KOMPANIYALARNING ELEKTRON TIJORAT FAOLIYATINI TASHKIL ETISHDA RAQAMLI PLATFORMALARDAN FOYDALANISH MEXANIZMLARI
DOI:
https://doi.org/10.55439/EIT/vol14_iss2/818Ключевые слова:
Raqamli platforma, elektron tijorat, mikroxizmatlar arxitekturasi, avtomatlashtirish, ma’lumotlar tahlili, mijoz tajribasi, raqobatbardoshlik.Аннотация
Ushbu maqolada kompaniyalarning elektron tijorat faoliyatini tashkil etishda raqamli platformalardan foydalanish mexanizmlari tahlil qilinadi. Raqamli platformalar — elektron tijorat saytlar, ijtimoiy tarmoqlar va mobil ilovalar — kompaniyalarning ish jarayonlarini avtomatlashtirish, mijozlar bilan aloqani yaxshilash va biznes samaradorligini oshirishda muhim vosita hisoblanadi. Maqolada platformalarning integratsiya, ma’lumotlardan foydalanish va mikroxizmatlar arxitekturasi orqali biznes jarayonlarini optimallashtirish imkoniyatlari, shuningdek, texnik, moliyaviy va xavfsizlik muammolari hamda ularni hal qilish yo‘llari ko‘rib chiqilgan.
Библиографические ссылки
Laudon, K. C., & Traver, C. G. (2022). E-commerce 2022: Business, Technology, Society. Pearson.
Chaffey, D., & Ellis-Chadwick, F. (2019). Digital Marketing: Strategy, Implementation and Practice. Pearson.
Brynjolfsson, E., & McAfee, A. (2014). The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. W.W. Norton & Company.
Davenport, T. H. (2014). Big Data at Work: Dispelling the Myths, Uncovering the Opportunities. Harvard Business Review Press.
Masfer, H.M. & Helmi, M.A. “The Role of Digital Marketing in Shaping Consumer Behavior in E-Commerce Platforms.” International Journal of Professional Business Review, 10(3): 1-19 (2025).
Lim, S.F.W.T. “Consumer-driven e-commerce: A literature review, design and research agenda.” International Journal of Physical Distribution & Logistics Management, 48(3): 308-?? (2018).
Handoyo, S. “Purchasing in the digital age: A meta-analytical perspective on e- commerce consumer decision-making.” PMC– Journal (2024).
“Opinion mining in e-commerce: Evaluating machine …” Elsevier (2025). Atlas, L.G. et al. “A modernized approach to sentiment analysis of product reviews using BiGRU and RNNbased LSTM deep learning models.” Scientific Reports, 15:16642 (2025).
Adanyin, A. “Ethical AI in Retail: Consumer Privacy and Fairness.” arXiv (2024). 16. Liu, B. “Deep Learning for Sentiment Analysis: A Survey.” Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 8(4): (2018).
Pang, B., Lee, L., & Vaithyanathan, S. “Thumbs up? Sentiment classification using machine learning techniques.” EMNLP (2002). (cited in Liu et al. (2020) pp. 7820-7821)
“Analisi del sentiment” (Italian Wikipedia) provides overview of sentiment-analysis concept (2025)
Загрузки
Опубликован
Как цитировать
Выпуск
Раздел
Лицензия

Это произведение доступно по лицензии Creative Commons «Attribution» («Атрибуция») 4.0 Всемирная.















