Enhancing ESG performance and business sustainability through artificial intelligence: A review
Abstract
Artificial intelligence and sustainability are one of the most radical paradigms of modern business work, but the challenges of its effective implementation into an Environmental, Social, and Governance framework remain with the organizations. The underlying cause of this challenge is the disjointed strategies in implementation, a lack of knowledge of the multifaceted possibilities of AI, and failure to have adequate structures to measure the results of sustainability. The following comprehensive literature review effectively evaluates artificial intelligence to improve the ESG performance and business sustainability in various industries and applicability. The review integrates the existing information on AI-based sustainability solutions, including machine learning algorithms that forecast data and predictive analytics, Internet of Things integration that controls the real-time monitoring, blockchain to ensure the transparent management of supply chains and digital twins to optimize the use of resources through a systematic analysis of 738 peer-reviewed articles based on PRISMA methodology. The results show that AI technologies can greatly enhance the precision of environmental monitoring to up 85 percent, operational carbon footprint to 30-40 percent, supply chain clarity, and governance systems through automated compliance systems. Although, continued issues can be seen in negative data quality, costs of implementation, ethical issues, and specialized expertise. The reviewed article advances the subject due to its systematic taxonomy of AI applications in sustainability, critical success factors of its use, and a prof submission of an integrated framework relating AI capabilities to ESG outputs. The analysis provides the development of explainable AI to ESG reporting, federated learning to privacy-preserving sustainability analytics, and quantum computing to solve complex optimization issues in a circular economy models as the emerging trends.
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