RAQAMLI IQTISODIYOT SHAROITIDA O‘ZBEKISTONDA SUN’IY INTELLEKT ASOSIDA MARKETING SAMARADORLIGINI OSHIRISH MEXANIZMLARI
DOI:
https://doi.org/10.5281/zenodo.18761017Keywords:
sun’iy intellekt, raqamli iqtisodiyot, marketing samaradorligi, Big Data, marketingni avtomatlashtirish, mijoz tajribasi, segmentatsiya, personalizatsiya, reklama optimallashtirish, raqobat ustunligi, sun’iy intellekt platformalari, marketing transformatsiyasiAbstract
Ushbu maqolada raqamli iqtisodiyot sharoitida O‘zbekistonda marketing jarayonlarini sun’iy intellekt asosida
rivojlantirish mexanizmlari tahlil qilingan. Tadqiqotda sun’iy intellekt texnologiyalarining marketing samaradorligini
oshirishdagi o‘rni, ma’lumotlarga asoslangan qaror qabul qilish jarayonlarini takomillashtirish, auditoriyani segmentatsiya
qilish, shaxsiylashtirilgan reklama yaratish hamda mijoz tajribasini boshqarishdagi ahamiyati yoritilgan. Shuningdek,
maqolada korxonalarda sun’iy intellekt platformalaridan foydalanish mexanizmlari, marketing kampaniyalarini avtomatik
optimallashtirish, reklama samaradorligini real vaqt rejimida monitoring qilish hamda raqobat ustunligini ta’minlash
imkoniyatlari asoslab berilgan.
References
1. Davenport, T. H., & Ronanki, R. (2018). Artificial Intelligence for the Real World. Harvard Business Review, 96(1),
108–116.
2. Chaffey, D., & Ellis-Chadwick, F. (2019). Digital Marketing: Strategy, Implementation and Practice (7th ed.). Pearson
Education Limited.
3. Wedel, M., & Kannan, P. K. (2016). Marketing analytics for data-rich environments. Journal of Marketing, 80(6), 97–121.
4. Kumar, V., Dixit, A., Javalgi, R. G., & Dass, M. (2016). Research framework, strategies, and applications of intelligent
agent technologies (IATs) in marketing. Journal of the Academy of Marketing Science, 44(1), 24–45.
5. Huang, M.-H., & Rust, R. T. (2018). Artificial Intelligence in Service. Journal of Service Research, 21(2), 155–172.
6. Shankar, V., et al. (2021). Digital marketing communication in global marketplaces: A review of extant research, future
directions, and potential approaches. International Journal of Research in Marketing, 38(2), 246–270.
7. Bughin, J., Seong, J., Manyika, J., Chui, M., & Joshi, R. (2018). Notes from the AI frontier: Applications and value of
deep learning. McKinsey Global Institute.
8. O‘zbekiston Respublikasi Prezidentining 2024-yil 14-oktyabrdagi “Sunʼiy intellekt texnologiyalarini 2030-yilga qadar
rivojlantirish strategiyasini tasdiqlash toʻgʻrisida” PQ-358-son Qarori. https://www.lex.uz/docs/-7158604
9. Olimjonovich, M. T. (2024). Digital transformation in Uzbekistan and new opportunities for small business. Journal of
Law and Economics, 7(12), 89–96.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 GREEN ECONOMY AND DEVELOPMENT

This work is licensed under a Creative Commons Attribution 4.0 International License.