Илғор иқтисодиёт ва педагогик технологиялар 3-jild 3-son (2026) · 11-17-betlar
METHODOLOGY FOR DEVELOPING E-COMMERCE BASED ON ARTIFICIAL INTELLIGENCE IN THE DIGITAL ECONOMY AND ASSESSING RISKS
Aripov, Ulugbek, Арипов, Улугбек, Aripov, Ulug‘bek
Annotatsiya
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
Metadata manbasi: jurnal OAI-PMH arxivi · Sindex toʻliq matnni saqlamaydi, manbaga havola beradi.