Tel: +998901234567
Search

Son 11 (2025)
Marketing

Articles

SI BILAN JIHOZLANGAN INNOVATSIYALARINING CHAKANA SAVDODAGI ROLI: ISTEʼMOLCHI JALB ETILISHI, XARID ODATLARI VA MARKETING STRATEGIYASI

Nashr etilgan 2025-11-29

Mualliflar
Safarov Baxtiyor Djurakulovich
Tashkilot
Toshkent davlat iqtisodiyot universiteti “Marketing” kafedrasi professori
PDF Google Scholar Google Scholar

Annotatsiya

Raqamli chakana savdo ekotizimlarida isteʼmolchilar tobora koʻproq shaxsiylashtirilgan tajriba kutmoqda. Ushbu tadqiqot, sunʼiy intellekt bilan jihozlangan interfeyslar orqali foydalanuvchi jalb etilishi va xarid niyatining shakllanishini baholaydi. Innova tsion yondashuv sifatida SEM -AHP gibrid modeli orqali koʻp darajali konstruktlar oʻrganilib, algoritmik yoʻl -yoʻriqlar va moslashuvchan tavsiyanomalarning xatti -harakatga taʼsiri tahlil qilindi. Tadqiqot SI vositalari mijoz ishonchini mustahkamlashi va no aniqlikni kamaytirishi mumkinligini koʻrsatadi. Ayniqsa, interfeys dizayni va shaxsiylashtirish oʻrtasidagi uygʻunlik xarid jarayonida muhim rol oʻynaydi. Ushbu yondashuv chakana savdo strategiyasini raqamli innovatsiya bilan boyitishda nazariy va amaliy a sos sifatida xizmat qiladi.

Kalit so'zlar

SI, chakana interfeyslari, isteʼmolchi xulqi, jalb etilish mexanizmlari, shaxsiylashtirish, SEM -AHP, marketing innovatsiyasi, xarid xatti - harakati

Adabiyotlar ro'yxati

  1. Noble, S. M., Rosenbaum, M. S., & Russell -Bennett, R. (2022). Exploring AI technology and consumer behavior in retail interactions. Journal of Retailing and Consumer Services, 60, 102 -115.
  2. Brüggemann, F., & Pauwels, K. (2024). Generative AI transforms customer interactions in retail: Enhancing engagement through customized communication. Journal of Marketing Technology, 38(1), 45 -61.
  3. Mogaji, E., & Jain, A. (2024). AI in retail: Enhancing customer experiences and loyalty through personalization. International Journal of Consumer Studies, 48(3), 350-367.
  4. Davenport, T. H., Grewal, D., & Bressgott, T. (2020). The role of machine learning in retail: Predictive models for personalized services. Retail Analytics Review, 15(2), 12 -29.
  5. (2025). Artificial intelligence in the retail sector: Personalization and sales growth. SocioHuman Journal, 9(2), 105 -117.
  6. (2025). Impact of artificial intelligence on consumer buying behavior and purchase patterns in online retail. International Journal of Advanced Research (IJAR), 13(4), 120 -137.
  7. (2025). Impact of artificial intelligence on retail marketing strategies: Personalized recommendations and chatbots. International Journal of Research and Public Relations, 6(6), 227 -235.
  8. Chen, L., & Kumar, S. (2025). AI -powered consumer engagement: Effects on purchase intention and behavior. Journal of Marketing Insights, 14(1), 88 -102.
  9. Wilson, H. J., & Daugherty, P. R. (2018). Collaborative intelligence: Humans and AI are joining forces. Harvard Business Review, 96(4), 114 -123.
  10. Nguyen, T. H., & Simkin, L. (2023). The impact of AI -driven marketing on consumer decision making in retail. Journal of Interactive Marketing, 52, 1 -15.
  11. Li, X., & Fang, Y. (2024). AI -enabled smart retail: Consumer purchase behavior and engagement patterns. Journal of Retailing and Consumer Research, 42, 58-69.
  12. Kumar, V., & Rajan, B. (2023). AI and retail marketing strategy: Optimizing sales through predictive analytics. Journal of Business Research, 145, 413 -422.
  13. Srinivasan, R., & Moorman, C. (2024). How AI shapes retail customer experience: Evidence from marketing analytics. Marketing Science, 43(1), 25 -44.
  14. Zhang, Y., & Lu, R. (2023). Retail innovation through AI: Analyzing consumer responses and sales outcomes. Technological Forecasting and Social Change, 180, 121 -131.
  15. Park, C., & Lee, H. (2024). AI in omnichannel retail: Enhancing consumer engagement and loyalty. Journal of Retailing, 100(1), 50 -69.

Yuklab olishlar

Yuklab olish ma’lumotlari hali mavjud emas.