IDEAS home Printed from https://ideas.repec.org/h/spr/prbchp/978-3-032-23282-3_30.html

Sectorial Data Ecosystems as Enablers for Data-driven Services for SMEs

In: Technology Management for Intelligent, Open and Responsible Organizations and Ecosystems

Author

Listed:
  • Henrique Diogo Cardoso da Silva

    (INESC TEC
    University of Porto)

  • Ana Carolina Marques Chaves

    (INESC TEC
    University of Minho)

  • António Manuel Lucas Soares

    (INESC TEC
    University of Porto)

  • César Augusto Matos Toscano

    (INESC TEC)

  • Filipa Rente Ramalho

    (INESC TEC
    University of Porto)

Abstract

SMEs are vital to the global economy, yet their adoption of state-of-the-art technologies is hindered by ad-hoc data management practices and limited access to high-quality datasets. This paper proposes a structured approach to overcoming these barriers through sector-specific data ecosystems. The approach includes a data maturity upgrading service designed to enhance SMEs data capabilities and an integrated infrastructure with governance mechanisms to support ecosystem development. By promoting collaboration and scalability, these ecosystems facilitate SME access to data-driven services, fostering digital transformation. The study highlights the importance of business, social, and technical considerations in enabling SMEs to harness the potential of data ecosystems for sustainable technological advancement.

Suggested Citation

  • Henrique Diogo Cardoso da Silva & Ana Carolina Marques Chaves & António Manuel Lucas Soares & César Augusto Matos Toscano & Filipa Rente Ramalho, 2026. "Sectorial Data Ecosystems as Enablers for Data-driven Services for SMEs," Springer Proceedings in Business and Economics, in: Fabiano Armellini & Syrine Njah & Elaine Mosconi & Breno Nunes (ed.), Technology Management for Intelligent, Open and Responsible Organizations and Ecosystems, pages 244-251, Springer.
    • Handle: RePEc:spr:prbchp:978-3-032-23282-3_30
    DOI: 10.1007/978-3-032-23282-3_30
    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:prbchp:978-3-032-23282-3_30. 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.