Business Strategy and Artificial Intelligence for Corporate Emission Management: A Bibliometric Systematic Literature Review
TL;DR
This review investigates 58 peer‐reviewed journal articles on artificial intelligence and suggests a framework that views AI as a resource for improving green innovation, emission control, and competitive advantage when combined with strong governance.
Abstract
This review investigates 58 peer‐reviewed journal articles on artificial intelligence (AI). These were selected from 188 Scopus records using a PRISMA‐style process. All the articles were published between 2022 and 2025. This highlights that applying AI to corporate emission management is relatively new research area, separated from digitalisation and industry 4.0. The analysis explores publication trends, key authors, journals, and collaboration networks. It identifies three main themes: AI‐driven green innovation and environmental, social, and governance (ESG) performance, AI in digital transformation and Industry 4.0 manufacturing, and AI's role in corporate sustainability and Corporate social responsibility (CSR) governance. We suggest a framework that views AI as a resource for improving green innovation, emission control, and competitive advantage when combined with strong governance. The review states that AI's impact on sustainability depends on the quality of governance rather than just its presence. This offers useful insights for managers and policymakers in this developing field.
