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A01=Saeid Homayoun
A01=Salem Boumediene
A01=Salma Boumediene
A01=Zabihollah Rezaee
AI
Artificial Intelligence
artificial intelligence for ESG reporting
Author_Saeid Homayoun
Author_Salem Boumediene
Author_Salma Boumediene
Author_Zabihollah Rezaee
Category=KFCF
Category=KFCM
Category=KJC
Category=KJMV6
Category=KJMV7
Category=KJS
corporate governance frameworks
Corporate social responsibility
CSR
environmental analytics
eq_bestseller
eq_business-finance-law
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
generative models
Innovation management
large language models
performance measurement metrics
resource optimisation
SDGs
Sustainability
Sustainable business
Sustainable Development Goals
Technology management

Product details

  • ISBN 9781041008583
  • Weight: 960g
  • Dimensions: 156 x 234mm
  • Publication Date: 13 Nov 2025
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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This essential guide empowers readers to leverage artificial intelligence (AI) as a tool for efficiency, financial viability, growth and innovation, and as a force for positive social and environmental impact, creating sustainable shared value for all stakeholders. It explores the transformative role of AI in advancing business sustainability and explains how technology and the use of AI, including generative AI (GenAI) and large language models (LLMs), can foster and promote sustainability initiatives as well as measure, report, and analyze key performance indicators in sustainability.

AI for Sustainable Business offers a strategic roadmap for integrating AI to foster responsible, long-term sustainable business practices. Using straightforward language, the book helps unpack the sometimes complex theoretical and practical concepts and procedures. As businesses increasingly recognize the importance of sustainability, the challenge lies in effectively integrating sustainable practices with advanced technologies. The book addresses this challenge by offering practical insights, frameworks, and case studies that illustrate the successful implementation of AI in various business contexts. It highlights the potential of AI to optimize resource use, reduce environmental impact, and improve corporate governance while maintaining a competitive advantage. This book enables businesses to make more informed decisions, optimize their operations, and promote sustainable practices, ultimately contributing to a more sustainable future by providing practical insights for leaders, managers, and policymakers.

This book should be a mandatory desktop reference for corporate directors, officers, advisors, legal counsel, accountants, and auditors who are engaged in sustainability factors of planning, performance, risk, reporting, and assurance. It also provides business leaders, academics, and students with a comprehensive understanding of how AI can be strategically integrated into business operations to enhance sustainability, drive innovation, and create long-term value.

Zabihollah Rezaee is the Thompson-Hill Chair of Excellence and a professor of accountancy at the University of Memphis and served on the Standing Advisory Group of the Public Company Accounting Oversight Board. Dr. Rezaee holds ten certifications, including Certified Public Accountant, and has served as the editor of the Journal of Forensic Accounting Research and is currently serving on the Hong Kong Accounting and Financial Reporting Council Panel. Professor Rezaee has published over 280 articles and written 18 books. He is currently in the top 2% of the Stanford-Elsevier Ranking and received certifications of “Highly Ranked Scholar in Sustainability” from Scholar GPD and “High Impact Scholar” from the University of Memphis.

Salem L Boumediene is an associate professor of accounting and the accounting department chair at the University of Illinois Springfield (UIS). Professor Boumediene is the guest editor for Forensic Accounting and Artificial Intelligence.

Saeid Homayoun is a senior lecturer in accounting with a focus on sustainability at the University of Gävle in Sweden. He has over 20 years of academic teaching and research experience.

Salma Boumediene is an adjunct professor at the UIS. Previously, she served as a faculty research associate in the Department of Defense Management at the Naval Postgraduate School in Monterey, California. She specializes in AI and delivering software and hardware solutions

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