IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v204y2024ics0040162524002452.html
   My bibliography  Save this article

What drives digital innovation cycles? Evidence from manufacturing enterprises in China

Author

Listed:
  • Xie, Weihong
  • Zou, Yukun
  • Guo, Haizhen
  • Li, Zhongshun

Abstract

This paper examined the determinant factors of digital innovation cycles using the data of 356 listed manufacturing enterprises in China from 2013 to 2021. The digital innovation cycles were measured using Data Envelopment Analysis (DEA). Various influencing factors, including digital technologies, organisations, users, and the environment, were analysed based on the Technology Affordance Theory (TAT). The results indicated that digital innovation efficiency in the Chinese manufacturing industry exhibited a fluctuating development trend and had considerable potential for future development. Digital innovation varied across sub-sectors, and the high-knowledge-intensive industries were subject to the greatest weaknesses. Digital innovation also changed significantly across regions in China. Furthermore, digital strategic orientation, executive education level, digital infrastructure, and regional digitalisation level negatively affected digital innovation. However, customer concentration positively affected digital innovation efficiency. Comprehensive guidance and implications for multiple perspectives are presented to enhance digital innovation by manufacturing enterprises.

Suggested Citation

  • Xie, Weihong & Zou, Yukun & Guo, Haizhen & Li, Zhongshun, 2024. "What drives digital innovation cycles? Evidence from manufacturing enterprises in China," Technological Forecasting and Social Change, Elsevier, vol. 204(C).
  • Handle: RePEc:eee:tefoso:v:204:y:2024:i:c:s0040162524002452
    DOI: 10.1016/j.techfore.2024.123449
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162524002452
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.techfore.2024.123449?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 search for a different version of it.

    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:tefoso:v:204:y:2024:i:c:s0040162524002452. 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/00401625 .

    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.