IDEAS home Printed from https://ideas.repec.org/a/eee/ecanpo/v91y2026icp1685-1701.html

AI adoption and firm innovation under uncertainty: The mediating role of organizational resilience

Author

Listed:
  • Jervier, Tichinah
  • Lin, Min

Abstract

With the rapid development of the digital economy, artificial intelligence (AI) has become a key driver of enterprise innovation. Taking Chinese biopharmaceutical enterprises as the research object, this study uses panel data from 2007 to 2024 (4,618 valid observations) and the Difference-in-Differences (DID) method to empirically explore the impact of AI adoption on enterprise innovation performance, as well as the mediating role of organizational resilience and heterogeneous effects. The results show that AI adoption significantly promotes the innovation performance of biopharmaceutical enterprises. Organizational resilience plays a partial mediating role between AI adoption and innovation performance, meaning AI can indirectly enhance innovation by improving organizational resilience. Heterogeneity analysis reveals that the innovation effect of AI adoption is more significant in state-owned and high-tech biopharmaceutical enterprises. Robustness tests (parallel trend test, placebo test, PSM-DID) confirm the reliability of the conclusions. This study enriches the literature on digital transformation and enterprise innovation and provides actionable insights for biopharmaceutical enterprises to leverage AI for sustainable development and for policymakers to formulate targeted digital policies.

Suggested Citation

  • Jervier, Tichinah & Lin, Min, 2026. "AI adoption and firm innovation under uncertainty: The mediating role of organizational resilience," Economic Analysis and Policy, Elsevier, vol. 91(C), pages 1685-1701.
    • Handle: RePEc:eee:ecanpo:v:91:y:2026:i:c:p:1685-1701
    DOI: 10.1016/j.eap.2026.06.007
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0313592626002031
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.eap.2026.06.007?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.

    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:ecanpo:v:91:y:2026:i:c:p:1685-1701. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.journals.elsevier.com/economic-analysis-and-policy .

    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.