ELEKTRON TIJORAT BILAN SHUG‘ULLANUVCHI KORXONALARDA MIJOZLAR QONIQISH DARAJASI

ELEKTRON TIJORAT BILAN SHUG‘ULLANUVCHI KORXONALARDA MIJOZLAR QONIQISH DARAJASI

##article.authors##

  • Aripov Ulug‘bek Bahodirovich

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https://doi.org/10.5281/zenodo.20211582

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elektron tijorat, risklar tahlili, text-mining, mijozlar qoniqishi, UX dizayn, logistika, moliyaviy risklar, integral baholash.

##article.abstract##

Mazkur maqolada elektron tijorat platformalaridagi risklar text-mining va integral baholash usullari asosida
to‘rtta yo‘nalishda — mahsulot sifati, UX/interfeys, servis xizmatlari hamda logistika va moliyaviy jarayonlar kesimida
tizimli ravishda tahlil qilingan. Tadqiqot natijalari servis xizmatlari (27,0%) va mahsulot sifati (24,7%) bilan bog‘liq risklarning
ustunligini ko‘rsatdi. Shuningdek, elektron savdo tizimida mijozlar qoniqishini oshirish va risklarni samarali boshqarish
mexanizmlarini takomillashtirish zarurligi asoslab berilgan

Биография автора

Aripov Ulug‘bek Bahodirovich

Toshkent davlat iqtisodiyot universiteti,
mustaqil izlanuvchi (PhD)


Библиографические ссылки

Alrawad, M., Lutfi, A., Alyatama, S., Al Khattab, A., Alsoboa, S. S., Almaiah, M. A., Ramadan, M. H., Arafa, H. M.,

Ahmed, N. A., Alsyouf, A., & Al-Khasawneh, 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.

Ariffin, S. K., Mohan, T., & Goh, Y.-N. (2018). Influence of consumers’ perceived risk on consumers’ online purchase

intention. Journal of Research in Interactive Marketing, 12(3), 309–327. DOI: 10.1108/JRIM-11-2017-0100.

Chen, X., Long, J., Lin, L., & Lin, B. (2023). E-commerce enterprises financial risk prediction based on FA-PSO-LSTM

neural network deep learning model. Sustainability, 15(7), 5882. DOI: 10.3390/su15075882.

Cong, X. (2021). Research on financial risk management of e-commerce 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.

Dai, Y. N., Viken, G., Joo, E., & Bente, G. (2018). Risk assessment in e-commerce: How sellers’ photos, reputation

scores, and the stake of a transaction influence buyers’ purchase behavior and information processing. Computers in

Human Behavior, 84, 342–351. DOI: 10.1016/j.chb.2018.02.038.

Forsythe, S., Liu, C., Shannon, D., & Gardner, L. C. (2006). Development of a scale to measure the perceived benefits

and risks of online shopping. Journal of Interactive Marketing, 20(2), 55–75. DOI: 10.1002/dir.20061.

Guru, S., Nenavani, J., Patel, V., & Bhatt, N. (2020). Ranking of perceived risks in online shopping. DECISION, 47(2),

–152. DOI: 10.1007/s40622-020-00241-x.

Huang, Z. (2017). A study of e-commerce transaction risk assessment model in mobile internet. Journal of Electronic

Commerce in Organizations, 15(4), 1–10. DOI: 10.4018/JECO.2017100101.

Kim, D. J., Ferrin, D. L., & Rao, H. R. (2008). A trust-based consumer decision-making model in electronic commerce:

The role of trust, perceived risk, and their antecedents. Decision Support Systems, 44(2), 544–564. DOI: 10.1016/j.

dss.2007.07.001.

Pavlou, P. A. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology

acceptance model. International Journal of Electronic Commerce, 7(3), 101–134. DOI: 10.1080/10864415.2003.110

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##submissions.published##

2026-05-01
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