IDEAS home Printed from https://ideas.repec.org/a/eee/techno/v153y2026ics0166497226000581.html

Public perception, government support, and the formation of AI startups: An institution-based view

Author

Listed:
  • Gholipour, Hassan F.
  • Andargoli, Amir
  • Tajaddini, Reza
  • Farzanegan, Mohammad Reza
  • Chege, Fredrick

Abstract

This study investigates cross-country differences in artificial intelligence (AI) startup formation through an institution-based view. Public perception of science and technology (S&T) is conceptualised as an informal institution influencing societal acceptance of innovation, while government AI strategies are framed as formal institutions shaping policy, resources, and regulation. Using data from 40 developed and emerging economies, and controlling for macroeconomic, innovation, and talent-related factors, multiple regression analyses show higher startup activity in countries with more positive public views of S&T and stronger, well-resourced AI strategies. Spiritual concerns about S&T have a stronger negative relationship with AI entrepreneurship than material concerns, highlighting the role of cultural influences in technology adoption. The findings suggest that alignment between formal and informal institutions is essential for entrepreneurial success in frontier technologies. Policy implications include fostering public trust through education and ethical governance, and strengthening AI ecosystems through targeted investments in talent, infrastructure, and enabling regulation.

Suggested Citation

  • Gholipour, Hassan F. & Andargoli, Amir & Tajaddini, Reza & Farzanegan, Mohammad Reza & Chege, Fredrick, 2026. "Public perception, government support, and the formation of AI startups: An institution-based view," Technovation, Elsevier, vol. 153(C).
  • Handle: RePEc:eee:techno:v:153:y:2026:i:c:s0166497226000581
    DOI: 10.1016/j.technovation.2026.103523
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0166497226000581
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.technovation.2026.103523?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:techno:v:153:y:2026:i:c:s0166497226000581. 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/01664972 .

    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.