TURIZM SANOATIDA CHAT-BOTLARDAN FOYDALANISH SUN’IY INTELLEKT VA AVTOMATLASHTIRISHNING MIJOZLAR TAJRIBASIGA TA’SIRI
DOI:
https://doi.org/10.54613/ku.v16i.1252Keywords:
Turizm, mehmondo‘stlik, chat-botlar, sun’iy intellekt, avtomatlashtirish, shaxsiylashtirish, mijoz tajribasi, operatsion samaradorlik.Abstract
Mazkur maqolada turizm va mehmondo‘stlik sanoatida sun’iy intellekt (AI) asosida ishlovchi chat-botlarning qo‘llanilishi va ularning mijozlar tajribasiga ta’siri tahlil qilinadi. Tadqiqotda chat-botlarning asosiy vazifalari – 24/7 rejimida mijozlarga xizmat ko‘rsatish, bronlash va rezervatsiyalarni boshqarish, shaxsiylashtirilgan tavsiyalar taqdim etish hamda safardan keyingi fikr-mulohazalarni yig‘ish jarayonlari yoritilgan. AI va mashinaviy o‘rganishga asoslangan chat-botlarning nafaqat xizmat sifatini oshirish, balki operatsion samaradorlikni kuchaytirish, xarajatlarni kamaytirish va kompaniyalarning raqobatbardoshligini ta’minlashdagi o‘rni alohida ko‘rsatib berilgan. Shuningdek, ovozli tarjima, kengaytirilgan reallik (AR) va prediktiv tahlil kabi yangi texnologiyalar integratsiyasi chat-botlarning kelajakdagi imkoniyatlarini yanada kengaytirishi mumkinligi ta’kidlangan. Natijada, chat-botlar turizm sohasida nafaqat xizmat ko‘rsatish vositasi, balki shaxsiylashtirilgan, uzluksiz va samarali mijoz tajribasini yaratishda muhim raqamli hamkor sifatida qaralmoqda.
Foydalanilgan adabiyotlar:
1. Akhtar, N., Gupta, P., Taheri, B., & Alghafes, R. (2026). Unveiling the role of chatbot conversational attributes of hospitality booking platforms in developing users’ creepiness and paradoxical behaviors. International Journal of Hospitality Management, 133. https://doi.org/10.1016/j.ijhm.2025.104428
2. Chang, J. Y.-S., Cheah, J.-H., Lim, X.-J., & Morrison, A. M. (2023). One pie, many recipes: The role of artificial intelligence chatbots in influencing Malaysian solo traveler purchase intentions. Tourism Management Perspectives, 49. https://doi.org/10.1016/j.tmp.2023.101191
3. Chatbot Market Size | Share, Growth Drivers & Opportunities - [2033]. https://www.marketsandmarkets.com/Market-Reports/chatbot-market-72302363.html
4. Holz, H. F., & Paluch, S. (2026). Virtual Bots in Tourism. Reference Module in Social Sciences, 591–599. https://doi.org/10.1016/B978-0-443-13701-3.00526-0
5. Huang, A., Ozturk, A. B., Zhang, T., de la Mora Velasco, E., & Haney, A. (2024). Unpacking AI for hospitality and tourism services: Exploring the role of perceived enjoyment on future use intentions. International Journal of Hospitality Management, 119. https://doi.org/10.1016/j.ijhm.2024.103693
6. Ivanov, S., & Webster, C. (2024). Automated decision-making: Hoteliers’ perceptions. Technology in Society, 76, 102430. https://doi.org/10.1016/J.TECHSOC.2023.102430
7. Kim, J. H., Kim, J., Baek, T. H., & Kim, C. (2025). ChatGPT personalized and humorous recommendations. Annals of Tourism Research, 110. https://doi.org/10.1016/j.annals.2024.103857
8. Koo, I., Zaman, U., Ha, H., & Nawaz, S. (2025). Assessing the interplay of trust dynamics, personalization, ethical AI practices, and tourist behavior in the adoption of AI-driven smart tourism technologies. Journal of Open Innovation: Technology, Market, and Complexity, 11. https://doi.org/10.1016/j.joitmc.2024.100455
9. Meng, L. (Monroe), Li, T., Shi, X. (Crystal), & Huang, X. (2023a). Double-sided messages improve the acceptance of chatbots. Annals of Tourism Research, 102. https://doi.org/10.1016/j.annals.2023.103644
10. Pitakaso, R., Golinska-Dawson, P., Luesak, P., Srichok, T., & Khonjun, S. (2025). Embracing open innovation in hospitality management: Leveraging AI-driven dynamic scheduling systems for complex resource optimization and enhanced guest satisfaction. Journal of Open Innovation: Technology, Market, and Complexity, 11(1), 100487. https://doi.org/10.1016/J.JOITMC.2025.100487
11. Thi Khanh Chi, N. (2022). Transforming travel motivation into intention to pay for nature conservation in national parks: The role of Chatbot e-services. Journal for Nature Conservation, 68. https://doi.org/10.1016/j.jnc.2022.126226
12. Thorsten, M. (2026). The Evolution of Tourism, Hospitality, and Service Management. In International Encyclopedia of Business Management. https://doi.org/10.1016/B978-0-443-13701-3.00602-2
13. Traversa, F. (2026). Artificial Intelligence in Tourism. Reference Module in Social Sciences, 567–570. https://doi.org/10.1016/B978-0-443-13701-3.00344-3
14. Wei, D. (2022). Gemiverse: The blockchain-based professional certification and tourism platform with its own ecosystem in the metaverse. International Journal of Geoheritage and Parks, 10(2), 322–336. https://doi.org/10.1016/J.IJGEOP.2022.05.004
15. Zhang, J., Chen, Q., Lu, J., Wang, X., Liu, L., & Feng, Y. (2024a). Emotional expression by artificial intelligence chatbots to improve customer satisfaction: Underlying mechanism and boundary conditions. Tourism Management, 100. https://doi.org/10.1016/j.tourman.2023.104835
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