IDEAS home Printed from https://ideas.repec.org/h/spr/prbchp/978-3-030-57065-1_44.html
   My bibliography  Save this book chapter

Taxonomy of Knowledge-Based Greek Firms

In: Business Intelligence and Modelling

Author

Listed:
  • Nikos Kanellos

    (University of the Aegean)

Abstract

In the present work we study the phenomenon of knowledge-based entrepreneurship within Greek companies active in high technology sectors. The analysis is based on data from a structured questionnaire released to a representative sample of Greek-based start-ups established in the period 2000–2010.The study proposes taxonomy of firms into groups based on specific variables: the intensity of business knowledge, their innovative performance, and the networking. According to the statistical analysis, four clusters of companies emerged. We conclude that although we look at high-tech firms, which are considered pioneers in terms of innovation, a large proportion of companies are characterized by very low innovation performance, with founders in the majority having low and medium education levels.

Suggested Citation

  • Nikos Kanellos, 2021. "Taxonomy of Knowledge-Based Greek Firms," Springer Proceedings in Business and Economics, in: Damianos P. Sakas & Dimitrios K. Nasiopoulos & Yulia Taratuhina (ed.), Business Intelligence and Modelling, pages 425-433, Springer.
  • Handle: RePEc:spr:prbchp:978-3-030-57065-1_44
    DOI: 10.1007/978-3-030-57065-1_44
    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.

    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:978-3-030-57065-1_44. 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.