In this article, a multifactor econometric model was developed to forecast the volume of e-commerce services in Uzbekistan and its reliability was assessed based on relevant statistical approaches. The study analyzed the impact of factors through elasticity indicators and determined the degree of their impact on the resulting indicator. Also, the future development prospects of e-commerce were forecasted based on pessimistic, inertial and optimistic scenarios, and the growth trends of the industry were substantiated
| Mualliflar | Aripov , Ulugbek, Арипов , Улугбек, Aripov , Ulug‘bek |
|---|---|
| Jurnal | Илғор иқтисодиёт ва педагогик технологиялар |
| Nashriyot | Тошкент давлат иқтисодиёт университети ҳузуридаги «Ўзбекистон иқтисодиётини ривожлантиришнинг илмий асослари ва муаммолари» илмий-тадқиқот маркази |
| ISSN | 1994-2025 |
| Nashr sanasi | 2026-05-06 |
| Jild | 3 |
| Son | 3 |
| Betlar | 11-17 |
| Til | Ingliz |
| Ilmiy soha | Iqtisodiyot |
| DOI | 10.60078/3060-4842-2026-vol3-iss3-pp11-17 |
| Indeksga qo‘shilgan | 2026-08-26 |
DOI: 10.60078/3060-4842-2026-vol3-iss3-pp11-17 · Maqolaning asl sahifasi
e-commerce, Big Data, artificial intelligence, text-mining, customer satisfaction, risk analysis, digital logistics, электронная коммерция, большие данные, искусственный интеллект, анализ текста, удовлетворенность клиентов, анализ рисков, цифровая логистика, elektron tijorat, Big Data, sun’iy intellekt, text-mining, mijoz qoniqishi, risklar tahlili, raqamli logistika
| APA | Aripov , Ulugbek, Арипов , Улугбек, & Aripov , Ulug‘bek (2026). METHODOLOGY FOR DEVELOPING E-COMMERCE BASED ON ARTIFICIAL INTELLIGENCE IN THE DIGITAL ECONOMY AND ASSESSING RISKS. Илғор иқтисодиёт ва педагогик технологиялар, 3(3), 11-17. https://doi.org/10.60078/3060-4842-2026-vol3-iss3-pp11-17 |
|---|---|
| GOST (OAK) | Aripov , Ulugbek, Арипов , Улугбек, Aripov , Ulug‘bek METHODOLOGY FOR DEVELOPING E-COMMERCE BASED ON ARTIFICIAL INTELLIGENCE IN THE DIGITAL ECONOMY AND ASSESSING RISKS // Илғор иқтисодиёт ва педагогик технологиялар. – 2026. – T. 3, № 3. – P. 11-17. – DOI: 10.60078/3060-4842-2026-vol3-iss3-pp11-17. |
| MLA | Aripov , Ulugbek, Арипов , Улугбек, and Aripov , Ulug‘bek. “METHODOLOGY FOR DEVELOPING E-COMMERCE BASED ON ARTIFICIAL INTELLIGENCE IN THE DIGITAL ECONOMY AND ASSESSING RISKS.” Илғор иқтисодиёт ва педагогик технологиялар, 3(3), 11-17, 2026. https://doi.org/10.60078/3060-4842-2026-vol3-iss3-pp11-17 |
| Chicago | Aripov , Ulugbek, Арипов , Улугбек, and Aripov , Ulug‘bek. “METHODOLOGY FOR DEVELOPING E-COMMERCE BASED ON ARTIFICIAL INTELLIGENCE IN THE DIGITAL ECONOMY AND ASSESSING RISKS.” Илғор иқтисодиёт ва педагогик технологиялар, 3(3), 11-17 (2026). https://doi.org/10.60078/3060-4842-2026-vol3-iss3-pp11-17 |
| Harvard | Aripov , Ulugbek, Арипов , Улугбек, and Aripov , Ulug‘bek (2026) ‘METHODOLOGY FOR DEVELOPING E-COMMERCE BASED ON ARTIFICIAL INTELLIGENCE IN THE DIGITAL ECONOMY AND ASSESSING RISKS’, Илғор иқтисодиёт ва педагогик технологиялар, 3(3), 11-17. https://doi.org/10.60078/3060-4842-2026-vol3-iss3-pp11-17 |
| BibTeX | @article{aripovulugbek2026,
title = {METHODOLOGY FOR DEVELOPING E-COMMERCE BASED ON ARTIFICIAL INTELLIGENCE IN THE DIGITAL ECONOMY AND ASSESSING RISKS},
author = {Aripov , Ulugbek and Арипов , Улугбек and Aripov , Ulug‘bek},
journal = {Илғор иқтисодиёт ва педагогик технологиялар},
year = {2026},
volume = {3},
number = {3},
pages = {11-17},
doi = {10.60078/3060-4842-2026-vol3-iss3-pp11-17},
url = {https://doi.org/10.60078/3060-4842-2026-vol3-iss3-pp11-17}
} |
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