Seyahat Danışmanı Olarak Chatgpt'nin Yeteneklerini Keşfetmek: Turizm Pazarlamasında Üretken Yapay Zeka Üzerine Bir Araştırma

Yıl 2023, Cilt: 7 Sayı: 2 - Uluslararası Güncel Turizm Araştırmaları Dergisi, 93 - 105, 29.12.2023

Akın Akpur

https://doi.org/10.30625/ijctr.1325428

Öz

Bu çalışmanın amacı, yapay zekâ teknolojilerinin turizm pazarlamasına yönelik potansiyelinin değerlendirilmesi ve tatil önerilerinde kullanılan kalıpların anlaşılmasını sağlamaktır. Bu kapsamda OpenAI tarafından geliştirilen ChatGPT adlı yapay zekâ dil modelinin farklı bütçelerde tatil planlama görevine verdiği cevapların içerik ve tasarım açısından anlaşılması amaçlanmıştır. Bu çalışma keşifsel bir araştırma olarak tasarlanmış olup bir yapay zekâ teknolojisi olan ChatGPT ile mülakat tekniğinden elde edilen veriler içerik analizi ile değerlendirilmiştir. Bu kapsamda MASQDA nitel analiz programından yararlanılmış olup kelime frekansı, kelime bulutu ve etkileşimli kelime ağacı veri ve görsellerinden faydalanılmıştır. Araştırmada günlük tatil bütçesi 50 ile 1000 dolar arasında değişen değerler verilerek "ChatGPT Model 4”’ten tatil destinasyonu için öneride bulunmasına yönelik istekte bulunulmuştur.. Çalışma kapsamında elde edilen sonuçlar ChatGPT'nin farklı bütçe limitlerine uygun kişiselleştirilmiş yanıtlar sunma yeteneğine sahip olduğunu göstermektedir. Önerilerin genel olarak konaklama, yeme içme (restoranlar)ve diğer çekicilikler başlıkları altında yapıldığı tespit edilmiştir. Bununla birlikte bölgelere özgü öğelerin vurgulandığı ve benzer kalıplarla cevapların verildiği görülmektedir. Çalışmanın turizm pazarlamacılarına ve teorisyenlere yapay zekâ alanında yeni bir bakış açısı sağlayacağı düşünülmektedir. Çalışma yapay zekâ uygulamalarının seyahat danışmanı olarak kullanılma potansiyelini konu alması bakımından literatüre katkı sağlayacağı öngörülmektedir.

Anahtar Kelimeler

ChatGPT, Turizm Pazarlaması, Seyahat Danışmanı, Yapay Zekâ

Destekleyen Kurum

Çalışma herhangi bir kurum/kuruluş tarafından desteklenmemektedir.

Exploring The Capabilities of Chatgpt As A Travel Advisor: A Study on the Use of Generatıve AI in Tourism Marketing

Öz

The aim of this study is to evaluate the potential of artificial intelligence technologies in tourism marketing and understand the patterns used in holiday recommendations. In this context, the artificial intelligence language model ChatGPT, developed by OpenAI, was utilized to provide responses for holiday-planning tasks with different budgets. This study was designed as exploratory research, and the data obtained through the interview technique with ChatGPT, an artificial intelligence technology, was evaluated through content analysis. The MASQDA qualitative analysis program was used for this purpose, and data and visuals, such as word frequency, word cloud, and interactive word tree, were utilized. Requests were made for holiday destination recommendations from "ChatGPT Model 4" by providing values ranging from $50 to $1000 as daily holiday budgets. The results obtained within the scope of the study indicate that ChatGPT has the ability to provide personalized responses suitable for different budget limits. It was found that the recommendations were generally made under the categories of accommodation, dining (restaurants), and other attractions. Additionally, region-specific elements were emphasized, and similar patterns were used in the responses. It is believed that this study will provide a new perspective on artificial intelligence for tourism marketers and theorists. The study is expected to contribute to the literature by addressing the potential use of artificial intelligence applications as travel advisors.

Anahtar Kelimeler

ChatGPT, Tourism Marketing, Travel Advisor, Artifical Intelligence

Kaynakça

• Ahn, C. (2023). Exploring ChatGPT for information of cardiopulmonary resuscitation. Resuscitation, 185. http://doi.org/10.1016/j.resuscitation.2023.109729
• Alafnan, M., Dishari, S., Jovic, M., ve Lomidze, K. (2023). ChatGPT as an educational tool: Opportunities, challenges, and recommendations for communication, Business Writing, and Composition Courses, 3. 60-68. https://doi.org/10.37965/jait.2023.0184
• Berno, T., Dentice, G., ve Wisansing, J. (2019). Kin kao laew reu young (‘Have You Eaten Rice Yet’)?: A New Perspective on Food and Tourism in Thailand. Food Tourism in Asia. https://doi.org/10.1007/978-981-13-3624-9_2
• Bhattacharya, K., Bhattacharya, A. S., Bhattacharya, N., Yagnik, V. D., Garg, P., ve Kumar, S. (2023). ChatGPT in surgical practice—a new kid on the block. Indian Journal of Surgery. http://doi.org/10.1007/s12262-023-03727-x
• Bilge, A. C. (2023). Bir yapay zekâ destekli dil modeli olan chatGPT’nin turizm sektöründe potansiyel ve hayata geçen uygulamaları. Journal of Recreation and Tourism Research, 10(3), 139-155.
• Biswas, S. S. (2023). Potential use of Chat GPT in global warming. Annals of Biomedical Engineering. http://doi.org/10.1007/s10439-023-03171-8
• Cherkasova, L. (2023). Digitalization as an innovative component of the national and regional tourist product. 15th International Scientific Conference on Precision Agriculture and Agricultural Machinery Industry, INTERAGROMASH 2022, (s. 322-330).
• Cyphert, A. B. (2021). A human being wrote this law review article: GPT-3 and the practice of law. WVU College of Law Research Paper Forthcoming, https://ssrn.com/abstract=4090984
• Coşkun, R., Altunışık, R., Bayraktaroğlu, S., ve Yıldırım, E. (2015). Sosyal Bilimlerde Araştırma Yöntemleri: Sakarya, Sakarya Yayıncılık
• de Oliveira Belino Bonfim, I., Teles, M. A., Gomes, B. M., ve Chavez, E. S. (2022). Tour agencies in Curitiba /PR- Brazil and their social representaion as a result of technological innovations. PASOS Revista de Turismo y Patrimonio Cultural, 20(4), 823-835. http://doi.org/10.25145/j.pasos.2022.20.055
• Deng, J., ve Lin, Y. (2022). The benefits and challenges of chatGPT: An overview. Frontiers in Computing and Intelligent Systems, 2(2), 81–83. https://doi.org/10.54097/fcis.v2i2.4465
• Dong, Z. (2022). Research on ımage perception of red tourism scenic spot based on computer text data - a case study of jiaxing nanhu scenic spot. 6th International Conference on Electronic Information Technology and Computer Engineering, EITCE 2022 (s. 1272-1276). ACM International Conference Proceeding Series. http://doi.org/10.1145/3573428.3573654
• Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., . . . Albashrawi, M. A. (2023). “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International Journal of Information Management, 71. http://doi.org/10.1016/j.ijinfomgt.2023.102642
• Erul, E., ve Işın, A. (2023). ChatGPT ile sohbetler: Turizmde chatGPT’nin önemi (Chats with ChatGPT: Importance of ChatGPT in Tourism). Journal of Tourism and Gastronomy Studies, 11(1), 780-793.
• Floridi, L., ve Chiriatt, M. (2020). GPT 3: Its nature, scope, limits, and consequences. Minds and Machines, 30, 681-694. http://doi.org/10.1007/s11023-020-09548-1
• Gilson, A., Safranek, C. W., Huang, T., Socrates, V., Taylor, R. A., ve Chartash, D. (2023). How does ChatGPT perform on the United States medical licensing examination? The Implications of Large Language Models for Medical Education and Knowledge Assessment. JMIR Medical Education. http://doi.org/10.2196/45312
• Gimpel, H., Hall, K., Decker, S., Eymann, T., Lämmermann, L., Mädche, A., . . . Vandirk, S. (2023). Unlocking the power of generative AI models and systems such as GPT-4 and ChatGPT for higher education. Hohenheim Discussion Papers in Business, Economics and Social Sciences.
• Guerra-Pujol, F. E. (2023). How i learned to love GPT-3. UCF Faculty Focus, 22(1), 25.
• Guzzo, T., Ferri, F., ve Grifoni, P. (2022). What factors make online travel reviews credible? the consumers’ credibility perception-concept model. Societies, 12(2). http://doi.org/10.3390/soc12020050
• Güçlütürk, O. G. (2022). ChatGPT ile üretilen içeriklerin eser niteliğinin 5846 sayılı fikir ve sanat eserleri kanunu bakımından değerlendirilmesi. Galatasaray Üniversitesi Hukuk Fakültesi Dergisi, 2, 1899-1918.
• Haktanır, E., Kahraman, C., Şeker, K., ve Doğan, O. (2022, November 15). Future of digital transformation. Intelligent Systems in Digital Transformation, 611–638. https://doi.org/10.1007/978-3-031-16598-6_26
• Hua, L., Ramayah, T., Ping, T., ve Cheah, J. (2017). Social media as a tool to help select tourism destinations: The case of malaysia. Information Systems Management, 34, 265-279. https://doi.org/10.1080/10580530.2017.1330004
• Jiménez-Barreto, J., Rubio, N., Mura, P., Sthapit, E., ve Campo, S. (2023). “Ask Google assistant where to travel” tourists’ interactive experiences with smart speakers: an assemblage theory approach. Journal of Travel Research, 62(4), 734-752. http://doi.org/10.1177/00472875221094073
• Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., . . . Kutyniok, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103. http://doi.org/10.1016/j.lindif.2023.102274
• Katz, D. M., Bommarito, M. J., Gao, S., ve Arredondo, P. (2023). GPT-4 passes the bar exam. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4389233
• Kazak, A., Sergeeva, E., Kushkhova, Z., Ryvkina, O., ve Tsay, E. (2022). Information technologies and E-commerce in education in the sphere of tourism and hospitality. 2022 International Scientific Conference on Fundamental and Applied Scientific Research in the Development of Agriculture in the Far East, AFE 2022. 371. Tashkent: EDP Sciences. http://doi.org/10.1051/e3sconf/202337105009
• Khalil, M., ve Er, E. (2023). Will ChatGPT get you caught? Rethinking of plagiarism detection. ArXiv, abs/2302.04335. https://doi.org/10.48550/arXiv.2302.04335
• Kim, S.-G. (2023). Using ChatGPT for language editing in scientific articles. Maxillofacial Plastic and Reconstructive Surgery. http://doi.org/10.1186/s40902-023-00381-x
• Lew, A. (2011). Understanding Experiential Authenticity through the Best Tourism Places. Tourism Geographies, 13, 570-575. https://doi.org/10.1080/14616688.2011.588245
• Lim, W. M., Gunasekara, A., Pallant, J. L., Pallant, J. I., ve Pechenkina, E. (2023). Generative AI and the future of education: Ragnarök or reformation? A paradoxical perspective from management educators. The International Journal of Management Education, 21(2). http://doi.org/10.1016/j.ijme.2023.100790
• Liu, Q., ve Wei, Q. (2023). Computer-aid internet of things system structure for urban tourist attractions. Computer-Aided Design and Applications, 20(S2), 131-142. http://doi.org/10.14733/cadaps.2023.S2.131-142
• Liu, Y. (2022). Analysis of tourist destination image perception based on web data mining technology - take Wuzhen Scenic Area in Zhejiang Province as an example. 6th International Conference on Electronic Information Technology and Computer Engineering, EITCE 2022 (s. 1327-1331). ACM International Conference Proceeding Series. http://doi.org/10.1145/3573428.3573664
• Lu, J., Xiao, X., Xu, Z., Wang, C., Zhang, M., ve Zhou, Y. (2021). The potential of virtual tourism in the recovery of tourism industry during the COVID-19 pandemic. Current Issues in Tourism, 25, 441-457. https://doi.org/10.1080/13683500.2021.1959526
• Macdonald, C., Adeloye, D., Sheikh, A., ve Rudan, I. (2023). Can ChatGPT draft a research article? An example of population-level vaccine effectiveness analysis. Journal of Global Health, 13. http://doi.org/10.7189/jogh.13.01003
• Mai, H. T., Huy, D. T., Hoa, L. H., ve Trang, T. D. (2023). Digital and technological solutions for Vietnam tourism services development. 4th International Conference on Data and Information Sciences, ICDIS 2022 (s. 515-522). Lecture Notes in Networks and Systems. http://doi.org/10.1007/978-981-19-5292-0_48
• Mehmetoglu, M., ve Normann, Ø. (2013). What influences tourists’ overall holiday experience? Tourism company products versus destination products. European Journal of Tourism Research, 6(2), 183-191.
• Neill, L., ve Say, L. (2021). Touristic gazing and tasting in the Cambodian cuisine. Journal of Gastronomy and Tourism, 5(3), 129-143.
• OpenAI. (2023). Product GPT-4. (3 Nisan 2023) https://openai.com/product/gpt-4
• Pradhan, D., Moharana, T. R., ve Malik, G. (2023). Influence of celebrity, destination and tourist personality on destination attachment and revisit intention: Moderating roles of endorsement embeddedness, destination crowding and gender. Journal of Destination Marketing and Management, 27. http://doi.org/10.1016/j.jdmm.2022.100754
• Robinson, B. (2023). Speculative propositions for digital writing under the new autonomous model of literacy. Postdigital Science and Education, 5, 117-135. http://doi.org/10.1007/s42438-022-00358-5
• Roth-Cohen, O., ve Lahav, T. (2018). Going undercover: Online domestic tourism marketing communication in closed and open Facebook groups. Journal of Vacation Marketing, 25, 349-362. https://doi.org/10.1177/1356766718796054
• Salvagno, M., Taccone, F. S., ve Gerli, A. G. (2023). Can artificial intelligence help for scientific writing? Critical Care, 27(1). http://doi.org/10.1186/s13054-023-04380-2
• Sánchez Rivero, M., Murillo González, L., ve Rodríguez Rangel, M. C. (2022). The online reputation of tourism brands and their dependence on pandemic scenarios: An analysis of the "Hospederías De Extremadura" brand before and during COVID-19. Journal of Environmental Management and Tourism, 13(8), 2333-2347. http://doi.org/10.14505/jemt.v13.8(64).25
• Seyidoğlu, H. (2020). Bilimsel Araştırma ve Yazma El Kitabı (12. Baskı), İstanbul: Güzem Can Yayınları
• Simshaw, D. (2022). Access to A.I. justice: Avoiding an inequitable two-tiered system of legal services. Yale Journal of Law & Technology.
• Subramani, M., Jaleel, I., ve Mohan, S. K. (2023). Evaluating the performance of ChatGPT in medical physiology university examination of phase IMBBS. Advances in physiology education, 47(2), 270-271. http://doi.org/10.1152/advan.00036.2023
• Suhud, U., Allan, M., Prihandono, D., ve Monoarfa, T. A. (2023). We are cyborgs: The role of narcissism and self-esteem to become social media and tourism addicts. International Journal of Data and Network Science, 7(1), 73-82. http://doi.org/10.5267/j.ijdns.2022.12.004
• Tingiris, S., ve Kinsella, B. (2021). Exploring GPT-3. Packt Publishing.
• Tlili, A., Shehata, B., Adarkwah, M. A., Bozkurt, A., Hickey, D. T., Huang, R., ve Agyemang, B. (2023). What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education. Smart Learning Environments, 10(1). http://doi.org/10.1186/s40561-023-00237-x
• UNWTO. (2023). (8 Ekim 2023) https://www.unwto.org/news/tourism-on-track-for-full-recovery-as-new-data-shows-strong-start-to-2023#:~:text=New%20Data%20from%20UNWTO%3A%20What%20We've%20Learned&text= Overall%2C%20international%20arrivals%20reached%2080,continued%20to%20show%20its%20resi Volchek, K., ve Brysch, A. (2023). Metaverse and tourism: From a new niche to a transformation. 30th Annual International eTourism Conference, ENTER 2023 (s. 300-311). Springer Proceedings in Business and Economics. http://doi.org/10.1007/978-3-031-25752-0_32
• Vrana, V., ve Zafiropoulos, K. (2006). Tourism agents' attitudes on internet adoption: an analysis from Greece. International Journal of Contemporary Hospitality Management, 18, 601-608. https://doi.org/10.1108/09596110610703039
• Zang, F. (2022). Application analysis of web data mining technology in tourism operation – a case study of Chunan Qiandao Lake scenic area. Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering. https://doi.org/10.1145/3573428.3573629