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Yapay zekâ uygulamalarını kullanarak espor turizmi araştırmalarının incelenmesi: ChatGPT ve ZekAI karşılaştırması

Year 2025, Volume: 7 Issue: 1, 54 - 68, 30.06.2025
https://doi.org/10.53601/tourismandrecreation.1517704

Abstract

Dijitalleşme sürecinde yaşanan gelişmeler internet tabanlı birçok uygulamanın kullanılmasına imkân sağlamıştır. Bu araştırmanın temel amacı, ChatGPT ve ZekAI yapay zekâ uygulamalarını kullanarak espor turizmi araştırmalarının evrimini, mevcut durumunu ve gelecekteki yönelimlerini belirlemektir. Espor turizmi araştırmalarının incelenmesi için Shin ve Kang (2023) tarafından oluşturulan yarı yapılandırılmış görüşme soruları uyarlama yapılarak kullanılmıştır. Görüşme soruları, her iki yapay zekâ uygulamasına farklı tarihlerde sorularak karşılaştırma yapılmıştır. Elde edilen verilerin çözümlenmesi için nitel veri analizine yönelik yazılım olan MAXQDA programı kullanılmıştır. Yapılan tematik analiz sonuçlarına göre, iki yapay zekâ uygulamasının verdiği yanıtlar arasında birtakım farklılıklar tespit edilmiştir. Bulgular incelendiğinde, espor turizmi araştırmalarının evrimi noktasında ZekAI dört çalışma konusu ortaya koyarken, ChatGPT’nin yedi çalışma konusu ortaya koyduğu belirlenmiştir. Espor turizmi araştırmalarının mevcut durumuna bakıldığında, her iki yapay zekâ uygulamasının da espor turizmi araştırmalarının diğer akademik alanlardaki araştırmalar gibi disiplinlerarası bir yaklaşım benimsediğini ve araştırmalarda kullanılan yöntemlerin benzerlik içerdiğini öne sürmüştür. Espor turizmi araştırmalarının gelecekteki yönelimlerine ilişkin bulgularda ise ZekAI üç araştırma önerisi ortaya koyarken, ChatGPT’nin altı araştırma önerisi ortaya koyduğu tespit edilmiştir. Elde edilen bulgularda, ChatGPT’nin güncel kaynakları da taradığı ve ZekAI’ye kıyasla daha uzun yanıtlar verdiği tespit edilmiştir. Sonuçlar, espor turizminin ekonomik, sosyal ve kültürel boyutlarının giderek daha fazla önem kazandığını ortaya koymaktadır.

References

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Investigating esports tourism research using artificial intelligence applications: ChatGPT versus ZekAI

Year 2025, Volume: 7 Issue: 1, 54 - 68, 30.06.2025
https://doi.org/10.53601/tourismandrecreation.1517704

Abstract

Developments in the digitalization process have enabled the use of many internet-based applications. The main purpose of this research is to determine the evolution, current status and future directions of esports tourism research using ChatGPT and ZekAI artificial intelligence applications. Semi-structured interview questions created by Shin and Kang (2023) were adapted and used to examine esports tourism research. The interview questions were asked to both artificial intelligence applications on different dates and a comparison was made. MAXQDA, a software for qualitative data analysis, was used to analyze the data obtained. According to the results of the thematic analysis, some differences were found between the responses of the two artificial intelligence applications. When the findings were analyzed, it was determined that ZekAI displayed four study topics on the evolution of esports tourism research, while ChatGPT revealed seven study topics. Considering the current state of esports tourism research, both artificial intelligence applications suggested that esports tourism research adopts an interdisciplinary approach like research in other academic fields and the methods used in research are similar. In the findings regarding the future directions of esports tourism research, it was determined that ZekAI put forward three research proposals, while ChatGPT put forward six research proposals. In the findings, it was found that ChatGPT also scanned current sources and gave longer responses compared to ZekAI. The results expose that the economic, social and cultural dimensions of esports tourism are becoming increasingly important.

References

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  • Ali, F., Yasar, B., Ali, L. & Dogan, S. (2023). Antecedents and consequences of travelers’ trust towards personalized travel recommendations offered by chatgpt. International Journal of Hospitality Management, 114, 103588, https://doi.org/10.1016/j.ijhm.2023.103588.
  • Allal-Cherif, O., Guaita-Martínez, J. & Sansaloni, E. M. (2024). Sustainable esports entrepreneurs in emerging countries: audacity, resourcefulness, ınnovation, transmission, and resilience in adversity. Journal of Business Research, 171, https://doi.org/10.1016/j.jbusres.2023.114382.
  • Altun, O., Saydam, M. B., Karatepe, T. & Dima, Ş. M. (2024). Unveiling chatgpt in tourism education: exploring perceptions, advantages and recommendations from educators. Worldwide Hospitality and Tourism Themes, 16(1), 105-118. https://doi.org/10.1108/WHATT-01-2024-0018
  • Babin, J.J., Chauhan, H.S. & Kistler, S.L. (2024). When Pretty Hurts: Beauty Premia and Penalties in eSports. Journal of Economic Behavior & Organization, 217, 726-741. https://doi.org/10.1016/j.jebo.2023.12.002
  • Baidoo-Anu, D. & Owusu Ansah, L. (2023). Education in the era of generative artificial ıntelligence (aı): understanding the potential benefits of chatgpt in promoting teaching and learning. Journal of AI. 7(1), 52-62. https://doi.org/10.61969/jai.1337500.
  • Bayram, A.T. (2018). Planlanmış davranış teorisi çerçevesinde e-spor turizmine katılma niyeti. Turizm Akademik Dergisi, 5(2), 17-31.
  • Becka, L., Antón, M. & Barrios, D. E. (2021). The Role of esports events in the tourism industry: The cases of Spain and Argentina. Handbook of Research on Pathways and Opportunities into the Business of eSports, 348–370. IGI Global. DOI: 10.4018/978-1-7998-7300-6.ch016
  • Beckmann, L. & Hark, P.F. (2024). ChatGPT and the banking business: insights from the us stock market on potential ımplications for banks. Finance Research Letters, 63(4), 1-9. https://doi.org/10.1016/j.frl.2024.105237
  • Benichou, L. & ChatGPT. (2023). The role of using chatgpt aı in writing medical scientific articles. Journal of Stomatology Oral and Maxillofacial Surgery, 124(5), 1-3. https://doi.org/10.1016/j.jormas.2023.101456.
  • Carvalho, I. & Ivanov, S. (2024). ChatGPT for tourism: Applications, benefits and risks. Tourism Review, 79(2), 290-303. DOI: 10.1108/TR-02-2023-0088.
  • Chang, J., Park, J. & Park, J. (2023). Using an artificial ıntelligence chatbot in scientific inquiry: Focusing on a guided-ınquiry activity using ınquirybot. Asia-Pacific Science Education, 9(1), 44-74. https://doi.org/10.1163/23641177-bja10062.
  • Curry, N., Baker, P. & Brookes, G. (2024). Generative AI for corpus approaches to discourse studies: a critical evaluation of chatgpt. Applied Corpus Linguistics, 4(1), 1-9. https://doi.org/10.1016/j.acorp.2023.100082.
  • Çetin, A. & Coşkuner, M. (2021). A conceptual overview of e-sports tourism as a new trend in the tourism industry. Journal of Management and Economic Studies, 3(1), 28-34. http://dx.doi.org/10.26677/TR1010.2021.723.
  • Dalgıç, A., Yaşar, E. & Demir, M. (2024). ChatGPT and learning outcomes in tourism education: the role of digital literacy and individualized learning. Journal of Hospitality, Leisure, Sport & Tourism Education, 34, 1-13. https://doi.org/10.1016/j.jhlste.2024.100481
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There are 68 citations in total.

Details

Primary Language English
Subjects Recreation Management
Journal Section Research Articles
Authors

Caner Yenisoy 0009-0008-1585-6780

Cemal Ersin Silik 0000-0001-8662-4188

Publication Date June 30, 2025
Submission Date July 17, 2024
Acceptance Date December 27, 2024
Published in Issue Year 2025 Volume: 7 Issue: 1

Cite

APA Yenisoy, C., & Silik, C. E. (2025). Investigating esports tourism research using artificial intelligence applications: ChatGPT versus ZekAI. Tourism and Recreation, 7(1), 54-68. https://doi.org/10.53601/tourismandrecreation.1517704