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Akıllı Turizmde Yapay Zekâ Teknolojisi

Yıl 2022, Cilt 21, Sayı 3, 1795 - 1817, 31.07.2022
https://doi.org/10.21547/jss.1084783

Öz

Teknolojide yaşanan gelişmelerin insan zekâsını taklit eden yeni nesil yapay zekâ uygulamalarını ortaya çıkardığı bilinmektedir. Ekonomi, sağlık, eğitim gibi hayatın bir çok alanında kullanılan yapay zekâ teknolojilerinin, değişen tüketici kalıpları neticesinde turizm sektörü içinde önemli olmaya başladığı görülmektedir. Çünkü yapay zekâ uygulamaları turistler açısından gerek zaman gerek ekonomik faydalar sunan uygulamalar olmaktadır. Yapay zekâ teknolojilerine odaklan bu çalışmada akıllı turizm kapsamında hangi yapay zekâ teknolojisinin nasıl kullanılabileceğinin belirlenmesi amaçlanmaktadır. Bu amaçla hazırlanan çalışmada Web 3.0 ile birlikte gelişme gösteren blok zincir tabanlı uygulamalara da değinilerek hangi yapay zekâ teknolojisi yerine kullanılabileceği de ifade edilmeye çalışılmıştır.

Kaynakça

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  • Afsahhosseini, F. ve Al-Mulla, Y. (2020). Machine learning in tourism. The 3rd International Conference on Machine Learning and Machine Intelligence, (s. 53-57). 18-20 Eylül 2020, Hangzhou, Çin.
  • Aghaei, H., Naderibeni, N. ve Karimi, A. (2021). Designing a tourism business model on block chain platform. Tourism Management Perspectives, 39, 1-12.
  • Aghaei, S., Nematbakhsh, M. A. ve Farsani, H. K. (2012). Evolution of the world wide web: from web 1.0 to web 4.0. International Journal of Web & Semantic Technology, 3(1), 1-10.
  • Alotaibi, R., Ali, A., Alharthi, H. ve Almehamdi, R. (2020). AI chatbot for tourist recommendations: a case study in the city of Jeddah, Saudi Arabia. International Journal of Interactive Mobile Technologies, 14(19), 18-30.
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  • Collins (Ed.), hospitality & tourism information technology içinde (s. 1–26). Florida: University of South Florida M3 Publishing
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Artifical Intelligence (AI) Technology in Smart Tourism

Yıl 2022, Cilt 21, Sayı 3, 1795 - 1817, 31.07.2022
https://doi.org/10.21547/jss.1084783

Öz

It is known that advances in technology have uncovered the next generation of artificial intelligence applications that mimic human intelligence. As a result of shifting consumer behaviors, its seen that artificial intelligence technologies, which are used in many areas of life such as economics, health, and education, are becoming increasingly significant within the tourism industry. Because artificial intelligence applications are applications that offer both time and economic benefits for tourists. In this context, the purpose of this study, which examines artificial intelligence applications in smart tourism, is to evaluate which artificial intelligence technology can be utilized efficiently at which stage of the trip. The purpose of this research, which focuses on artificial intelligence technologies, is to determine which artificial intelligence technologies how can be used in smart tourism. At this study, which was prepared with this goal, included blockchain technologies too that developed with Web 3.0, and it attempted to explain can be used instead of which artificial intelligence technology.

Kaynakça

  • Abdelmoaty, G. A. ve Soliman, S. A. E. M. (2020). Smart technology applications in tourism and hospitality industry of the new administrative capital, Egypt. Journal of Association of Arab Universities for Tourism and Hospitality, 19(2), 102-129.
  • Afsahhosseini, F. ve Al-Mulla, Y. (2020). Machine learning in tourism. The 3rd International Conference on Machine Learning and Machine Intelligence, (s. 53-57). 18-20 Eylül 2020, Hangzhou, Çin.
  • Aghaei, H., Naderibeni, N. ve Karimi, A. (2021). Designing a tourism business model on block chain platform. Tourism Management Perspectives, 39, 1-12.
  • Aghaei, S., Nematbakhsh, M. A. ve Farsani, H. K. (2012). Evolution of the world wide web: from web 1.0 to web 4.0. International Journal of Web & Semantic Technology, 3(1), 1-10.
  • Alotaibi, R., Ali, A., Alharthi, H. ve Almehamdi, R. (2020). AI chatbot for tourist recommendations: a case study in the city of Jeddah, Saudi Arabia. International Journal of Interactive Mobile Technologies, 14(19), 18-30.
  • Baggio, R., Micera, R. ve Del Chiappa, G. (2020). Smart tourism destinations: A critical reflection. Journal of Hospitality and Tourism Technology, 11(3), 407-423.
  • Barkel, C., Kurgun, H. ve Groen, B. (2021). Blockchain in the hospitality and tourism industry. C. Cobanoglu, S. Dogan, K. Berezina ve G.
  • Collins (Ed.), hospitality & tourism information technology içinde (s. 1–26). Florida: University of South Florida M3 Publishing
  • Berezina, K., Ciftci, O. ve Cobanoglu, C. (2019). Robots, artificial intelligence, and service automation in restaurants. S. Ivanov ve C. Webster (Ed.), robots, artificial intelligence, and service automation in travel, tourism and hospitality içinde (s. 185-219). UK: Emerald Publishing Limited.
  • Boes, K., Buhalis, D. ve Inversini, A. (2016). Smart tourism destinations: ecosystems for tourism destination competitiveness. International Journal of Tourism Cities, 2(2), 108-124.
  • Bowen, J. ve Morosan, C. (2018). Beware hospitality industry: the robots are coming. Worldwide Hospitality and Tourism Themes, 10(6), 726-733.
  • Bowen, J. ve Whalen, E. (2017). Trends that are changing travel and tourism. Worldwide Hospitality and Tourism Themes, 1-11.
  • Bughin, J., Hazan, E., Ramaswamy, S., Chui, M., Allas, T., Dahlstrom, P., Henke, N. ve Trench, M. (2017). Artificial ıntelligence: the next digital frontier?. McKinsey Global Institute.
  • Buhalis, D. ve Amaranggana, A. (2015). Smart tourism destinations enhancing tourism experience through personalisation of services. Tussyadiah, I. ve Inversini, A. (Ed.), information and communication technologies in tourism içinde (s. 377-389). Cham: Springer.
  • Buhalis, D. ve O'Connor, P. (2005). Information communication technology revolutionizing tourism. Tourism Recreation Research, 30(3), 7-16.
  • Buhalis, D. ve Yen, E. C. S. (2020). Exploring The Use of Chatbots in Hotels: Technology Providers’ Perspective. Neidhardt, J. ve Wörndl, W. (Ed.), information and communication technologies in tourism 2020 içinde (s. 231-242). Cham: Springer.
  • Bulchand-Gidumal, J. (2020). Impact of artificial ıntelligence in travel, tourism, and hospitality. Handbook of e-Tourism, 1–20.
  • Caddeo, F. ve Pinna, A. (2021). Opportunities and challenges of blockchain-oriented systems in the tourism industry. IEEE/ACM 4th International workshop on emerging trends in software engineering for blockchain (WETSEB) İçinde (s. 9-16). IEEE.
  • Calvaresi, D., Ibrahim, A., Calbimonte, J. P., Schegg, R., Fragniere, E. ve Schumacher, M. (2021). The evolution of chatbots in tourism: A systematic literature review. Information and communication technologies in tourism 2021 içinde (s. 3-16). Cham: Springer.
  • Chang, H. L. ve Yang, C. H. (2008). Do airline self-service check-in kiosks meet the needs of passengers?. Tourism Management, 29(5), 980-993.
  • Chen, Y. ve Hu, H. (2013). Internet of intelligent things and robot as a service. Simulation Modelling Practice and Theory, 34, 159-171.
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Ayrıntılar

Birincil Dil Türkçe
Konular Otelcilik, Konaklama, Spor ve Turizm
Bölüm Turizm, Otelcilik, Konaklama ve Spor
Yazarlar

Miraç Yücel BAŞER> (Sorumlu Yazar)
Bir kuruma bağlı değildir
0000-0002-9394-8815
Türkiye


Atınç OLCAY>
GAZİANTEP ÜNİVERSİTESİ, TURİZM VE OTELCİLİK MESLEK YÜKSEKOKULU
0000-0003-0407-5467
Türkiye

Yayımlanma Tarihi 31 Temmuz 2022
Gönderilme Tarihi 8 Mart 2022
Kabul Tarihi 4 Haziran 2022
Yayınlandığı Sayı Yıl 2022, Cilt 21, Sayı 3

Kaynak Göster

APA Başer, M. Y. & Olcay, A. (2022). Akıllı Turizmde Yapay Zekâ Teknolojisi . Gaziantep University Journal of Social Sciences , 21 (3) , 1795-1817 . DOI: 10.21547/jss.1084783