IDEAS home Printed from https://ideas.repec.org/a/ids/ijbire/v5y2011i3p298-317.html
   My bibliography  Save this article

Open innovation in Russian firms: an empirical investigation of technology commercialisation and acquisition

Author

Listed:
  • Daria Podmetina
  • Juha Vaatanen
  • Marko T. Torkkeli
  • Maria M. Smirnova

Abstract

The open innovation paradigm suggests that while the costs of innovation and R&D are rising and, at the same time, the life cycles of products are shortening, firms need new and more open business models (BMs) to gain cost and time saving by using also external R&D and to receive new revenues from internal invention sitting on a shelf by external commercialisation channels. Based on study of R&D oriented Russian companies (survey of over 150 companies, 2008), we investigate BMs companies are applying when trade on technology/innovation. Innovations are developing fast in Russia. This paper aims to classify companies based on their strategies in acquisition and commercialisation of technologies; form and analyse the clusters. Based on the previous survey and the current study, we develop a model, how Russian companies explore for knowledge/innovation/technology circulation.

Suggested Citation

  • Daria Podmetina & Juha Vaatanen & Marko T. Torkkeli & Maria M. Smirnova, 2011. "Open innovation in Russian firms: an empirical investigation of technology commercialisation and acquisition," International Journal of Business Innovation and Research, Inderscience Enterprises Ltd, vol. 5(3), pages 298-317.
  • Handle: RePEc:ids:ijbire:v:5:y:2011:i:3:p:298-317
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=40100
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jens K. Perret, 2019. "Re-Evaluating the Knowledge Production Function for the Regions of the Russian Federation," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 10(2), pages 670-694, June.
    2. Jens K. Perret, 2016. "A Spatial Knowledge Production Function Approach for the Regions of the Russian Federation," EIIW Discussion paper disbei217, Universitätsbibliothek Wuppertal, University Library.
    3. Jens K. Perret, 2016. "An Alternative Approach towards the Knowledge Production Function on a Regional Level - Applications for the USA and Russia," Schumpeter Discussion Papers SDP16003, Universitätsbibliothek Wuppertal, University Library.

    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:ids:ijbire:v:5:y:2011:i:3:p:298-317. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=203 .

    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.