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Artificial Intelligence-Driven Business Intelligence for ESG Strategy Implementation: Enhancing Corporate Sustainability through Data-Driven Case Studies
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Author(s): K. Balaji (CHRIST University, Bengaluru, India)
Copyright: 2026
Pages: 26
Source title:
Data-Driven ESG Strategy Implementation Through Business Intelligence
Source Author(s)/Editor(s): Markos Komodromos (University of Nicosia, Cyprus), Lambrini Seremeti (Agricultural University of Athens, Greece), Lazaros Anastasiadis (University of Crete, Greece), Panagiotis Liargovas (University of Peloponnese, Greece)and Sofia Anastasiadou (Univerity of Western Macedonia, Greece)
DOI: 10.4018/979-8-3373-5142-1.ch007
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Abstract
In the modern world of growing levels of stakeholder analysis and regulatory pressure, it has become a policy imperative of responsible companies to focus on the ESG (Environmental, Social, and Governance)-based considerations as an essential part of their central strategic effort. The main idea is to evaluate how the use of AI-powered BI tools allows achieving ESG data collection, analysis, visualization, and reporting, contributing to providing more responsible and intelligent decision-making in sustainability-focused organizations. The study follows a qualitative-type, multiple case study design, wherein the analysis of five practical entities representing various industries including energy, finance, manufacturing, and information technology. Information was gathered by conducting in-depth interviews with ESG officers and data analysts and the use of secondary data Results indicate that AI-assisted BI systems enable the ESG data to have a better granularity and a more timely and predictive nature, therefore, causing more responsive risk management and stakeholder engagement.
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