IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v18y2026i2p1062-d1844874.html

Digital Intelligence and the Inheritance of Traditional Culture: A Glocalized Model of Intelligent Heritage in Huangyan, China

Author

Listed:
  • Jianxiong Dai

    (Jing Hengyi School of Education, Hangzhou Normal University, Hangzhou 311121, China)

  • Xiaochun Fan

    (School of Culture Creativity and Media, Hangzhou Normal University, Hangzhou 311121, China)

  • Louis D. Zhang

    (College of Engineering, The University of Akron, Akron, OH 44325, USA
    Hangzhou Zheren Tech Co., Ltd., Hangzhou 311100, China)

Abstract

In the era of digital intelligence, cultural heritage is undergoing a profound transformation. This study investigates how digital technologies facilitate the inheritance and innovation of traditional culture in China, focusing on the case of Huangyan’s Song Rhyme Culture in Zhejiang Province. Drawing on the framework of “glocalized intelligent heritage,” the research explores how global technological systems interact with local cultural practices to produce new forms of cultural continuity. Methodologically, the study employs a qualitative case study approach supported by empirical data. It combines policy analysis, semi-structured interviews with twenty-six stakeholders, field observations, and quantitative indicators such as visitor statistics, online engagement, and project investment. This mixed design provides both contextual depth and measurable evidence of digital transformation. The findings show that digital intelligence has reshaped cultural representation, platform-based public engagement, and local sustainability. In Huangyan, technologies such as AI-based monitoring, 3D modeling, and VR exhibitions have transformed heritage display into an interactive and educational experience. Digital media have enhanced public engagement, with more than 1.2 million virtual visits and over 20 million online interactions recorded in 2024. At the same time, the project has stimulated cultural tourism and creative industries, contributing to a 28.6% increase in cultural revenue between 2020 and 2024. The study concludes that digital intelligence can function as a cultural bridge by strengthening heritage mediation, widening access, and enabling platform- and institution-based participation, while noting that embodied intergenerational cultural transmission lies beyond the direct measurement of this research design.

Suggested Citation

  • Jianxiong Dai & Xiaochun Fan & Louis D. Zhang, 2026. "Digital Intelligence and the Inheritance of Traditional Culture: A Glocalized Model of Intelligent Heritage in Huangyan, China," Sustainability, MDPI, vol. 18(2), pages 1-19, January.
  • Handle: RePEc:gam:jsusta:v:18:y:2026:i:2:p:1062-:d:1844874
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/18/2/1062/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/18/2/1062/
    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:gam:jsusta:v:18:y:2026:i:2:p:1062-:d:1844874. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.