IDEAS home Printed from https://ideas.repec.org/a/fgv/eaerae/v59y2019i4a79998.html
   My bibliography  Save this article

Configurações de ecossistemas de empreendedorismo intensivo em conhecimento

Author

Listed:
  • Alves, Andre Cherubini
  • Fischer, Bruno
  • Vonortas, Nicholas Spyridon
  • Queiroz, Sérgio Robles Reis de

Abstract

The dominant discourse on Entrepreneurial Ecosystems (EE) remains focused on the profile of a handful of successful locations. This has hindered a deeper comprehension of the economic mechanisms that shape evo­lutionary trends in entrepreneurial activity and how they operate in distinct places. We propose that EE have regularities, but they can also assume different configurations, i.e., varying combinations of influential dimen­sions. Through fuzzy set qualitative comparative analysis, we address this issue with data from the State of São Paulo, Brazil. This research focuses on five EE dimensions: Science & Technology, Human Capital, Market Dynamics, Business Dynamics, and Infrastructure. Findings point at the heterogeneous nature of EE distributed in three different paths. While configurations’ vary in terms of causal conditions, research universities, knowle­dge-intensive jobs and wider credit operations are core-causal conditions. Proximity to the main economic hub appears as a key differentiator among ecosystems.

Suggested Citation

  • Alves, Andre Cherubini & Fischer, Bruno & Vonortas, Nicholas Spyridon & Queiroz, Sérgio Robles Reis de, 2019. "Configurações de ecossistemas de empreendedorismo intensivo em conhecimento," RAE - Revista de Administração de Empresas, FGV-EAESP Escola de Administração de Empresas de São Paulo (Brazil), vol. 59(4), August.
  • Handle: RePEc:fgv:eaerae:v:59:y:2019:i:4:a:79998
    as

    Download full text from publisher

    File URL: http://bibliotecadigital.fgv.br/ojs/index.php/rae/article/view/79998
    Download Restriction: no
    ---><---

    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:fgv:eaerae:v:59:y:2019:i:4:a:79998. 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: Núcleo de Computação da FGV EPGE (email available below). General contact details of provider: https://edirc.repec.org/data/eagvfbr.html .

    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.