IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0322388.html
   My bibliography  Save this article

Makerspace network embeddedness, business model innovation, and user entrepreneurial performance in China: The moderating effect of environmental dynamics

Author

Listed:
  • Jinbo Zhou
  • Weiren Cen
  • Yuzhi Ling

Abstract

Makerspaces gather a large number of entrepreneurial entities and resources, playing a vital role in the survival and development of user entrepreneurial enterprises. Based on network embeddedness theory and resource-based theory, this study employs hierarchical regression analysis and bootstrap method to examine the relationship between makerspace network embeddedness, business model innovation, and user entrepreneurial performance, as well as the moderating role of environmental dynamics. Using empirical data from 245 valid samples of user entrepreneurial firms in Chinese makerspaces, the results reveal that makerspace network embeddedness significantly promotes business model innovation and user entrepreneurial performance. Moreover, business model innovation has a significantly positive impact on user entrepreneurial performance, and partially mediates the relationship between makerspace network embeddedness and user entrepreneurial performance. Furthermore, environmental dynamics exhibit a significant positive moderating effect on the relationship between makerspace network embeddedness and business model innovation. These findings effectively reveal the mechanism for enhancing user entrepreneurial performance and offer practical insights for user entrepreneurial enterprises to leverage network embeddedness for improved entrepreneurial performance.

Suggested Citation

  • Jinbo Zhou & Weiren Cen & Yuzhi Ling, 2025. "Makerspace network embeddedness, business model innovation, and user entrepreneurial performance in China: The moderating effect of environmental dynamics," PLOS ONE, Public Library of Science, vol. 20(4), pages 1-25, April.
  • Handle: RePEc:plo:pone00:0322388
    DOI: 10.1371/journal.pone.0322388
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0322388
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0322388&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0322388?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
    ---><---

    More about this item

    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:plo:pone00:0322388. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.