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Artificial Intelligence Integration in Sustainable Business Practices: A Text Mining Analysis of USA Firms

Author

Listed:
  • Yavuz Selim Balcıoğlu

    (Department of Management Information Systems, Faculty of Business Administration, Gebze Technical University, 41400 Gebze, Türkiye)

  • Ahmet Alkan Çelik

    (Faculty of Economics and Administrative Sciences, Doğuş University, 34775 Ümraniye, Türkiye)

  • Erkut Altındağ

    (Faculty of Communication, New Media Department, Istanbul Beykent University, 34398 Sarıyer, Türkiye)

Abstract

Artificial Intelligence (AI) is transforming sustainable business strategies globally, yet its specific applications within American enterprises remain underexplored. This study examines the integration of AI in sustainability efforts across various industries in the USA from 2014 to 2022. By analyzing 263 sustainability reports from 41 leading Nasdaq-listed firms using advanced text mining techniques, we uncover nuanced insights into how AI is employed to address environmental and social challenges. Our findings reveal a strategic deployment of AI not only to enhance operational efficiency, but also to drive significant environmental improvements, such as optimizing renewable energy usage and mitigating emissions. Additionally, AI’s impact extends to fostering workplace safety, enhancing diversity, and bolstering community initiatives. This research highlights the critical role of AI as a catalyst in advancing sustainable practices, providing a blueprint for other regions and industries aiming to leverage technology for greater sustainability.

Suggested Citation

  • Yavuz Selim Balcıoğlu & Ahmet Alkan Çelik & Erkut Altındağ, 2024. "Artificial Intelligence Integration in Sustainable Business Practices: A Text Mining Analysis of USA Firms," Sustainability, MDPI, vol. 16(15), pages 1-19, July.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:15:p:6334-:d:1441917
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    References listed on IDEAS

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    1. Tan Yigitcanlar & Federico Cugurullo, 2020. "The Sustainability of Artificial Intelligence: An Urbanistic Viewpoint from the Lens of Smart and Sustainable Cities," Sustainability, MDPI, vol. 12(20), pages 1-24, October.
    2. Vasile Dinu, 2021. "Artificial Intelligence in Wholesale and Retail," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 23(56), pages 1-5, February.
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    2. Muhammad Khalid Anser & Muhammad Naeem & Shoukat Ali & Sajid Ali & Rubab Javid, 2025. "The relationship between artificial intelligence and environmental performance: the mediating role of external environmental factors," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-7, December.
    3. Subhra Mondal & Subhankar Das & Vasiliki G. Vrana, 2024. "Exploring the Role of Artificial Intelligence in Achieving a Net Zero Carbon Economy in Emerging Economies: A Combination of PLS-SEM and fsQCA Approaches to Digital Inclusion and Climate Resilience," Sustainability, MDPI, vol. 16(23), pages 1-35, November.
    4. Muhammad Qamar Rasheed & Zhao Yuhuan, 2026. "Exploring the Impact of Technology Related to Artificial Intelligence, Circular Economy, and Energy Intensity on Sustainable Development Goal 13," Sustainable Development, John Wiley & Sons, Ltd., vol. 34(1), pages 533-553, February.

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