Araştırma Makalesi
BibTex RIS Kaynak Göster

“ULAKBİM” Kapsamındaki Akademik Dergilerde “Turizm ve Yapay Zekâ ” Konulu Makalelerin Değerlendirilmesi

Yıl 2024, , 719 - 746, 20.12.2024
https://doi.org/10.24010/soid.1544273

Öz

Bu çalışmada Türkiye’de ULAKBİM kapsamındaki akademik dergilerde yayımlanan turizm ve yapay zekâ konulu makalelerin bibliyometrik analizini yaparak, turizm alanında yapay zekâ uygulamaları üzerine mevcut literatürü değerlendirmek ve bu alandaki gelişim ve eğilimleri ortaya koymak amaçlanmaktadır. Çalışmada turizmde yapay zekâ uygulamalarıyla ilgili mevcut akademik birikime katkı sağlamayı ve gelecek araştırmalara yön verecek bir çerçeve sunmayı hedeflenmektedir. Araştırma 05-09 Haziran 2024 tarihleri arasında Ulusal Akademik Ağ ve Bilgi Merkezinin (ULAKBİM) veri tabanından elde edilen 97 makale üzerinde yürütülmüştür. Analiz sürecinde makalelerin yayınlandığı yıl, dergi adı, araştırma yöntemi, kullanılan dil, veri toplama araçları, kullanılan analiz programları ve işlenen konular gibi temalar değerlendirilmiştir. Çalışmada nicel verilerin analizi için SPSS istatistik programı, kelime bulutlarının ve diğer görsel verilerin oluşturulması için MAXQDA veri analiz programı kullanılmıştır. Araştırma sonucunda analiz edilen makalelerin çoğunun yapay zekâ teknolojilerinin turizm sektöründe nasıl kullanıldığını, dijitalleşmenin turizm endüstrisine etkilerini ve akıllı turizm uygulamalarını konu edindiği görülmüştür. Yapay zekâ teknolojilerinin turizm sektöründe müşteri deneyimini iyileştirmek süreçleri otomatikleştirmek ve veri analitiği yoluyla daha kişiselleştirilmiş hizmetler sunmak amacıyla kullanıldığı tespit edilmiştir. Dijitalleşmenin turizm endüstrisine katkıları rezervasyon sistemlerinden dijital pazarlama stratejilerine kadar geniş bir yelpazeyi kapsamaktadır. Ayrıca yapay zekânın turizm sektöründe uygulanması sayesinde şehirlerin ve destinasyonların daha verimli yönetildiği ve turist deneyimlerinin geliştirilmesine katkıda bulunulduğu anlaşılmaktadır.

Kaynakça

  • Ali, F., Park, E. O., Kwon, J., & Chae, B. K. (2019). 30 years of contemporary hospitality management: Uncovering the bibliometrics and topical trends. International Journal of Contemporary Hospitality Management.
  • Ardhiati, Y., Prasetya, L. E., Kurniawan, F. W., & Priyambodo, B. (2021). Virtual tourism: An imaginary art museum of Soekarno’s painting collection series. International Journal of Glocal Tourism, 2(3), 177-184.
  • Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959-975.
  • Bahar, M., Yüzbaşıoğlu, N. & Topsakal, Y. (2019). Akıllı turizm ve süper akıllı turist kavramları ışığında geleceğin turizm rehberliğine bakış. Journal of Travel and Tourism Research, 14, 72–93.
  • Bastidas-Manzano, A. B., Sánchez-Fernández, J., & Casado-Aranda, L. A. (2021). The past, present, and future of smart tourism destinations: A bibliometric analysis. Journal of Hospitality & Tourism Research, 45(3), 529-552.
  • Benckendorff, P. (2009). Themes and trends in Australian and New Zealand tourism research: A social network analysis of citations in two leading journals (1994–2007). Journal of Hospitality and Tourism Management, 16(1), 1-15.
  • Binbaşıoğlu, H. (2020). Akıllı turizm üzerine bibliyometrik bir literatür taraması. Journal of Tourism and Gastronomy Studies, 8(4), 2825-2847. https://doi.org/10.21325/jotags.2020.740
  • Bughin, J., Hazan, E., Ramaswamy, S., Chui, M., Allas, T., Dahlstrom, P. & Trench, M. (2017). Artificial İntelligence The Next Digital Frontier. ABD: Mckinsey & Company
  • Buhalis, D., & 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.
  • Bulchand-Gidumal, J. (2020). Impact of artificial intelligence in travel, tourism, and hospitality. Handbook of e-Tourism, 1–20.
  • Bhushan, S. (2021). The Impact of Artificial Intelligence and Machine Learning on the Global Economy and Its Implications for the Hospitality Sector in India. Worldwide Hospitality and Tourism Themes, 13(2): 252-259.
  • Cabi Bilge, A., Özdemir Akgül, S., & Çiçekdağı, M. (2023). Turizm ve robot konulu çalışmaların yönetici, müşteri ve çalışan boyutlarının bibliyometrik analiz ile değerlendirilmesi. Akşehir Meslek Yüksekokulu Sosyal Bilimler Dergisi, 16, 89-106.
  • Calvaresi, D., Ibrahim, A., Calbimonte, J. P., Schegg, R., Fragniere, E., & Schumacher, M. (2021). The evolution of chatbots in tourism: A systematic literature review. In W. Worndl, C. Koo, & J. L. Stienmetz (Eds.), Information and Communication Technologies in Tourism (pp. 155-171). Cham: Springer.
  • Chang, W. J., & Katrichis, J. M. (2016). A literature review of tourism management (1990–2013): A content analysis perspective. Current Issues in Tourism, 19(8), 791-823.
  • Chen, M., Zheng, J., Xu, Z., Shi, A., Gu, M., & Li, Y. (2022). Overviews of Internet of Things applications in China’s hospitality industry. Processes, 10(1256)
  • Choi, Y., Choi, M., Oh, M. & Kim, S. (2020). Service robots in hotels: understanding the service quality perceptions of human-robot interaction. Journal of Hospitality Marketing and Management, 29(6), 613–635. doi:1 0.1080/19368623.2020.1703871
  • Choudhary, S., Arba, H., & Patkar, U. (2016). An innovative study on artificial intelligence and robotics. International Journal of Innovative Research in Computer and Communication Engineering, 4(3), 3292-3296.
  • Çiftçi, E. Z. (2021). Türk turizm dergilerinde gastronomi: Gastronomi çalışmaları nereye gidiyor? Türk Turizm Araştırmaları Dergisi, 5(1), 642-659.
  • Çuhadar, M., Demiray, G., Öztürk, M., & Alabacak, C. (2022). Konaklama işletmelerinde yapay zekâ ve robotik teknolojileri: Bibliyometrik bir analiz. Journal of Tourism and Gastronomy Studies, 10(2), 1550–1580. https://doi.org/10.21325/jotags.2022.1056.
  • Dangwal,A., Kukreti, M., Angurala M., Sarangal R., Mehta M., & Chauhan., P. (2023). A Review on the Role of Artificial Intelligence in Tourism. Proocedings of 10th International Conference on Computing for Global Development (INDIACom) (pp.164-168), New Delhi, India.
  • Doborjeh, Z., Hemmington, N., Doborjeh, M., & Kasabov, N. (2022). Artificial intelligence: A systematic review of methods and applications in hospitality and tourism. International Journal of Contemporary Hospitality Management, 34(5), 1154–1176.
  • Jarek, K., & Mazurek, G. (2019). Marketing and artificial intelligence. Central European Business Review, 8(2), 46-55.
  • Elkhwesky, Z., El Manzani, Y., & Salem, I. E. (2022). Driving hospitality and tourism to foster sustainable innovation: A systematic review of COVID-19-related studies and practical implications in the digital era. Tourism and Hospitality Research.
  • Eker, N., Durdu, K. M., & Bozkurt, A. (2024). Covid-19 ve turizm ilişkisini ele alan ve Tr Dizin’de yayınlanan makalelerinin incelenmesi. Journal of Tourism and Gastronomy Studies, 12(3), 2147-8775.
  • Ercan, F. (2020). Bibliometric analysis of articles on gastronomic tourism in Turkey. Journal of Tourism and Gastronomy Studies, 8(2), 1058-1075.
  • Essien, A., & Chukwukelu, G. (2022). Deep learning in hospitality and tourism: A research framework agenda for future research. International Journal of Contemporary Hospitality Management, 34(11), 4480–4515.
  • Fong, L. H. N., Law, R., Tang, C. M. F., & Yap, M. H. T. (2016). Experimental research in hospitality and tourism: A critical review. International Journal of Contemporary Hospitality Management, 28(2), 246-266.
  • Gaur, L., Afaq, A., Singh, G., & Dwivedi, Y. K. (2021). Role of artificial intelligence and robotics to foster the touchless travel during a pandemic: A review and research agenda. International Journal of Contemporary Hospitality Management, 33(12), 4079–4098.
  • Giotis, G., & Papadionysiou, E. (2022). The role of managerial and technological innovations in the tourism industry: A review of the empirical literature. Sustainability, 14(9), 5182.
  • Gretzel, U., Sigala, M., Xiang, Z., & Koo, C. (2015). Smart tourism: Foundations and developments. Electronic Markets, 25(3), 179-188.
  • Hall, C. M. (2011). Publish and perish? Bibliometric analysis, journal ranking and the assessment of research quality in tourism. Tourism Management, 32(1), 16-27.
  • Kim, T., Jo, H., Yhee, Y., & Koo, C. (2022). Robots, artificial intelligence, and service automation (RAISA) in hospitality: Sentiment analysis of YouTube streaming data. Electronic Markets, 32(1), 259-275.
  • Kuşçu, E. (2015). Çeviride yapay zekâ uygulamaları. Atatürk Üniversitesi Kazım Karabekir Eğitim Fakültesi Dergisi, (30), 45-58.
  • Kutlusoy, Z. (2019). Felsefe açısından yapay zeka. In G. Telli (Ed.), Yapay zeka ve gelecek (pp. 25-43). İstanbul: Doğu Kitapevi.
  • Lee, I., Lee, H., Chen, Y., & Chae, Y. (2020). Bibliometric analysis of research assessing the use of acupuncture for pain treatment over the past 20 years. Journal of Pain Research, 13, 367–376.
  • Leung, D., Law, R., Van Hoof, H., & Buhalis, D. (2013). Social media in tourism and hospitality: A literature review. Journal of Travel & Tourism Marketing, 30(1-2), 3-22.
  • Li, M., Yin, D., Qiu, H., & Bai, B. (2021). A systematic review of AI technology-based service encounters: Implications for hospitality and tourism operations. International Journal of Hospitality Management, 95, 102930.
  • Lv, H., Shi, S., & Gursoy, D. (2022). A look back and a leap forward: A review and synthesis of big data and artificial intelligence literature in hospitality and tourism. Journal of Hospitality Marketing & Management, 31(2), 145–175
  • Manigandan, R. ve Raghuram, N. V. (2022). Artificial Intelligence (AI) In Hotel Industry and Future Development: an Extensive In-Depth Literature Review and Bibliometric Analysis. International Journal of Intelligent Systems and Applications in Engineering, 10(4): 664-676.
  • Marr, B. (2022). Yapay zekâ devrimi (Ü. Şensoy, Trans.). Akbank Yayınları.
  • Mijwel, M. M. (2020). History of artificial intelligence. Research Gate. https://www.researchgate.net/publication/322234922_History_of_Artificial_Intelligence.
  • Mulet-Forteza, C., Genovart-Balaguer, J., Mauleon-Mendez, E., & Merigó, J. M. (2019). Bibliometric research in the tourism, leisure and hospitality fields. Journal of Business Research, 101, 819-827.
  • Nannelli, M., Capone, F., & Lazzeretti, L. (2023). Artificial intelligence in hospitality and tourism: State of the art and future research avenues. European Planning Studies, 31(7), 1325-1344. https://doi.org/10.1080/09654313.2023.2180321.
  • Nunkoo, R., Smith, S. L., & Ramkissoon, H. (2013). Residents’ attitudes to tourism: A longitudinal study of 140 articles from 1984 to 2010. Journal of Sustainable Tourism, 21(1), 5-25.
  • Okumus, B., Koseoglu, M. A., & Ma, F. (2018). Food and gastronomy research in tourism and hospitality: A bibliometric analysis. International Journal of Hospitality Management, 73, 64-74.
  • Oral, S. (2023). Turizm Teknolojileri ile İlgili Araştırmalarının Kavramsallaştırılması: VOSviewer ile Bibliyometrik Analiz. Journal of Global Tourism And Technology Research, 4(2): 115-128
  • Osei, B. A., Ragavan, N. A., & Mensah, H. K. (2020). Prospects of the fourth industrial revolution for the hospitality industry: A literature review. Journal of Hospitality and Tourism Technology, 11(4), 479–494.
  • Özgür, Ö. F. (2024). Türkiye’de DergiPark Sistemindeki yapay zekâ ve kriz konulu akademik çalışmalar üzerine bir değerlendirme. Academic Journal of Information Technology. https://doi.org/10.5824/ajite.2024.01.003.x.
  • Porter, M. E., & Heppelmann, J. E. (2014). How smart, connected products are transforming competition. Harvard Business Review, 92(11), 64-88.
  • Prentice, C., Dominique Lopes, S. & Wang, X. (2020). The impact of artificial intelligence and employee service quality on customer satisfaction and loyalty. Journal of Hospitality Marketing and Management, 29(7), 739–756. doi:10.1080/19368623.2020.1722304
  • Samala, N., Katkam, B. S., Bellamkonda, R. S., & Rodriguez, R. V. (2022). Impact of AI and robotics in the tourism sector: A critical insight. Journal of Tourism Futures, 8(1), 73-87.
  • Samara, D., Magnisalis, I. & Peristeras, V. (2020). Artificial Intelligence and Big Data in Tourism: A Systematic Literature Review. Journal of Hospitality and Tourism Technology, 11(2), 343-367.
  • Samiee, Saeed – Chabowski, Brian R (2012), Knowledge Structure in International Marketing: A Multi-Method Bibliometric Analysis, Journal of the Academy of Marketing Science, 40: 2, ss.
  • Say, C., Cankaya, M., Kara, A., Gungor, T., & Fidan, B. (2021). Dijital dönüşüm ve yapay zekâ uygulamaları. Türkiye Bilişim Derneği Yayınları.
  • Say, C. (2022). Yeni Dünya Yeni Ağ. Destek Yayınları.
  • Singh, G., Mishra, A., & Sagar, D. (2013). An Overview of Artificial Intelligence. SBIT Journal of Sciences and Technology, 2(1), 1-4.
  • Sun, S., Law, R., & Zhang, M. (2020). An updated review of tourism-related experimental design articles. Asia Pacific Journal of Tourism Research, 25(7), 710-720
  • Üstüner, M. & Dilek, S. E. (2024). Turizm ve Teknoloji İlişkisi: Uluslararası Turizm Dergilerindeki Makalelere Yönelik Bibliyometrik Bir Değerlendirme, Journal of Tourism Intelligence and Smartness, 7(1), 36-50. http://doi.org/10.58636/jtis.1469307
  • Webster, C. & Ivanov, S. (2022). Public Perceptions of the Appropriateness of Robots in Museums and Galleries. Journal of Smart Tourism, 2(1), 33-39.
  • Yağcı, C., Gökçe, İ., Bozüyük, T., & Akar, G. (2020). Yapay Zekâ Teknolojisinin Endüstrideki Uygulamaları. Prof. Dr. Mehmet TEKTAŞ & Doç. Dr. Necla TEKTAŞ:http://tektasi.net/ wp-content/uploads/2014/01/yapay-zekâ-teknolojilerininend%C3%BCstrideki-uygulamalari.pdf
  • Yang, Jiaji, & Esying Chew. 2021. A Systematic Review for Service Humanoid Robotics Model in Hospitality. International Journal of Social Robotics 13: 1397–410
  • Yeğin, T. (2020). The place and future of artificial intelligence in marketing strategies. Ekev Akademi Dergisi, 24(81), 489-506.
  • Yıldırım, A. & Şimşek, H. (2018). Sosyal Bilimlerde Nitel Araştırma Yöntemleri (11. Baskı). Ankara: Seçkin Yayıncılık
  • Yılmaz, M. & Karamustafa, K. (2023). Turizm Alanında Endüstri 4.0 ve Uygulamalarını Konu Alan Makalelerin Bibliyometrik Analizi, Pamukkale Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, Sayı 54, Denizli, ss. 229-255
  • Zhang, K., Chen, Y. ve Li, C. (2019). Discovering The Tourists' Behaviors and Perceptions in A Tourism Destination By Analyzing Photos' Visual Content With A Computer Deep Learning Model: the Case of Beijing. Tourism Management, 75: 595-60
  • Zupic, I., & Čater, T. (2015). Bibliometric methods in management and organization. Organizational Research Methods, 18(3), 429–472.

Evaluation of Articles on 'Tourism and Artificial Intelligence' in Academic Journals Covered by ULAKBİM"

Yıl 2024, , 719 - 746, 20.12.2024
https://doi.org/10.24010/soid.1544273

Öz

In this study it is aimed to evaluate the existing literature on artificial intelligence applications in the field of tourism and to reveal the development and trends in this field by conducting a bibliometric analysis of articles on tourism and artificial intelligence published in academic journals within the scope of ULAKBIM in Turkey. The study aims to contribute to the existing academic knowledge on artificial intelligence applications in tourism and to provide a framework that will guide future research. The research was conducted on 97 articles obtained from the database of the National Academic Network and Information Centre (ULAKBIM) between 05-09 June 2024. In the analysis process, themes such as the year of publication, journal name, research method, language used, data collection tools, analysis programs used and topics covered were evaluated. SPSS statistical software was used for the analysis of quantitative data and MAXQDA data analysis software was used for the creation of word clouds and other visual data. As a result of the research, it was seen that most of the articles analysed were about how artificial intelligence technologies are used in the tourism sector, the effects of digitalisation on the tourism industry and smart tourism applications. It was found that artificial intelligence technologies are used in the tourism sector to improve customer experience, automate processes and provide more personalised services through data analytics. The contributions of digitalisation to the tourism industry cover a wide range from reservation systems to digital marketing strategies. It is also understood that the application of artificial intelligence in the tourism sector helps cities and destinations to be managed more efficiently and contributes to the improvement of tourist experiences

Kaynakça

  • Ali, F., Park, E. O., Kwon, J., & Chae, B. K. (2019). 30 years of contemporary hospitality management: Uncovering the bibliometrics and topical trends. International Journal of Contemporary Hospitality Management.
  • Ardhiati, Y., Prasetya, L. E., Kurniawan, F. W., & Priyambodo, B. (2021). Virtual tourism: An imaginary art museum of Soekarno’s painting collection series. International Journal of Glocal Tourism, 2(3), 177-184.
  • Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959-975.
  • Bahar, M., Yüzbaşıoğlu, N. & Topsakal, Y. (2019). Akıllı turizm ve süper akıllı turist kavramları ışığında geleceğin turizm rehberliğine bakış. Journal of Travel and Tourism Research, 14, 72–93.
  • Bastidas-Manzano, A. B., Sánchez-Fernández, J., & Casado-Aranda, L. A. (2021). The past, present, and future of smart tourism destinations: A bibliometric analysis. Journal of Hospitality & Tourism Research, 45(3), 529-552.
  • Benckendorff, P. (2009). Themes and trends in Australian and New Zealand tourism research: A social network analysis of citations in two leading journals (1994–2007). Journal of Hospitality and Tourism Management, 16(1), 1-15.
  • Binbaşıoğlu, H. (2020). Akıllı turizm üzerine bibliyometrik bir literatür taraması. Journal of Tourism and Gastronomy Studies, 8(4), 2825-2847. https://doi.org/10.21325/jotags.2020.740
  • Bughin, J., Hazan, E., Ramaswamy, S., Chui, M., Allas, T., Dahlstrom, P. & Trench, M. (2017). Artificial İntelligence The Next Digital Frontier. ABD: Mckinsey & Company
  • Buhalis, D., & 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.
  • Bulchand-Gidumal, J. (2020). Impact of artificial intelligence in travel, tourism, and hospitality. Handbook of e-Tourism, 1–20.
  • Bhushan, S. (2021). The Impact of Artificial Intelligence and Machine Learning on the Global Economy and Its Implications for the Hospitality Sector in India. Worldwide Hospitality and Tourism Themes, 13(2): 252-259.
  • Cabi Bilge, A., Özdemir Akgül, S., & Çiçekdağı, M. (2023). Turizm ve robot konulu çalışmaların yönetici, müşteri ve çalışan boyutlarının bibliyometrik analiz ile değerlendirilmesi. Akşehir Meslek Yüksekokulu Sosyal Bilimler Dergisi, 16, 89-106.
  • Calvaresi, D., Ibrahim, A., Calbimonte, J. P., Schegg, R., Fragniere, E., & Schumacher, M. (2021). The evolution of chatbots in tourism: A systematic literature review. In W. Worndl, C. Koo, & J. L. Stienmetz (Eds.), Information and Communication Technologies in Tourism (pp. 155-171). Cham: Springer.
  • Chang, W. J., & Katrichis, J. M. (2016). A literature review of tourism management (1990–2013): A content analysis perspective. Current Issues in Tourism, 19(8), 791-823.
  • Chen, M., Zheng, J., Xu, Z., Shi, A., Gu, M., & Li, Y. (2022). Overviews of Internet of Things applications in China’s hospitality industry. Processes, 10(1256)
  • Choi, Y., Choi, M., Oh, M. & Kim, S. (2020). Service robots in hotels: understanding the service quality perceptions of human-robot interaction. Journal of Hospitality Marketing and Management, 29(6), 613–635. doi:1 0.1080/19368623.2020.1703871
  • Choudhary, S., Arba, H., & Patkar, U. (2016). An innovative study on artificial intelligence and robotics. International Journal of Innovative Research in Computer and Communication Engineering, 4(3), 3292-3296.
  • Çiftçi, E. Z. (2021). Türk turizm dergilerinde gastronomi: Gastronomi çalışmaları nereye gidiyor? Türk Turizm Araştırmaları Dergisi, 5(1), 642-659.
  • Çuhadar, M., Demiray, G., Öztürk, M., & Alabacak, C. (2022). Konaklama işletmelerinde yapay zekâ ve robotik teknolojileri: Bibliyometrik bir analiz. Journal of Tourism and Gastronomy Studies, 10(2), 1550–1580. https://doi.org/10.21325/jotags.2022.1056.
  • Dangwal,A., Kukreti, M., Angurala M., Sarangal R., Mehta M., & Chauhan., P. (2023). A Review on the Role of Artificial Intelligence in Tourism. Proocedings of 10th International Conference on Computing for Global Development (INDIACom) (pp.164-168), New Delhi, India.
  • Doborjeh, Z., Hemmington, N., Doborjeh, M., & Kasabov, N. (2022). Artificial intelligence: A systematic review of methods and applications in hospitality and tourism. International Journal of Contemporary Hospitality Management, 34(5), 1154–1176.
  • Jarek, K., & Mazurek, G. (2019). Marketing and artificial intelligence. Central European Business Review, 8(2), 46-55.
  • Elkhwesky, Z., El Manzani, Y., & Salem, I. E. (2022). Driving hospitality and tourism to foster sustainable innovation: A systematic review of COVID-19-related studies and practical implications in the digital era. Tourism and Hospitality Research.
  • Eker, N., Durdu, K. M., & Bozkurt, A. (2024). Covid-19 ve turizm ilişkisini ele alan ve Tr Dizin’de yayınlanan makalelerinin incelenmesi. Journal of Tourism and Gastronomy Studies, 12(3), 2147-8775.
  • Ercan, F. (2020). Bibliometric analysis of articles on gastronomic tourism in Turkey. Journal of Tourism and Gastronomy Studies, 8(2), 1058-1075.
  • Essien, A., & Chukwukelu, G. (2022). Deep learning in hospitality and tourism: A research framework agenda for future research. International Journal of Contemporary Hospitality Management, 34(11), 4480–4515.
  • Fong, L. H. N., Law, R., Tang, C. M. F., & Yap, M. H. T. (2016). Experimental research in hospitality and tourism: A critical review. International Journal of Contemporary Hospitality Management, 28(2), 246-266.
  • Gaur, L., Afaq, A., Singh, G., & Dwivedi, Y. K. (2021). Role of artificial intelligence and robotics to foster the touchless travel during a pandemic: A review and research agenda. International Journal of Contemporary Hospitality Management, 33(12), 4079–4098.
  • Giotis, G., & Papadionysiou, E. (2022). The role of managerial and technological innovations in the tourism industry: A review of the empirical literature. Sustainability, 14(9), 5182.
  • Gretzel, U., Sigala, M., Xiang, Z., & Koo, C. (2015). Smart tourism: Foundations and developments. Electronic Markets, 25(3), 179-188.
  • Hall, C. M. (2011). Publish and perish? Bibliometric analysis, journal ranking and the assessment of research quality in tourism. Tourism Management, 32(1), 16-27.
  • Kim, T., Jo, H., Yhee, Y., & Koo, C. (2022). Robots, artificial intelligence, and service automation (RAISA) in hospitality: Sentiment analysis of YouTube streaming data. Electronic Markets, 32(1), 259-275.
  • Kuşçu, E. (2015). Çeviride yapay zekâ uygulamaları. Atatürk Üniversitesi Kazım Karabekir Eğitim Fakültesi Dergisi, (30), 45-58.
  • Kutlusoy, Z. (2019). Felsefe açısından yapay zeka. In G. Telli (Ed.), Yapay zeka ve gelecek (pp. 25-43). İstanbul: Doğu Kitapevi.
  • Lee, I., Lee, H., Chen, Y., & Chae, Y. (2020). Bibliometric analysis of research assessing the use of acupuncture for pain treatment over the past 20 years. Journal of Pain Research, 13, 367–376.
  • Leung, D., Law, R., Van Hoof, H., & Buhalis, D. (2013). Social media in tourism and hospitality: A literature review. Journal of Travel & Tourism Marketing, 30(1-2), 3-22.
  • Li, M., Yin, D., Qiu, H., & Bai, B. (2021). A systematic review of AI technology-based service encounters: Implications for hospitality and tourism operations. International Journal of Hospitality Management, 95, 102930.
  • Lv, H., Shi, S., & Gursoy, D. (2022). A look back and a leap forward: A review and synthesis of big data and artificial intelligence literature in hospitality and tourism. Journal of Hospitality Marketing & Management, 31(2), 145–175
  • Manigandan, R. ve Raghuram, N. V. (2022). Artificial Intelligence (AI) In Hotel Industry and Future Development: an Extensive In-Depth Literature Review and Bibliometric Analysis. International Journal of Intelligent Systems and Applications in Engineering, 10(4): 664-676.
  • Marr, B. (2022). Yapay zekâ devrimi (Ü. Şensoy, Trans.). Akbank Yayınları.
  • Mijwel, M. M. (2020). History of artificial intelligence. Research Gate. https://www.researchgate.net/publication/322234922_History_of_Artificial_Intelligence.
  • Mulet-Forteza, C., Genovart-Balaguer, J., Mauleon-Mendez, E., & Merigó, J. M. (2019). Bibliometric research in the tourism, leisure and hospitality fields. Journal of Business Research, 101, 819-827.
  • Nannelli, M., Capone, F., & Lazzeretti, L. (2023). Artificial intelligence in hospitality and tourism: State of the art and future research avenues. European Planning Studies, 31(7), 1325-1344. https://doi.org/10.1080/09654313.2023.2180321.
  • Nunkoo, R., Smith, S. L., & Ramkissoon, H. (2013). Residents’ attitudes to tourism: A longitudinal study of 140 articles from 1984 to 2010. Journal of Sustainable Tourism, 21(1), 5-25.
  • Okumus, B., Koseoglu, M. A., & Ma, F. (2018). Food and gastronomy research in tourism and hospitality: A bibliometric analysis. International Journal of Hospitality Management, 73, 64-74.
  • Oral, S. (2023). Turizm Teknolojileri ile İlgili Araştırmalarının Kavramsallaştırılması: VOSviewer ile Bibliyometrik Analiz. Journal of Global Tourism And Technology Research, 4(2): 115-128
  • Osei, B. A., Ragavan, N. A., & Mensah, H. K. (2020). Prospects of the fourth industrial revolution for the hospitality industry: A literature review. Journal of Hospitality and Tourism Technology, 11(4), 479–494.
  • Özgür, Ö. F. (2024). Türkiye’de DergiPark Sistemindeki yapay zekâ ve kriz konulu akademik çalışmalar üzerine bir değerlendirme. Academic Journal of Information Technology. https://doi.org/10.5824/ajite.2024.01.003.x.
  • Porter, M. E., & Heppelmann, J. E. (2014). How smart, connected products are transforming competition. Harvard Business Review, 92(11), 64-88.
  • Prentice, C., Dominique Lopes, S. & Wang, X. (2020). The impact of artificial intelligence and employee service quality on customer satisfaction and loyalty. Journal of Hospitality Marketing and Management, 29(7), 739–756. doi:10.1080/19368623.2020.1722304
  • Samala, N., Katkam, B. S., Bellamkonda, R. S., & Rodriguez, R. V. (2022). Impact of AI and robotics in the tourism sector: A critical insight. Journal of Tourism Futures, 8(1), 73-87.
  • Samara, D., Magnisalis, I. & Peristeras, V. (2020). Artificial Intelligence and Big Data in Tourism: A Systematic Literature Review. Journal of Hospitality and Tourism Technology, 11(2), 343-367.
  • Samiee, Saeed – Chabowski, Brian R (2012), Knowledge Structure in International Marketing: A Multi-Method Bibliometric Analysis, Journal of the Academy of Marketing Science, 40: 2, ss.
  • Say, C., Cankaya, M., Kara, A., Gungor, T., & Fidan, B. (2021). Dijital dönüşüm ve yapay zekâ uygulamaları. Türkiye Bilişim Derneği Yayınları.
  • Say, C. (2022). Yeni Dünya Yeni Ağ. Destek Yayınları.
  • Singh, G., Mishra, A., & Sagar, D. (2013). An Overview of Artificial Intelligence. SBIT Journal of Sciences and Technology, 2(1), 1-4.
  • Sun, S., Law, R., & Zhang, M. (2020). An updated review of tourism-related experimental design articles. Asia Pacific Journal of Tourism Research, 25(7), 710-720
  • Üstüner, M. & Dilek, S. E. (2024). Turizm ve Teknoloji İlişkisi: Uluslararası Turizm Dergilerindeki Makalelere Yönelik Bibliyometrik Bir Değerlendirme, Journal of Tourism Intelligence and Smartness, 7(1), 36-50. http://doi.org/10.58636/jtis.1469307
  • Webster, C. & Ivanov, S. (2022). Public Perceptions of the Appropriateness of Robots in Museums and Galleries. Journal of Smart Tourism, 2(1), 33-39.
  • Yağcı, C., Gökçe, İ., Bozüyük, T., & Akar, G. (2020). Yapay Zekâ Teknolojisinin Endüstrideki Uygulamaları. Prof. Dr. Mehmet TEKTAŞ & Doç. Dr. Necla TEKTAŞ:http://tektasi.net/ wp-content/uploads/2014/01/yapay-zekâ-teknolojilerininend%C3%BCstrideki-uygulamalari.pdf
  • Yang, Jiaji, & Esying Chew. 2021. A Systematic Review for Service Humanoid Robotics Model in Hospitality. International Journal of Social Robotics 13: 1397–410
  • Yeğin, T. (2020). The place and future of artificial intelligence in marketing strategies. Ekev Akademi Dergisi, 24(81), 489-506.
  • Yıldırım, A. & Şimşek, H. (2018). Sosyal Bilimlerde Nitel Araştırma Yöntemleri (11. Baskı). Ankara: Seçkin Yayıncılık
  • Yılmaz, M. & Karamustafa, K. (2023). Turizm Alanında Endüstri 4.0 ve Uygulamalarını Konu Alan Makalelerin Bibliyometrik Analizi, Pamukkale Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, Sayı 54, Denizli, ss. 229-255
  • Zhang, K., Chen, Y. ve Li, C. (2019). Discovering The Tourists' Behaviors and Perceptions in A Tourism Destination By Analyzing Photos' Visual Content With A Computer Deep Learning Model: the Case of Beijing. Tourism Management, 75: 595-60
  • Zupic, I., & Čater, T. (2015). Bibliometric methods in management and organization. Organizational Research Methods, 18(3), 429–472.
Toplam 66 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Turizm (Diğer)
Bölüm Makaleler
Yazarlar

Sibel Özdemir 0000-0003-0700-0823

Erken Görünüm Tarihi 10 Aralık 2024
Yayımlanma Tarihi 20 Aralık 2024
Gönderilme Tarihi 5 Eylül 2024
Kabul Tarihi 13 Kasım 2024
Yayımlandığı Sayı Yıl 2024

Kaynak Göster

APA Özdemir, S. (2024). “ULAKBİM” Kapsamındaki Akademik Dergilerde “Turizm ve Yapay Zekâ ” Konulu Makalelerin Değerlendirilmesi. Seyahat Ve Otel İşletmeciliği Dergisi, 21(3), 719-746. https://doi.org/10.24010/soid.1544273

Seyahat ve Otel İşletmeciliği (Journal of Travel and Hotel Business) is licensed under a Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0).
26935
Dergimiz EBSCOhost, Index Copernicus, Ulakbim,  DRJI, Research Bible, SOBİAD ve ASOS tarafından indekslenmektedir.