IDEAS home Printed from https://ideas.repec.org/a/spr/jknowl/v15y2024i2d10.1007_s13132-023-01170-7.html
   My bibliography  Save this article

A Measurement Tool for the Competitiveness of Startups’ Innovation Ecosystem

Author

Listed:
  • Pedro Cezar Saccol Filho

    (Department of Production and Systems Engineering)

  • Julio Cezar Mairesse Siluk

    (Department of Production and Systems Engineering)

  • Cláudia Freitas Michelin

    (Department of Production and Systems Engineering)

  • Paula Donaduzzi Rigo

    (Department of Production and Systems Engineering)

  • Alvaro Luiz Neuenfeldt Júnior

    (Department of Production and Systems Engineering)

  • Carmen Brum Rosa

    (Department of Production and Systems Engineering)

  • Wesley Vieira Silva

    (Universidade Federal de Alagoas - UFAL, Faculdade de Administração, Economia e Contabilidade - FEAC, Cidade Universitária)

Abstract

In its nature, a startup is dependent on an innovation ecosystem. The innovation ecosystem, as well as the interactions that a startup maintains, aims to create new products, gain access to specific resources, and promote partnerships with other startups and organizations. The innovation ecosystem’s importance for a startup’s success is recognized by its managers. However, it is challenging to assess the competitive potential of the innovation ecosystem, such as identifying the positive or negative factors, decision-making on new alliances to improve competitiveness, and promoting improvement actions for the entire scenario. The present research aims to propose a measurement tool to verify the competitiveness performance of startups’ innovation ecosystem in the view of startup managers. Indicators related to the innovation ecosystem were extracted from a systematic literature review and developed based on the Analytic Hierarchy Process (AHP) methodology. The performance measurement tool comprises six Fundamental Points of View (FPV) and 22 Key Performance Indicators (KPI), applied in 46 startups. From the application results in 46 startups, the performance according to the global competitiveness index is between 59.50 and 72.15%, considering the innovation ecosystem is potentially competitive. In contrast, the innovation ecosystem of 79% of startups fails to generate more and better opportunities, providing secure economic advantages for the creation and maintenance of talent. The main contribution of this work is the measurement method we developed to diagnose the competitiveness level of startups’ innovation ecosystem. Stakeholders can apply this model in innovation ecosystems, promoting reflections on which indicators need to be improved to increase the competitiveness of the ecosystem or helping startups choose different ecosystems to promote their business.

Suggested Citation

  • Pedro Cezar Saccol Filho & Julio Cezar Mairesse Siluk & Cláudia Freitas Michelin & Paula Donaduzzi Rigo & Alvaro Luiz Neuenfeldt Júnior & Carmen Brum Rosa & Wesley Vieira Silva, 2024. "A Measurement Tool for the Competitiveness of Startups’ Innovation Ecosystem," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(2), pages 8262-8289, June.
  • Handle: RePEc:spr:jknowl:v:15:y:2024:i:2:d:10.1007_s13132-023-01170-7
    DOI: 10.1007/s13132-023-01170-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13132-023-01170-7
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s13132-023-01170-7?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:jknowl:v:15:y:2024:i:2:d:10.1007_s13132-023-01170-7. 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.