kong. International Journal of Contemporary Hospitality Management, 19(6), 495-506.
Lukanova, G. ve Ilieva, G. (2019) Robots, Artificial Intelligence andService Automation in Hotels. In S. Ivanov and C. Webster (eds.), Robots, ArtificialIntelligence, and Service Automation in Travel, Tourism, and Hospitality. Bingley:Emerald Publishing Limited, 157-183.
Ngai, E. W., Xiu, L., ve Chau, D. C. (2009). Application of data mining techniques in customer relationship management: A literature review and classification. Expert systems with applications, 36(2), 2592-2602.
O’conner, P. ve Frew A. J. (2003). An Evaluation Methodology for Hotel Electronic Channels of Distribution, International Journal of Hospitality Management, Vol:23, 178-186
Özdemir, G. S. (2007). Konaklama işletmelerinde merkezi rezervasyon sistemleri ve örnek bir uygulama (Yüksek lisans tezi, Gazi Üniversitesi Eğitim Bilimleri Enstitüsü, Turizm İşletmeciliği Eğitimi Anabilim Dalı). Yükseköğretim Kurulu Ulusal Tez Merkezi.
Page, S. J. (2007). Tourism Management Managing for Change (2 b.). Burlington: Elsevier.
Papathanasiou, A., Cole, R., ve Murray, P. (2020). The (non-) application of blockchain technology in the Greek shipping industry. European Management Journal, 38(6), 927-938.
Pearce, D., Tan, R. ve Schott, C. (2004). Tourism Distribution Channels in Wellington, New Zealand. The International Journal of Tourism Research, 6(6), 397-410.
Pillai, R., ve Sivathanu, B. (2020). Adoption of AI-based chatbots for hospitality and tourism. International Journal of Contemporary Hospitality Management, 32(10), 3199-3226.
Statistica (2025). Online travel market size worldwide from 2017 to 2023, with a forecast until 2029 (in billion U.S. dollars) https://www.statista.com/statistics/1179020/online-travel-agent-market-size-worldwide/. (Erişim Tarihi: 20.05.2025).
Štilić, A., Nicić, M. ve Puška, A. (2023). Check-in to the future: Exploring the impact of contemporary information technologies and artificial intelligence on the hotel industry. Turističko poslovanje, (31).
Stoilova, E. (2021). AI chatbots as a customer service and support tool. ROBONOMICS: The Journal of the Automated Economy, 2, 21.
Sun, S., Law, R., ve Hyun, S. S. (2024). Exploration of Hotel Reservation Through Mobile Online Travel Agencies. International Journal of Tourism Research, 26(4), e2734.
Tapscott, D., ve Tapscott, A. (2016). Blockchain revolution: how the technology behind bitcoin is changing money, business, and the world. Penguin.
Tika Pradini, J. F. A. (2018). Audit sistem informasi front office pada world hotel menggunakan kerangka kerja cobit 4.1. 2(Ikraith Informatika, Vol. 2, No. 1.).
TravelMole. (2024, November 25). HotelPlanner: How AI and human booking agents can thrive together. https://www.travelmole.com/news/hotelplanner-how-ai-and-human-booking-agents-can-thrive-together/. Erişim Tarihi: 25.06.2025.
Tzafestas, S. G. (2020). Ethics and Law in Artificial Intelligence and Autonomous Systems: A Literature Survey. International Journal of Automation and Computing, 17(3), 1-23.
Van Ryzin, G. J., ve Talluri, K. T. (2005). An introduction to revenue management. In Emerging theory, methods, and applications (pp. 142-194). Informs.
WTOBC (World Tourism Organization Business Council) . (2004). Turizmde E-İş, Destinasyonlar ve İşletmeler için Pratik Yönergeler, İstanbul.
Wu, Y., Li, J., & Liu, J. (2024). Trends in Digitalized Hospitality Services: Accor Hotels Group’s Digital Transformation. Journal of Design Service and Social Innovation, 2(3).
Xiang, Z., Du, Q., Ma, Y., ve Fan, W. (2017). A comparative analysis of major online review platforms: Implications for social media analytics in hospitality and tourism. Tourism Management, 58, 51-65.
Yılmaz, A. İ. (2002). Merkezi Rezervasyon Sistemleri ve İstanbul’daki Dört ve Beş Yıldızlı Otellere Yönelik Uygulamalar, Yayınlanmamış Yüksek Lisans Tezi, İstanbul Üniversitesi, Sosyal Bilimler Enstitüsü, İstanbul.
