IDEAS home Printed from https://ideas.repec.org/h/spr/kmochp/978-3-030-43589-9_7.html
   My bibliography  Save this book chapter

Achieving Circular Economy Via the Adoption of Industry 4.0 Technologies: A Knowledge Management Perspective

In: Knowledge Management and Industry 4.0

Author

Listed:
  • Valentina De Marchi

    (Department of Economics and Management ‘Marco Fanno’, University of Padova)

  • Eleonora Di Maria

    (Department of Economics and Management ‘Marco Fanno’, University of Padova)

Abstract

The chapter discusses the relationship between knowledge management, circular economy strategies and investments in Industry 4.0 technologies. Based on an empirical analysis of about 200 Italian manufacturing firms adopting such technologies, the chapter maps the knowledge implications of adoption comparing firms that achieved and did not achieved sustainability results, with a special focus on circular economy. Results highlight that environmental sustainability is often an unexpected, non-planned result of the adoption, and that sustainability outcomes entail more often the adoption of robotics and augmented reality technologies. Interestingly, adoption resulting in sustainability outcomes is more likely when the technology is adopted in the production process. Stronger intra-firm collaboration and engagement with customers is also more likely to take place for green adopter. Few differences emerge if comparing circular with eco-efficiency-oriented outcomes.

Suggested Citation

  • Valentina De Marchi & Eleonora Di Maria, 2020. "Achieving Circular Economy Via the Adoption of Industry 4.0 Technologies: A Knowledge Management Perspective," Knowledge Management and Organizational Learning, in: Marco Bettiol & Eleonora Di Maria & Stefano Micelli (ed.), Knowledge Management and Industry 4.0, pages 163-178, Springer.
    • Handle: RePEc:spr:kmochp:978-3-030-43589-9_7
    DOI: 10.1007/978-3-030-43589-9_7
    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 search for a similarly titled item that would be available.

    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:spr:kmochp:978-3-030-43589-9_7. 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.