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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

  • 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.
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  • 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.
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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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  • Mich, L. (2020). Artificial Intelligence and Machine. Handbook of e-tourism içinde (s. 1-21). Cham: Springer.
  • Miskolczi, M., Jászberényi, M., ve Tóth, D. (2021). Technology-enhanced airport services—attractiveness from the travelers’ perspective. Sustainability, 13(2), 705.
  • Mohasses, M. (2019). How AI-chatbots can make Dubai smarter?, Amity International Conference on Artificial Intelligence (AICAI), (s. 439-446). IEEE.
  • Naik, U. ve Shivalingaiah, D. (2008). Comparative study of web 1.0, web 2.0 and web 3.0., Proceedings of the International Convention on Automation of Libraries in Education and Research Institutions, 28 Şubat–1 Mart, CALIBER, Allahabad, Hindistan.
  • Naumov, N. (2019). The impact of robots, artificial ıntelligence, and service automation on service quality and service experience in hospitality. S. Ivanov ve C. Webster (Ed.). Robots, artificial ıntelligence, and service automation in travel, tourism and hospitality içinde (s. 123-133). Bingley: Emerald Publishing Limited.
  • Nayyar, A., Mahapatra, B., Le, D. ve Suseendran, G. (2018). Virtual reality (VR) & augmented reality (AR) technologies for tourism and hospitality industry. International Journal of Engineering & Technology, 7(2.21), 156-160.
  • Nazarenko, Y. (2020). Chatbots for travel industry: Be there for your customers 24/7. https://sendpulse.com/blog/travel-chatbots
  • Ozdemir, A. I., Ar, I. M. ve Erol, I. (2020). Assessment of blockchain applications in travel and tourism industry. Quality & Quantity, 54(5), 1549-1563.
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  • Önder, I. ve Treiblmaier, H. (2018). Blockchain and tourism: Three research propositions. Annals of Tourism Research, 72, 180-182.
  • Park, S. (2020). Multifaceted trust in tourism service robots. Annals of Tourism Research, 81, 1-50.
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  • Wan, W. N. A. A. B., Mohamad, A. F. M. F., Shahib, N. S., Azmi, A., Kamal, S. B. M. ve Abdullah, D. (2016). A framework of customer’s intention to use Uber service in tourism destination. International Academic Research Journal of Business and Technology, 2(2), 102-106.
  • Willie, P. (2019). Can all sectors of the hospitality and tourism industry be influenced by the innovation of blockchain technology?. Worldwide Hospitality and Tourism Themes, 1-11.
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  • Xiang, Z. ve Fesenmaier, D. R. (Ed.). (2017). Big data analytics, tourism design and smart tourism. Analytics in smart tourism design içinde (s. 299-307). Cham: Springer.
  • Yeung, C., Tung, P. F. ve Yen, J. (1998). A multi-agent based tourism kiosk on internet. Proceedings of the thirty-first Hawaii international conference on system sciences içinde (s. 452-461). IEEE.
  • Yung, R. ve Khoo-Lattimore, C. (2019). New realities: A systematic literature review on virtual reality and augmented reality in tourism research. Current Issues in Tourism, 22(17), 2056-2081.
  • Zhang, L. ve Sun, Z. (2019). The Application of artificial intelligence technology in the tourism industry of Jinan. Journal of Physics: Conference Series IOP Publishing, 1302(3), 1-5.
  • Zheng, Z., Xie, S., Dai, H. N., Chen, X. Ve Wang, H. (2018). Blockchain challenges and opportunities: A survey. International Journal of Web and Grid Services, 14(4), 352-375.
  • Zhu, W., Zhang, L. ve Li, N. (2014). Challenges, function changing of government and enterprises in Chinese smart tourism. Information and Communication Technologies in Tourism, 10, 553-564.
  • Zlatanov, S. ve Popesku, J. (2019). Current applications of artificial ıntelligence in tourism and hospitality. International Scientific conference on information technology and data related research içinde (s. 84-90). Singidunum University.
  • Zsarnoczky, M. (2017). How does artificial intelligence affect the tourism industry?. Vadyba Journal of Management, 31(2), 85-90.
Toplam 112 adet kaynakça vardır.

Ayrıntılar

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

Miraç Yücel Başer 0000-0002-9394-8815

Atınç Olcay 0000-0003-0407-5467

Yayımlanma Tarihi 31 Temmuz 2022
Gönderilme Tarihi 8 Mart 2022
Kabul Tarihi 4 Haziran 2022
Yayımlandığı 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. https://doi.org/10.21547/jss.1084783