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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, benefiting society and businesses. However, despite increasing encouragement to integrate ESG, many organizations still face significant challenges in effectively gathering, analyzing, and implementing ESG principles. This research proposes an innovative solution: an ESG information management system enhanced by artificial 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 specific 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 efficiency, 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.
Issue: Vol 9 No 1 (2025)
Page No.: In press
Published: Apr 22, 2025
Section: Research article
DOI: https://doi.org/10.32508/stdjelm.v9i1.1530
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