IDEAS home Printed from https://ideas.repec.org/a/eee/teinso/v86y2026ics0160791x26000825.html

The strategic role of Artificial Intelligence in Attracting Foreign Institutional Investors: A comparative analysis of new and old firms

Author

Listed:
  • Khan, Talat Mehmood
  • Khan, Muhammad Awais
  • Popesko, Boris

Abstract

The rapid advancements in artificial intelligence (AI) and its deployment by firms are important factors in attracting investors. By using the data of A-share Chinese listed firms from 2016 to 2022, this study attempts to estimate the possible linkage of AI adoption by firms in appealing the Foreign Institutional Investors (Foreign II's). The study findings indicate the following: (1) AI is positively linked to Foreign II's. (2) The heterogeneity analysis shows that this linkage is stronger in new firms. (3) Firm performance significantly improves the relationship between AI and Foreign II's. (4) In contrast, firm age negatively influences this relationship. After employing several robustness tests, the study findings remain validated. Overall, we provide important insights and actionable references to support the strategic incorporation of AI into organizational operations, aiming to attract foreign investments.

Suggested Citation

  • Khan, Talat Mehmood & Khan, Muhammad Awais & Popesko, Boris, 2026. "The strategic role of Artificial Intelligence in Attracting Foreign Institutional Investors: A comparative analysis of new and old firms," Technology in Society, Elsevier, vol. 86(C).
  • Handle: RePEc:eee:teinso:v:86:y:2026:i:c:s0160791x26000825
    DOI: 10.1016/j.techsoc.2026.103293
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0160791X26000825
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.techsoc.2026.103293?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:

    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • 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:teinso:v:86:y:2026:i:c:s0160791x26000825. 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: https://www.journals.elsevier.com/technology-in-society .

    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.