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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Abstract: In the age of Green Development, the Internet has revolutionized the outdated economic model with its one-sided transactions and limited information flow.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
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