IDEAS home Printed from https://ideas.repec.org/a/eme/regepp/rege-12-2024-0184.html
   My bibliography  Save this article

Data-driven culture and orchestrated data ecosystems: a conceptual model based on the resource-based view

Author

Listed:
  • Felipe Fonseca Salerno
  • Antonio Carlos Gastaud Maçada

Abstract

Purpose - This conceptual paper examines how orchestrated data ecosystems influence the development of a data-driven culture based on the resource-based view, proposing a conceptual model and theoretical propositions. Design/methodology/approach - The study is grounded in the resource-based view and theory-building from literature, employing an integrative review to structure a conceptual model. The analysis connects concepts related to data-driven culture, orchestrated data ecosystems and sustainable competitive advantage. Findings - The paper argues that, within orchestrated data ecosystems, the orchestrator promotes the adoption of data-driven practices, which can be considered a strategic resource from the resource-based view perspective. The adoption of these practices supports the development of sustainable competitive advantages for both organizations and the ecosystem. The study presents a conceptual model and two theoretical propositions that structure this relationship. Originality/value - This paper extends the application of resource-based view to data ecosystems by considering data-driven practices as strategic resources that contribute to sustainable competitive advantage. The originality lies in the proposition that, in orchestrated data ecosystems, the orchestrator facilitates the dissemination of these practices, shaping sustainable competitive advantages at both the organizational and ecosystem levels.

Suggested Citation

  • Felipe Fonseca Salerno & Antonio Carlos Gastaud Maçada, 2025. "Data-driven culture and orchestrated data ecosystems: a conceptual model based on the resource-based view," Revista de Gestão, Emerald Group Publishing Limited, vol. 32(2), pages 123-135, May.
  • Handle: RePEc:eme:regepp:rege-12-2024-0184
    DOI: 10.1108/REGE-12-2024-0184
    as

    Download full text from publisher

    File URL: https://www.emerald.com/insight/content/doi/10.1108/REGE-12-2024-0184/full/html?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: no

    File URL: https://www.emerald.com/insight/content/doi/10.1108/REGE-12-2024-0184/full/pdf?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: no

    File URL: https://libkey.io/10.1108/REGE-12-2024-0184?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
    ---><---

    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:eme:regepp:rege-12-2024-0184. 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: Emerald Support (email available below). General contact details of provider: .

    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.