IDEAS home Printed from https://ideas.repec.org/a/axf/soapsa/v5y2026ip1-9.html

The Mechanism of Artificial Intelligence--Enabled Strategic Decision-Making in Cultural Tourism Enterprises: A Perspective of Dynamic Activation of Cultural Resources

Author

Listed:
  • Li, Yaoting

Abstract

The integration of artificial intelligence (AI) into cultural tourism enterprises marks a significant shift from operational automation to strategic decision-making. While prominent institutions like the Palace Museum and Dunhuang Academy in China have pioneered innovative AI applications, existing research largely treats AI merely as a tactical tool or assumes that cultural resources possess a fixed strategic value. This perspective overlooks how AI dynamically activates heritage assets through continuous audience interaction. To address this critical gap in the literature, this study employs a qualitative comparative case study methodology, rigorously analyzing empirical data from semi-structured interviews (n=12), internal strategy documents spanning from 2020 to 2024, and comprehensive audits of AI-driven platforms at both institutions. The findings reveal a recursive "Dynamic Activation Loop" comprising three distinct phases: sensing real-time audience signals, interpreting emergent cultural meanings via advanced machine learning algorithms, and strategically activating heritage elements through immersive exhibitions, intellectual property development, or interactive narrative design. The Palace Museum emphasizes the amplification of dominant historical narratives for broader commercial resonance, whereas Dunhuang prioritizes the discovery of marginalized voices to enhance educational depth, with both approaches governed by strict ethical review mechanisms. Theoretically, this study extends dynamic capabilities theory by conceptualizing cultural resources as inherently fluid and relationally constituted. Practically, it offers a robust, context-sensitive model for heritage organizations to effectively harness AI technologies while safeguarding cultural authenticity, social inclusivity, and curatorial integrity in an era of rapid digital transformation.

Suggested Citation

  • Li, Yaoting, 2026. "The Mechanism of Artificial Intelligence--Enabled Strategic Decision-Making in Cultural Tourism Enterprises: A Perspective of Dynamic Activation of Cultural Resources," Simen Owen Academic Proceedings Series, Scientific Open Access Publishing, vol. 5, pages 1-9.
    • Handle: RePEc:axf:soapsa:v:5:y:2026:i::p:1-9
    as

    Download full text from publisher

    File URL: https://soapubs.com/index.php/SOAPS/article/view/2119/1946
    Download Restriction: no
    ---><---

    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:axf:soapsa:v:5:y:2026:i::p:1-9. 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: Yuchi Liu (email available below). General contact details of provider: https://soapubs.com/index.php/SOAPS .

    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.