IDEAS home Printed from https://ideas.repec.org/h/spr/kmochp/978-3-030-43589-9_4.html
   My bibliography  Save this book chapter

Knowledge and Digital Strategies in Manufacturing Firms: The Experience of Top Performers

In: Knowledge Management and Industry 4.0

Author

Listed:
  • Marco Bettiol

    (University of Padova)

  • Mauro Capestro

    (University of Padova)

  • Eleonora Di Maria

    (University of Padova)

  • Stefano Micelli

    (Ca’ Foscari University)

Abstract

In the past few decades, ICT supported firms managing knowledge through both codification and social interaction, also at distance. Within the Industry 4.0 framework, firms can access knowledge through the cloud and rely on big data and AI to improve their processes and enhance their market comprehension. However, it is not fully explored how knowledge management should be organized in the fourth industrial revolution, since a lot of emphasis has been given to automatization in data management, while the relational dimension of knowledge management has received limited attention. Through an empirical analysis based on mixed method of a survey on 75 top performing Italian manufacturing firms and follow-up on 5 case studies, the chapter explores these questions to identify the implications of Industry 4.0 for firms’ strategy.

Suggested Citation

  • Marco Bettiol & Mauro Capestro & Eleonora Di Maria & Stefano Micelli, 2020. "Knowledge and Digital Strategies in Manufacturing Firms: The Experience of Top Performers," Knowledge Management and Organizational Learning, in: Marco Bettiol & Eleonora Di Maria & Stefano Micelli (ed.), Knowledge Management and Industry 4.0, pages 85-111, Springer.
  • Handle: RePEc:spr:kmochp:978-3-030-43589-9_4
    DOI: 10.1007/978-3-030-43589-9_4
    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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Marco Bettiol & Mauro Capestro & Eleonora Maria & Stefano Micelli, 2021. "Reacting to the COVID-19 pandemic through digital connectivity with customers: the Italian experience," Italian Journal of Marketing, Springer, vol. 2021(4), pages 305-330, December.

    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_4. 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.