ItemBook Chapter

Artificial Intelligence- Driven Business Intelligence for ESG Strategy Implementation: Enhancing Corporate Sustainability through Data-Driven Case Studies

Title
Artificial Intelligence- Driven Business Intelligence for ESG Strategy Implementation: Enhancing Corporate Sustainability through Data-Driven Case Studies
Creator
Balaji, K.
Description
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. 2026, IGI Global Scientific Publishing. All rights reserved.
Source
Data-Driven ESG Strategy Implementation Through Business Intelligence;pp.173-197
Date
01-01-2025
Publisher
IGI Global
Coverage
Balaji K., CHRIST University, Bengaluru, India
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISBN: 979-833735144-5; 979-833735142-1;
Format
online
Language
English
Type
Book chapter

Citation

Balaji, K., “Artificial Intelligence- Driven Business Intelligence for ESG Strategy Implementation: Enhancing Corporate Sustainability through Data-Driven Case Studies,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/24818.

Output Formats