Generative AI in ESG Reporting: A Case Study and Process Framework

ABSTRACT The emergence of generative artificial intelligence (GenAI) is found to have a remarkable impact on environmental, social, and governance (ESG) reporting. Although there is abundant literature on ESG reporting, very few studies have examined the adoption of GenAI in ESG reporting. As a result, this study examines how companies can use GenAI to generate value in ESG reporting. We obtain the following three findings that we articulate in this paper: (i) GenAI drives digital innovation in ESG reporting via automated data extraction, accelerated analytics, and dynamic reporting; (ii) GenAI‐powered platforms enhance stakeholder engagement by integrating diverse data sources and improving information accessibility; and (iii) organizations encounter significant challenges in data governance and human‐AI collaboration. We also propose a framework for adopting GenAI in digital ESG platforms.

Authors

Institutions

Publication Details

Journal
Business Strategy and the Environment
Published
2026-11-01
DOI
https://doi.org/10.1002/bse.71795
Primary Topic
Corporate Social Responsibility Reporting
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Generative AI in ESG Reporting: A Case Study and Process Framework

Nitin Singh, Zuopeng Zhang, Kee‐hung Lai
5 links
Business Strategy and the Environment
Corporate Social Responsibility Reporting
article

Generative AI in ESG Reporting: A Case Study and Process Framework

Nitin Singh, Zuopeng Zhang, Kee‐hung Lai
article en

Abstract

ABSTRACT The emergence of generative artificial intelligence (GenAI) is found to have a remarkable impact on environmental, social, and governance (ESG) reporting. Although there is abundant literature on ESG reporting, very few studies have examined the adoption of GenAI in ESG reporting. As a result, this study examines how companies can use GenAI to generate value in ESG reporting. We obtain the following three findings that we articulate in this paper: (i) GenAI drives digital innovation in ESG reporting via automated data extraction, accelerated analytics, and dynamic reporting; (ii) GenAI‐powered platforms enhance stakeholder engagement by integrating diverse data sources and improving information accessibility; and (iii) organizations encounter significant challenges in data governance and human‐AI collaboration. We also propose a framework for adopting GenAI in digital ESG platforms.

Business Strategy and the Environment
University of North Florida (US), Hong Kong Polytechnic University (HK), Indian Institute of Management Ranchi (IN)
Climate action, Industry, innovation and infrastructure
Openalex Percentile: Top 9%
Corporate Social Responsibility Reporting
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon
Generative AI in ESG Reporting: A Case Study and Process Framework — Nitin Singh, Zuopeng Zhang, et al. · Business Strategy and the Environment (2026) | TGRS Research Map | TGRS