METHODOLOGY FOR DEVELOPING E-COMMERCE BASED ON ARTIFICIAL INTELLIGENCE IN THE DIGITAL ECONOMY AND ASSESSING RISKS
DOI:
https://doi.org/10.60078/3060-4842-2026-vol3-iss3-pp11-17Abstract
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
Keywords:
e-commerce Big Data artificial intelligence text-mining customer satisfaction risk analysis digital logisticsReferences
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
Brynjolfsson, E., & Hitt, L. M. (2000). Beyond computation: Information technology, organizational transformation and business performance. Journal of Economic Perspectives, 14(4), 23–48. https://doi.org/10.1257/jep.14.4.23
Chaffey, D. (2015). Digital business and e-commerce management. Pearson Education Limited.
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), 137–152. DOI: 10.1007/s40622-020-00241-x
Hosanagar, K., Ramachandran, V., & Sridhar, S. (2016). What drives online sales? Evidence from e-commerce platforms. Management Science, 62(12), 3527–3546. https://doi.org/10.1287/mnsc.2015.2309
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, C., Tao, W., Shin, N., & Kim, K. S. (2010). An empirical study of customers’ perceptions of security and trust in e-payment systems. Electronic Commerce Research and Applications, 9(1), 84–95. https://doi.org/10.1016/j.elerap.2009.04.014
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
Laudon, K. C., & Traver, C. G. (2021). E-commerce 2021: Business, technology, society. Pearson.
lrawad, 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
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: 10.1080/10864415.2003.11044275
Shankar, V., Urban, G. L., & Sultan, F. (2002). Online trust: A stakeholder perspective, concepts, implications, and future directions. Journal of Strategic Information Systems, 11(3–4), 325–344. https://doi.org/10.1016/S0963-8687(02)00022-7
Turban, E., King, D., Lee, J., Liang, T. P., & Turban, D. (2018). Electronic commerce 2018: A managerial and social networks perspective. Springer. https://doi.org/10.1007/978-3-319-58715-8.
UNCTAD. (2023). Digital Economy Report 2023. United Nations Conference on Trade and Development. https://doi.org/10.18356/9789210029078
World Bank. (2022). World Development Report 2022: Finance for an equitable recovery. World Bank. https://doi.org/10.1596/978-1-4648-1730-4
Zhang, T., Lu, C., & Kizildag, M. (2018). Banking “on-the-go”: Examining consumers’ adoption of mobile banking services. International Journal of Quality and Service Sciences, 10(3), 279–295. https://doi.org/10.1108/IJQSS-07-2017-0067
Downloads
Published
How to Cite
Issue
Section
License

This work is licensed under a Creative Commons Attribution 4.0 International License.





