Tel: +998977838464
Search

No. 5 (2026)
Marketing

Ilmiy maqolalar

ELEKTRON TIJORAT BOZORIDA RISKLARNI IDENTIFIKATSIYA QILISH VA BAHOLASH MEXANIZMLARI

Published 2026-05-11

Authors
Aripov Ulugʻbek Bahodirovich
pdf (Uzbek) Google Scholar Google Scholar

Abstract

Mazkur maqolada elektron tijorat bozorida risklarni identifikatsiya qilish va
baholash mexanizmlari ilmiy asosda tadqiq etildi. Tadqiqot davomida elektron tijorat
platformalarida uchraydigan operatsion, moliyaviy, huquqiy, logistika va reputatsion
risklar tahlil qilindi. Ochiq veb-manbalar, foydalanuvchi sharhlari va davlat organlari
maʼlumotlari asosida text-mining usuli qoʻllanildi hamda mijoz qoniqishiga taʼsir
qiluvchi omillar baholandi. Tahlil natijalari elektron savdo platformalarida xizmat
sifati, shartnoma shaffofligi va logistika jarayonlari risklarni boshqarishda muhim omil
ekanligini koʻrsatdi. Sunʼiy intellekt, Big Data va raqamli monitoring
texnologiyalaridan foydalanish risklarni erta aniqlash va boshqaruv samaradorligini
oshirishga xizmat qilishi asoslandi. Tadqiqot natijalari elektron tijoratni barqaror
rivojlantirish boʻyicha ilmiy-amaliy tavsiyalar ishlab chiqishga imkon berdi.

Keywords

elektron tijorat, risklarni boshqarish, text-mining, raqamli iqtisodiyot, mijoz qoniqishi, logistika, kiberxavfsizlik, Big Data, platforma ishonchliligi, operatsion risk

References

  1. 1. lrawad, M., Lutfi, A., Alyatama, S., Al Khattab, A., Alsoboa, S. S., Almaiah,
  2. M. A., Ramadan, M. H., Arafa, H. M., Ahmed, N. A., Alsyouf, A., & Al-Khasawneh,
  3. A. L. (2023). Assessing customers perception of online shopping risks: A structural equation modeling-based multigroup analysis. Journal of Retailing and Consumer Services, 71, 103188. DOI: 10.1016/j.jretconser.2022.103188
  4. 2. Ariffin, S. K., Mohan, T., & Goh, Y.-N. (2018). Influence of consumersʼ
  5. perceived risk on consumersʼ online purchase intention. Journal of Research in
  6. Interactive Marketing, 12(3), 309-327. DOI: 10.1108/JRIM-11-2017-0100
  7. 3. Chen, X., Long, J., Lin, L., & Lin, B. (2023). E-commerce enterprises financial
  8. risk prediction based on FA-PSO-LSTM neural network deep learning model.
  9. Sustainability, 15(7), 5882. DOI: 10.3390/su15075882
  10. 4. Cong, X. (2021). Research on financial risk management of e-commerce
  11. enterprises in the era of big data. Proceedings of the 7th International Conference on Frontiers of Educational Technologies, 195-199. DOI: 10.1145/3473141.3473248
  12. 5. Dai, Y. N., Viken, G., Joo, E., & Bente, G. (2018). Risk assessment in ecommerce:How sellersʼ photos, reputation scores, and the stake of a transaction in fluence buyersʼ purchase behavior and information processing. Computers in Human Behavior, 84, 342-351. DOI: 10.1016/j.chb.2018.02.038
  13. 6. Forsythe, S., Liu, C., Shannon, D., & Gardner, L. C. (2006). Development of a
  14. scale to measure the perceived benefits and risks of online shopping. Journal of
  15. Interactive Marketing, 20(2), 55-75. DOI: 10.1002/dir.20061

Downloads

Download data is not yet available.