Abstract
In the context of a global economy transitioning towards sustainable development, Environmental, Social, and Governance (ESG) criteria have become a critical foundation for ensuring corporate sustainability and responsible investment decisions, benefting society and businesses. However, despite increasing encouragement to integrate ESG, many organizations still face signifcant challenges in effectively gathering, analyzing, and implementing ESG principles. This research proposes an innovative solution: an ESG information management system enhanced by artifcial intelligence (AI). The system leverages AI algorithms to automate data processing, provide real-time monitoring, and conduct predictive analysis to enable data-driven ESG decisions. Additionally, it supports businesses in generating ESG reports according to specifc sets of criteria. With advanced AI features such as anomaly detection, trend analysis, and automated reporting, the system will assist businesses in comprehensively tracking, assessing, and optimizing their ESG metrics. The application of AI not only enhances transparency and accountability but also enables organizations to adapt flexibly to evolving ESG standards. This system allows organizations to improve operational efciency, strengthen resilience in the face of economic downturns, and enhance strategic foresight, ultimately driving sustainable growth and better meeting the demands of socially responsible stakeholders. Integration of AI in ESG management is not merely a technological advancement but a transformative tool, delivering superior business outcomes and ensuring long-term success in a global economy increasingly focused on sustainability.
Cite
CITATION STYLE
Nguyen, H. Y. N., & Le, H. S. (2025). A research on applying artificial intelligence in data analytics and sustainable development strategies for Vietnamese Enterprises according to ESG Standards. Science & Technology Development Journal - Economics - Law and Management. https://doi.org/10.32508/stdjelm.v9i1.1530
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