IDEAS home Printed from https://ideas.repec.org/a/teu/ged000/v2y2024i11id3771.html

Barqaror raqamli turizmning rivojlanish modellari: zamonaviy yondashuvlar va istiqbolli strategiyalar

Author

Listed:
  • Madina Shirinova
  • Azamat Kaxorov

Abstract

Mazkur tadqiqot barqaror turizm modellariga raqamli texnologiyalarni integratsiya qilishning iqtisodiy,ekologik va ijtimoiy ta’sirlarini o‘rganadi. COVID-19 pandemiyasi turizmning an’anaviy modellarining zaif tomonlariniko‘rsatib berdi va raqamli yechimlarni joriy etish zaruratini oshirdi. Sun’iy intellekt (AI), blockchain, virtual voqelik (VR)va katta ma’lumotlar tahlili orqali turizm samaradorligini oshirish imkoniyatlari tadqiq qilindi. Natijalar shuni ko‘rsatadiki,AI va blockchain daromadlarni 20% gacha oshirib, xarajatlarni 15% ga kamaytirishi, VR esa ekologik zararni 18-20% gaqisqartirishi mumkin. Tadqiqotda hujjatlarni tahlil qilish, iqtisodiy modellashtirish va ekspertlar so‘rovlari asosida xalqarotajriba va O‘zbekiston turizm sohasidagi raqamlashtirish darajasi o‘rtasida solishtirma tahlil olib borildi. O‘zbekistondagiraqamli infratuzilmaning rivojlanmaganligi kabi muammolar global raqobatda mamlakat imkoniyatlarini cheklabqo‘yayotgani aniqlangan. Muhokamada infratuzilmani modernizatsiya qilish, AI asosidagi platformalarni joriy etish vadavlat-xususiy hamkorlikni kuchaytirish zarurligi ta’kidlandi. Raqamli texnologiyalarni qo‘llashning ekologik va iqtisodiyfoydalari ularning boshlang‘ich xarajatlariga nisbatan ustunroq ekanligi qayd etilgan. Xulosa o‘rnida, raqamli texnologiyalarturizmni samarali boshqarish, ekologik zararni kamaytirish va daromadlarni oshirish orqali sohaga yangi istiqbollar ochibbermoqda. Tadqiqot siyosatchilar uchun raqamli savodxonlikni oshirish, infratuzilmani kengaytirish va innovatsiyalarnikeng joriy etish bo‘yicha amaliy tavsiyalar beradi.

Suggested Citation

  • Madina Shirinova & Azamat Kaxorov, 2024. "Barqaror raqamli turizmning rivojlanish modellari: zamonaviy yondashuvlar va istiqbolli strategiyalar," GREEN ECONOMY AND DEVELOPMENT, "Ma'rifat-Print-Media" LLC, Tashkent State University of Economics, vol. 2(11), November.
    • Handle: RePEc:teu:ged000:v:2:y:2024:i:11:id:3771
    DOI: 10.5281/zenodo.14511988
    as

    Download full text from publisher

    File URL: https://yashil-iqtisodiyot-taraqqiyot.uz/journal/index.php/GED/article/view/3771
    File Function: Abstract page
    Download Restriction: no
    File URL: https://libkey.io/10.5281/zenodo.14511988?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:teu:ged000:v:2:y:2024:i:11:id:3771. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Xayrulla (email available below). General contact details of provider: https://yashil-iqtisodiyot-taraqqiyot.uz/journal/index.php/GED .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.