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

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

Shanmuga Pria (University of Technology and Applied Sciencce, Oman), Iman Al Rubaie (University of Technology and Applied Sciencce, Oman), and Venkatavara Prasad (University of Technology and Applied Sciencce, Oman)
DOI: 10.4018/979-8-3693-2185-0.ch004
OnDemand:
(Individual Chapters)
Available
$37.50
No Current Special Offers
TOTAL SAVINGS: $37.50

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
Chapter Preview

Complete Chapter List

Search this Book:
Reset