Илғор иқтисодиёт ва педагогик технологиялар Volume 3 Issue 3 (2026) · pp. 11-17

METHODOLOGY FOR DEVELOPING E-COMMERCE BASED ON ARTIFICIAL INTELLIGENCE IN THE DIGITAL ECONOMY AND ASSESSING RISKS

Aripov, Ulugbek, Арипов, Улугбек, Aripov, Ulug‘bek

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Abstract

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

e-commerceBig Dataartificial intelligencetext-miningcustomer satisfactionrisk analysisdigital logisticsэлектронная коммерциябольшие данныеискусственный интеллект

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Cite

APA 7 
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.
GOST R 7.0.5 
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. Т. 3. № 3. С. 11-17.
BibTeX 
@article{ulugbek2026,
  author  = {Aripov, Ulugbek and Арипов, Улугбек and Aripov, Ulug‘bek},
  title   = {METHODOLOGY FOR DEVELOPING E-COMMERCE BASED ON ARTIFICIAL  INTELLIGENCE IN THE DIGITAL ECONOMY AND ASSESSING RISKS},
  journal = {Илғор иқтисодиёт ва педагогик технологиялар},
  year    = {2026},
  volume  = {3},
  number  = {3},
  pages   = {11-17}
}
RIS 
TY  - JOUR
AU  - Aripov, Ulugbek
AU  - Арипов, Улугбек
AU  - Aripov, Ulug‘bek
TI  - METHODOLOGY FOR DEVELOPING E-COMMERCE BASED ON ARTIFICIAL  INTELLIGENCE IN THE DIGITAL ECONOMY AND ASSESSING RISKS
JO  - Илғор иқтисодиёт ва педагогик технологиялар
PY  - 2026
VL  - 3
IS  - 3
SP  - 11
EP  - 17
ER  -