IDEAS home Printed from https://ideas.repec.org/a/eee/jbrese/v201y2025ics0148296325005612.html

Not all sparks ignite the same flame: Firm AI innovation and ESG performance

Author

Listed:
  • Zhou, Zixun
  • Zhou, Xinyu
  • Zhang, Xuezhi
  • He, Qi

Abstract

Technological innovation exhibits dual impacts—fueling progress while exacerbating disparities—especially regarding artificial intelligence (AI). While AI’s productivity benefits are well documented, its role in corporate sustainability remains contentious. Drawing on divergent perspectives from the resource-based view and stakeholder theory, this study examines the differential effects of firm-level AI innovation on Environmental, Social, and Governance (ESG) performance. Leveraging proprietary AI patent and hiring data from Chinese listed firms, we find that AI innovation significantly promotes ESG performance—particularly in governance and social dimensions—but not in environmental outcomes. Mechanism analyses reveal expanded AI talent recruitment, strengthened employee protection awareness, and improved corporate transparency as plausible channels. Moreover, AI innovation mitigates greenwashing behavior, corporate misconduct, and negative media coverage. By unpacking AI innovation-driven sustainability as a contested nexus, we advance the understanding of how technological capabilities and stakeholder accountability can reconcile ESG trade-offs.

Suggested Citation

  • Zhou, Zixun & Zhou, Xinyu & Zhang, Xuezhi & He, Qi, 2025. "Not all sparks ignite the same flame: Firm AI innovation and ESG performance," Journal of Business Research, Elsevier, vol. 201(C).
  • Handle: RePEc:eee:jbrese:v:201:y:2025:i:c:s0148296325005612
    DOI: 10.1016/j.jbusres.2025.115738
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0148296325005612
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jbusres.2025.115738?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Hao Liang & Luc Renneboog, 2017. "On the Foundations of Corporate Social Responsibility," Journal of Finance, American Finance Association, vol. 72(2), pages 853-910, April.
    2. Nishant, Rohit & Kennedy, Mike & Corbett, Jacqueline, 2020. "Artificial intelligence for sustainability: Challenges, opportunities, and a research agenda," International Journal of Information Management, Elsevier, vol. 53(C).
    3. Igna, Ioana & Venturini, Francesco, 2023. "The determinants of AI innovation across European firms," Research Policy, Elsevier, vol. 52(2).
    4. Ioannis Ioannou & George Serafeim, 2012. "What drives corporate social performance? The role of nation-level institutions," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 43(9), pages 834-864, December.
    5. Teece, David J., 2018. "Profiting from innovation in the digital economy: Enabling technologies, standards, and licensing models in the wireless world," Research Policy, Elsevier, vol. 47(8), pages 1367-1387.
    6. David H. Autor, 2015. "Why Are There Still So Many Jobs? The History and Future of Workplace Automation," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 3-30, Summer.
    7. Hao Liang & Lin Sun & Melvyn Teo, 2022. "Responsible Hedge Funds [Role of managerial incentives and discretion in hedge fund performance]," Review of Finance, European Finance Association, vol. 26(6), pages 1585-1633.
    8. Zixun Zhou & Xinyu Zhou & Xuezhi Zhang & Wei Chen, 2025. "Judicial Waves, Ethical Shifts: Bankruptcy Courts and Corporate ESG Performance," Journal of Business Ethics, Springer, vol. 198(3), pages 537-557, May.
    9. Cao, Sean & Jiang, Wei & Wang, Junbo & Yang, Baozhong, 2024. "From Man vs. Machine to Man + Machine: The art and AI of stock analyses," Journal of Financial Economics, Elsevier, vol. 160(C).
    10. Morgan R. Frank & David Autor & James E. Bessen & Erik Brynjolfsson & Manuel Cebrian & David J. Deming & Maryann Feldman & Matthew Groh & José Lobo & Esteban Moro & Dashun Wang & Hyejin Youn & Iyad Ra, 2019. "Toward understanding the impact of artificial intelligence on labor," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 116(14), pages 6531-6539, April.
    11. Ding, Tao & Li, Jiangyuan & Shi, Xing & Li, Xuhui & Chen, Ya, 2023. "Is artificial intelligence associated with carbon emissions reduction? Case of China," Resources Policy, Elsevier, vol. 85(PB).
    12. Ricardo Vinuesa & Hossein Azizpour & Iolanda Leite & Madeline Balaam & Virginia Dignum & Sami Domisch & Anna Felländer & Simone Daniela Langhans & Max Tegmark & Francesco Fuso Nerini, 2020. "The role of artificial intelligence in achieving the Sustainable Development Goals," Nature Communications, Nature, vol. 11(1), pages 1-10, December.
    13. Dai, Rui & Liang, Hao & Ng, Lilian, 2021. "Socially responsible corporate customers," Journal of Financial Economics, Elsevier, vol. 142(2), pages 598-626.
    14. Witold J. Henisz & Sinziana Dorobantu & Lite J. Nartey, 2014. "Spinning gold: The financial returns to stakeholder engagement," Strategic Management Journal, Wiley Blackwell, vol. 35(12), pages 1727-1748, December.
    15. Parteka, Aleksandra & Kordalska, Aleksandra, 2023. "Artificial intelligence and productivity: global evidence from AI patent and bibliometric data," Technovation, Elsevier, vol. 125(C).
    16. Robert G. Eccles & Ioannis Ioannou & George Serafeim, 2014. "The Impact of Corporate Sustainability on Organizational Processes and Performance," Management Science, INFORMS, vol. 60(11), pages 2835-2857, November.
    17. David J. TEECE, 2008. "Profiting from technological innovation: Implications for integration, collaboration, licensing and public policy," World Scientific Book Chapters, in: The Transfer And Licensing Of Know-How And Intellectual Property Understanding the Multinational Enterprise in the Modern World, chapter 5, pages 67-87, World Scientific Publishing Co. Pte. Ltd..
    18. Lee, Sang M. & Trimi, Silvana, 2021. "Convergence innovation in the digital age and in the COVID-19 pandemic crisis," Journal of Business Research, Elsevier, vol. 123(C), pages 14-22.
    19. Hu, Xinwen & Hua, Renhai & Liu, Qingfu & Wang, Chuanjie, 2023. "The green fog: Environmental rating disagreement and corporate greenwashing," Pacific-Basin Finance Journal, Elsevier, vol. 78(C).
    20. Birger Wernerfelt, 1984. "A resource‐based view of the firm," Strategic Management Journal, Wiley Blackwell, vol. 5(2), pages 171-180, April.
    21. Nicola Jones, 2018. "How to stop data centres from gobbling up the world’s electricity," Nature, Nature, vol. 561(7722), pages 163-166, September.
    22. Iain M. Cockburn & Rebecca Henderson & Scott Stern, 2018. "The Impact of Artificial Intelligence on Innovation," NBER Working Papers 24449, National Bureau of Economic Research, Inc.
    23. Siliang Tong & Nan Jia & Xueming Luo & Zheng Fang, 2021. "The Janus face of artificial intelligence feedback: Deployment versus disclosure effects on employee performance," Strategic Management Journal, Wiley Blackwell, vol. 42(9), pages 1600-1631, September.
    24. Christopher Marquis & Cuili Qian, 2014. "Corporate Social Responsibility Reporting in China: Symbol or Substance?," Organization Science, INFORMS, vol. 25(1), pages 127-148, February.
    25. Kumar, V. & Ramachandran, Divya & Kumar, Binay, 2021. "Influence of new-age technologies on marketing: A research agenda," Journal of Business Research, Elsevier, vol. 125(C), pages 864-877.
    26. Iain M. Cockburn & Rebecca Henderson & Scott Stern, 2018. "The Impact of Artificial Intelligence on Innovation: An Exploratory Analysis," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 115-146, National Bureau of Economic Research, Inc.
    27. Paul C. Godfrey & Craig B. Merrill & Jared M. Hansen, 2009. "The relationship between corporate social responsibility and shareholder value: an empirical test of the risk management hypothesis," Strategic Management Journal, Wiley Blackwell, vol. 30(4), pages 425-445, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhong, Wenli & Liu, Yang & Dong, Kangyin & Ni, Guohua, 2024. "Assessing the synergistic effects of artificial intelligence on pollutant and carbon emission mitigation in China," Energy Economics, Elsevier, vol. 138(C).
    2. Koehler, Maximilian & Sauermann, Henry, 2024. "Algorithmic management in scientific research," Research Policy, Elsevier, vol. 53(4).
    3. Tekic, Zeljko & Tekic, Anja, 2024. "Complex patterns of ICTs' effect on sustainable development at the national level: The triple bottom line perspective," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    4. Jason Potts & Andrew Torrance & Dietmar Harhoff & Eric von Hippel, 2024. "Profiting from Data Commons: Theory, Evidence, and Strategy Implications," Strategy Science, INFORMS, vol. 9(1), pages 1-17, March.
    5. Montobbio, Fabio & Staccioli, Jacopo & Virgillito, Maria Enrica & Vivarelli, Marco, 2022. "Robots and the origin of their labour-saving impact," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    6. Hans B. Christensen & Luzi Hail & Christian Leuz, 2021. "Mandatory CSR and sustainability reporting: economic analysis and literature review," Review of Accounting Studies, Springer, vol. 26(3), pages 1176-1248, September.
    7. García Lara, Juan Manuel & García Osma, Beatriz & Gazizova, Irina & Khalilov, Akram, 2025. "Demand-driven corporate social responsibility: Symbolic versus substantive change after environmental disasters," Journal of Corporate Finance, Elsevier, vol. 94(C).
    8. Rathi, Sawan & Majumdar, Adrija & Chatterjee, Chirantan, 2024. "Did the COVID-19 pandemic propel usage of AI in pharmaceutical innovation? New evidence from patenting data," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    9. Liu, Yingji & Shen, Fangbing & Guo, Ju & Hu, Guoheng & Song, Yuegang, 2025. "Can artificial intelligence technology improve companies' capacity for green innovation? Evidence from listed companies in China," Energy Economics, Elsevier, vol. 143(C).
    10. Cui, Huan-yu & Cao, Yue-qun, 2025. "Environmental justice, ethical transformation: Environmental courts and corporate ESG performance," Journal of Asian Economics, Elsevier, vol. 100(C).
    11. Ma, Dechao & Wu, Weiwei, 2024. "Does artificial intelligence drive technology convergence? Evidence from Chinese manufacturing companies," Technology in Society, Elsevier, vol. 79(C).
    12. Lapo Santarlasci & Armando Rungi & Loredana Fattorini & Nestor Maslej, 2025. "Owning the Intelligence: Global AI Patents Landscape and Europe's Quest for Technological Sovereignty," Papers 2512.19569, arXiv.org.
    13. DasGupta, Ranjan & Roy, Arup, 2023. "Firm environmental, social, governance and financial performance relationship contradictions: Insights from institutional environment mediation," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    14. Wang, Liu & Li, Shaomin, 2025. "Is corporate social responsibility a must or a plus? The role of national culture," International Review of Economics & Finance, Elsevier, vol. 101(C).
    15. Peng, Daoju & Colak, Gonul & Shen, Jianfu, 2023. "Lean against the wind: The effect of policy uncertainty on a firm's corporate social responsibility strategy," Journal of Corporate Finance, Elsevier, vol. 79(C).
    16. Platania, Federico & Toscano Hernandez, Celina & El Ouadghiri, Imane & Peillex, Jonathan, 2025. "Bridging AI innovation and sustainable Development: The effect of AI technological progress on SDG investment performance," Technovation, Elsevier, vol. 146(C).
    17. Zixun Zhou & Xinyu Zhou & Xuezhi Zhang & Wei Chen, 2025. "Judicial Waves, Ethical Shifts: Bankruptcy Courts and Corporate ESG Performance," Journal of Business Ethics, Springer, vol. 198(3), pages 537-557, May.
    18. Lee, Chien-Chiang & Yan, Jingyang, 2024. "Will artificial intelligence make energy cleaner? Evidence of nonlinearity," Applied Energy, Elsevier, vol. 363(C).
    19. Bianca Weber‐Lewerenz & Marzia Traverso, 2025. "How can corporate digital responsibility (CDR) be measured in line with corporate social responsibility (CSR)? A new theoretical approach in construction 4.0," Sustainable Development, John Wiley & Sons, Ltd., vol. 33(1), pages 287-308, February.
    20. Boumparis, Periklis & Florackis, Chris & Guedhami, Omrane & Sainani, Sushil, 2025. "Backing away from ESG? The effect of sovereign rating downgrades on corporate sustainability," Journal of Corporate Finance, Elsevier, vol. 94(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jbrese:v:201:y:2025:i:c:s0148296325005612. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jbusres .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.