IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-770-0_12.html

Smart Manufacturing and ESG Performance Synergy: New Engine of Competitive Advantage for Enterprises

In: Proceedings of the 2025 3rd International Conference on Digital Economy and Management Science (CDEMS 2025)

Author

Listed:
  • Ruoming Li

    (University of Nottingham Ningbo China, Faculty of Science and Engineering)

Abstract

This article takes manufacturing enterprises as the research object and focuses on the impact of ESG (Environmental, Social, and Governance) and intelligent manufacturing on the competitiveness of enterprises. Currently, the academic community mostly assumes a strong correlation between ESG performance and the competitiveness of enterprises, but there is a lack of in-depth verification. Through empirical analysis, this study explores how ESG performance and the level of intelligent manufacturing affect the competitiveness of enterprises and further discusses the path of their transformation into enterprise value. The study finds that companies that focus on the development of intelligent manufacturing and have good ESG performance generally have more competitive advantages. Based on this, targeted suggestions are provided for manufacturing enterprises to enhance their competitiveness and achieve value appreciation, helping enterprises to achieve a win-win situation of economic and social benefits in the wave of sustainable development and digital transformation.

Suggested Citation

  • Ruoming Li, 2025. "Smart Manufacturing and ESG Performance Synergy: New Engine of Competitive Advantage for Enterprises," Advances in Economics, Business and Management Research, in: Wenke Zang & Chunping Xia (ed.), Proceedings of the 2025 3rd International Conference on Digital Economy and Management Science (CDEMS 2025), pages 92-104, Springer.
  • Handle: RePEc:spr:advbcp:978-94-6463-770-0_12
    DOI: 10.2991/978-94-6463-770-0_12
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    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:spr:advbcp:978-94-6463-770-0_12. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.