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TURIZMDA MA'LUMOTLARNI QAYTA QILISHNING XUSUSIYATLARI VA ULARDAN FOYDALANISH IMKONIYATLARI

Tashkilot
Toshkent davlat iqtisodiyot universiteti Turizm va mehmonxona xo‘jaligi kafedrasi professori

Annotatsiya

Ushbu tadqiqot turizm sohasida ma’lumotlar tahlilining integratsiyasi va ta’sirini o‘rganadi. Tadqiqotda mijozlarga xizmat ko‘rsatish, narx belgilash strategiyalari va inventarizatsiyani boshqarish kabi operatsion yo‘nalishlarda ma’lumotlar tahlilining qo‘llanilishi ko‘rib chiqilgan. So‘rovnomalar va adabiyotlar sharhi asosida aralash uslubdagi yondashuv orqali olib borilgan tadqiqot natijalari ma’lumotlar tahlilining mijozlar qoniqishini oshirish va daromadni ko‘paytirish kabi salmoqli foydalarini aniqlayd i. Shu bilan birga, tadqiqotda ma’lumotlar maxfiyligi bilan bog‘liq xavotirlar hamda, ayniqsa kichik turizm korxonalarida ilg‘or tizimlarni mavjud infratuzilmaga integratsiya qilishdagi murakkabliklar kabi muhim muammolar ko‘rsatilgan. Tadqiqot xulosasiga ko‘ra, ma’lumotlar tahlili turizm sohasida tub o‘zgarishlar qilish imkoniyatiga ega bo‘lsa -da, bu imkoniyatlardan to‘liq foydalanish uchun axloqiy va amaliy muammolarni hal qilish zarur. Tadqiqot sanoat bo‘ylab ma’lumotlar tahlili vositalariga teng huquqli kirishni ta’minlash maqsadida ishonchli axloqiy qoidalar va qo‘llab -quvvatlovchi siyosatlarni ishlab chiqishni tavsiya etadi.

Kalit so'zlar

Ma’lumotlar tahlili, turizm sohasi, mijozlar qoniqishi, dinamik narxlash, axloqiy muammolar, texnologik integratsiya


Adabiyotlar ro'yxati

  1. Abduvahidov, A.M. "Electronic business in tourism." Study Guide (2020).the field of tourism in Uzbekistan //Builders of the future. - 2022. - T. 2. – no. 02. – S. 221 -
  2. Abduvahidov A. M., Nazarov. A. X. QISHLOQ XO ‘JALIGI TARMOG ‘INI ZAMONAVIY AXBOROT TEXNOLOGIYALARI ORQALI RAQAMLASHTIRISH VA INNOVATSIYALARNI JADALLASHTIRISH ISTIQBOLLARI //QO‘QON UNIVERSITETI XABARNOMASI. – 2023. – Т. 9. – С. 26-30.
  3. Nazarov. A. X. MULTISERVISLI TARMOQNI TEZKOR BOSHQARISH USULLARI. O'ZBEKISTONDA FANLARARO INNOVATSIYALAR VA ILMIY TADQIQOTLAR JURNALI , 2(17), 611 -615. Brown, J., Cheng, M., & Zhang, Y. (2020). Real-Time Data Analytics in Tourism: Tools and Insights . Hospitality Management, 48, 112 -127.
  4. Greenberg, P., & Zakhour, S. (2019). Strategic Data -Driven Decision Making in Tourism Marketing . International Journal of Tourism Research, 21(4), 457 -470.
  5. Gupta, S., & Zhang, X. (2023). Ethical Considerations in the Use of Data Analytics in Tourism . Journal of Business Ethics, 160(1), 45 -59.
  6. Jones, A., Smith, B., & Liu, X. (2022). Predictive Analytics in Tourism: Anticipating Market Trends for Better Resource Management . Tourism Economics, 28(2), 406 -422.
  7. Kapoor, A., & Dwivedi, Y. (2018). Machine Learning Applications in Tourism: A Cost -Benefit Analysis . Advances in Hospitality and Tourism Research, 6(2), 213 -
  8. Lee, J., & Song, H. (2020). Using Neural Networks to Predict Hotel Booking Cancellations . Journal of Travel Research, 59(1), 22 -37.
  9. Meyer, D., Singh, S., & Reddy, K. (2020). The Impact of IoT in Tourism: Opportunities and Challenges . Journal of Travel Technology, 5(3), 200 -215.
  10. Patel, V., & Jackson, P. (2023). Artificial Intelligence in Tourism: Future Directions and Applications . Technology and Tourism, 7(1), 99 -114.
  11. Singh, S., & Reddy, K. (2021). Dynamic Pricing Models in Tourism: A Data - Driven Approach . Journal of Pricing Strategy, 12(4), 234 -249.
  12. Thompson, R., & Schaler, T. (2021). Data Privacy and Security in Tourism: A Critical Analysis . Journal of Information Technology & Tourism, 23(1), 55 -70.
  13. Wang, D., & Fesenmaier, D. R. (2022). Using Machine Learning to Enhance Destination Management . Journal of Destination Marketing & Management, 18, 100 -

Yuklab olishlar

Yuklab olish ma’lumotlari hali mavjud emas.