Enhancing Business Intelligence Through AI-Driven Integration of Sustainability Metrics via ESG Factors

Author:

Pria Shanmuga1ORCID,Al Rubaie Iman1,Prasad Venkatavara1

Affiliation:

1. University of Technology and Applied Sciencce, Oman

Abstract

In recent years, the imperative for businesses to integrate Environmental, Social, and Governance (ESG) factors into their decision-making processes has become increasingly evident, reflecting a broader societal shift towards sustainable practices. This transition is driven by a recognition of the interconnectedness between business operations and environmental and social impacts, to create long-term value for all stakeholders. The framework underpinning AI-driven integration elucidates how machine learning algorithms and natural language p To address these challenges, the framework offers recommendations for policymakers and regulatory bodies to promote the adoption of AI-driven integration for ESG factors. By fostering an enabling environment that incentivizes sustainability-oriented decision-making, policymakers can accelerate the transition towards a more sustainable and resilient economy. By embracing AI technologies, organizations can navigate the complexity of ESG factors

Publisher

IGI Global

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