Please use this identifier to cite or link to this item:
https://elib.bsu.by/handle/123456789/322951
Title: | A Comprehensive Analysis of Big Data-driven Strategies for Enhancing Economic Sustainability in the Era of Green Development |
Authors: | Wang, H. |
Keywords: | ЭБ БГУ::ОБЩЕСТВЕННЫЕ НАУКИ::Экономика и экономические науки |
Issue Date: | 2024 |
Publisher: | EDP Sciences |
Citation: | E3S Web of Conf.2024; 537: 02022 |
Abstract: | In the age of Green Development, the Internet has revolutionized the outdated economic model with its one-sided transactions and limited information flow.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: | https://elib.bsu.by/handle/123456789/322951 |
DOI: | 10.1051/e3sconf/202453702022 |
Scopus: | 85196917764 |
Licence: | info:eu-repo/semantics/openAccess |
Appears in Collections: | Статьи ИБМТ |
Files in This Item:
File | Description | Size | Format | |
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e3sconf_sdea2024_02022.pdf | 2,1 MB | Adobe PDF | View/Open |
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