IDEAS home Printed from https://ideas.repec.org/a/teu/ged000/v3y2025i6id6159.html

Aylanma kapital bilan ishlashda samaradorlikni oshirish: korxona moliya siyosatini takomillashtirish yo‘nalishlarida data science yondashuvlari

Author

Listed:
  • Doniyor Khoshimov
  • Ilmurod Kungratov

Abstract

Maqolada korxonalar moliyaviy siyosatining muhim elementi bo‘lgan aylanma kapitalni boshqarishda DataScience (ma’lumotlar fanlari) yondashuvlaridan foydalanish orqali samaradorlikni oshirish imkoniyatlari o‘rganiladi.Aylanma kapitalning aylanish tezligi, likvidlik darajasi va moliyaviy oqimlarga ta’siri real vaqtli tahlil, prognoz modellar vamashinaviy o‘rganish algoritmlari asosida baholanadi. Tadqiqotda zamonaviy statistik metodlar yordamida O‘zbekistonkorxonalarining moliyaviy ko‘rsatkichlari tahlil qilinib, ishlab chiqarish siklini optimallashtirish, kredit riskini kamaytirish,qaror qabul qilishni avtomatlashtirish bo‘yicha ilmiy asoslangan takliflar ishlab chiqiladi. Yondashuvlar O‘zbekistonPrezidentining raqamli iqtisodiyotni jadallashtirishga doir farmonlarida belgilangan vazifalar bilan bevosita bog‘liq bo‘lib,real sektorni raqamlashtirish orqali korxonalarda moliyaviy barqarorlikni mustahkamlashga xizmat qiladi.

Suggested Citation

  • Doniyor Khoshimov & Ilmurod Kungratov, 2025. "Aylanma kapital bilan ishlashda samaradorlikni oshirish: korxona moliya siyosatini takomillashtirish yo‘nalishlarida data science yondashuvlari," GREEN ECONOMY AND DEVELOPMENT, "Ma'rifat-Print-Media" LLC, Tashkent State University of Economics, vol. 3(6), June.
    • Handle: RePEc:teu:ged000:v:3:y:2025:i:6:id:6159
    DOI: 10.5281/zenodo.15776872
    as

    Download full text from publisher

    File URL: https://yashil-iqtisodiyot-taraqqiyot.uz/journal/index.php/GED/article/view/6159
    File Function: Abstract page
    Download Restriction: no
    File URL: https://yashil-iqtisodiyot-taraqqiyot.uz/journal/index.php/GED/article/download/6159/4429
    File Function: Full text
    Download Restriction: no
    File URL: https://libkey.io/10.5281/zenodo.15776872?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:3:y:2025:i:6:id:6159. 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.