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https://elib.bsu.by/handle/123456789/322951
Заглавие документа: | A Comprehensive Analysis of Big Data-driven Strategies for Enhancing Economic Sustainability in the Era of Green Development |
Авторы: | Wang, H. |
Тема: | ЭБ БГУ::ОБЩЕСТВЕННЫЕ НАУКИ::Экономика и экономические науки |
Дата публикации: | 2024 |
Издатель: | EDP Sciences |
Библиографическое описание источника: | E3S Web of Conf.2024; 537: 02022 |
Аннотация: | In the age of Green Development, the Internet has revolutionized the outdated economic model with its one-sided transactions and limited information flow.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 Develop |
URI документа: | https://elib.bsu.by/handle/123456789/322951 |
DOI документа: | 10.1051/e3sconf/202453702022 |
Scopus идентификатор документа: | 85196917764 |
Лицензия: | info:eu-repo/semantics/openAccess |
Располагается в коллекциях: | Статьи ИБМТ |
Полный текст документа:
Файл | Описание | Размер | Формат | |
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e3sconf_sdea2024_02022.pdf | 2,1 MB | Adobe PDF | Открыть |
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