IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v231y2026ics0040162526002799.html

Artificial intelligence adoption and heterogeneous strategies of open innovation: Implications for firm-level value creation efficiency

Author

Listed:
  • Luan, Xiangyu

Abstract

In an era characterized by resource constraints and accelerating technological change, value creation efficiency, a micro-level measure that captures a firm's ability to maximize economic and social value by optimizing resource allocation and operational efficiency has become pivotal for long-term competitiveness, yet how open innovation covering various categories contribute to this efficiency remains underexplored. This study investigates how open innovation influences firm-level value creation efficiency and the adoption of artificial intelligence, and examines the mediating role of artificial intelligence adoption in the relationship between open innovation and value creation efficiency. Drawing on dynamic capability theory, the study distinguishes between substantial open innovation and strategic open innovation to capture heterogeneous collaborative practices. Employing fixed-effects panel regressions and mediation analysis on a panel of Chinese A-share listed firms, the analysis shows that open innovation significantly enhances value creation efficiency: substantial open innovation has a direct positive effect, whereas strategic open innovation does not yield immediate efficiency gains. Open innovation and Both substantial and strategic type positively influence artificial intelligence adoption, and artificial intelligence adoption mediates the relationship between open innovation and value creation efficiency, partially for substantial open innovation and fully for strategic open innovation. These findings integrate open innovation, artificial intelligence adoption, and value creation efficiency within a unified framework, offering theoretical and managerial insights.

Suggested Citation

  • Luan, Xiangyu, 2026. "Artificial intelligence adoption and heterogeneous strategies of open innovation: Implications for firm-level value creation efficiency," Technological Forecasting and Social Change, Elsevier, vol. 231(C).
    • Handle: RePEc:eee:tefoso:v:231:y:2026:i:c:s0040162526002799
    DOI: 10.1016/j.techfore.2026.124802
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162526002799
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techfore.2026.124802?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:tefoso:v:231:y:2026:i:c:s0040162526002799. 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.sciencedirect.com/science/journal/00401625 .

    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.