Issue |
E3S Web of Conf.
Volume 537, 2024
International Scientific and Practical Conference “Sustainable Development of the Environment and Agriculture: Green and Environmental Technologies” (SDEA 2024)
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Article Number | 02022 | |
Number of page(s) | 9 | |
Section | Socio-Economic, Theoretical and Methodological Aspects of Sustainable Development | |
DOI | https://doi.org/10.1051/e3sconf/202453702022 | |
Published online | 13 June 2024 |
A Comprehensive Analysis of Big Data-driven Strategies for Enhancing Economic Sustainability in the Era of Green Development
Belarusian State University, Business School, Financial Management, 220013 Minsk, PR Belarus
* Corresponding author: 18884364612@163.com
In the age of Green Development, the Internet has revolutionized the outdated economic model with its one-sided transactions and limited information flow.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 Development.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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