IDEAS home Printed from https://ideas.repec.org/a/eee/soceps/v105y2026ics0038012126000479.html

Governing the long game: How can artificial intelligence help little giants achieve long-term value?

Author

Listed:
  • Bai, Jingkun
  • Qu, Guimin

Abstract

With the continuous advancement of digital technologies, the question of whether artificial intelligence (AI) can enhance long-term value has become a growing focus of research. We analyze how AI affects long-term value for Chinese ‘little giants' which occupy niche markets, and identify the mechanisms underlying this relationship. The research findings demonstrate that AI creates sustainable momentum for corporate long-term value by enhancing labor investment efficiency and optimizing labor demand structures. Heterogeneity analysis reveals that in coastal regions, AI exerts a more pronounced positive impact on the long-term value of little giant enterprises. Furthermore, economic consequence analysis indicates that while boosting long-term value, AI also significantly influences labor organization patterns and skill structures. These findings provide both theoretical insights and practical implications for firms and policymakers seeking to leverage AI for sustainable value creation.

Suggested Citation

  • Bai, Jingkun & Qu, Guimin, 2026. "Governing the long game: How can artificial intelligence help little giants achieve long-term value?," Socio-Economic Planning Sciences, Elsevier, vol. 105(C).
    • Handle: RePEc:eee:soceps:v:105:y:2026:i:c:s0038012126000479
    DOI: 10.1016/j.seps.2026.102460
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0038012126000479
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.seps.2026.102460?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

    ;
    ;
    ;
    ;

    JEL classification:

    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    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:soceps:v:105:y:2026:i:c:s0038012126000479. 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.elsevier.com/locate/seps .

    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.