Logo BSU

Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на этот документ: https://elib.bsu.by/handle/123456789/322951
Полная запись метаданных
Поле DCЗначениеЯзык
dc.contributor.authorWang, H.-
dc.date.accessioned2024-12-12T10:13:16Z-
dc.date.available2024-12-12T10:13:16Z-
dc.date.issued2024-
dc.identifier.citationE3S Web of Conf.2024; 537: 02022ru
dc.identifier.urihttps://elib.bsu.by/handle/123456789/322951-
dc.description.abstractIn the age of Green Development, the Internet has revolutionized the outdated economic model with its one-sided transactions and limited information flow. The Information Age introduces a new economic paradigm, where online platforms are vital for economic growth and innovation. However, challenges like market saturation and dominance by a few online giants hinder smaller businesses. To overcome these hurdles, a thorough examination of the economic landscape through big data is essential. This research utilizes big data to analyze and improve network platforms, focusing on factors such as economic growth, real-time resource allocation, customer acquisition, and pricing. Results show that platforms using big data achieve remarkable efficiency in resource allocation, outperforming traditional platforms by 93.8%. They also excel in customer mining and flexible pricing, leading to a growth economy 65.7 times faster than traditional models. A novel strategy emerges: proactive resource allocation and deep exploration of platform data to catalyze platform economy growth, ensuring its sustainability in Green Developru
dc.language.isoenru
dc.publisherEDP Sciencesru
dc.rightsinfo:eu-repo/semantics/openAccessru
dc.subjectЭБ БГУ::ОБЩЕСТВЕННЫЕ НАУКИ::Экономика и экономические наукиru
dc.titleA Comprehensive Analysis of Big Data-driven Strategies for Enhancing Economic Sustainability in the Era of Green Developmentru
dc.typeconference paperru
dc.rights.licenseCC BY 4.0ru
dc.identifier.DOI10.1051/e3sconf/202453702022-
dc.identifier.scopus85196917764-
Располагается в коллекциях:Статьи ИБМТ

Полный текст документа:
Файл Описание РазмерФормат 
e3sconf_sdea2024_02022.pdf2,1 MBAdobe PDFОткрыть
Показать базовое описание документа Статистика Google Scholar



Все документы в Электронной библиотеке защищены авторским правом, все права сохранены.