IDEAS home Printed from https://ideas.repec.org/p/rif/dpaper/1135.html
   My bibliography  Save this paper

Does Open Innovation Foster Productivity? Evidence from Open Source Software(OSS) Firms

Author

Listed:
  • Harison, Elad
  • Koski, Heli

Abstract

The primary findings of our study suggest that software firms that adopt the OSS-based business model are notably less productive than companies that merely offer proprietary software solutions. Our estimation results further show that the OSS business model adopters have not become notably less productive after beginning to supply OSS. Therefore, its seems that not the use of the OSS business model as such has reduced the OSS firms labour productivity but the firms that employed the OSS business model during the sampled years were, on average, of lower labour productivity type. Though the OSS business model use has not substantially improved the performance of software firms, we find that the OSS business model adopters strategically using the source code made available by the OSS community as part of their new software products, have performed better in terms of labour productivity than other adopters of the OSS business model.

Suggested Citation

  • Harison, Elad & Koski, Heli, 2008. "Does Open Innovation Foster Productivity? Evidence from Open Source Software(OSS) Firms," Discussion Papers 1135, The Research Institute of the Finnish Economy.
  • Handle: RePEc:rif:dpaper:1135
    as

    Download full text from publisher

    File URL: http://www.etla.fi/wp-content/uploads/2012/09/dp1135.pdf
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Alexia Gaudeul, 2008. "Consumer Welfare and Market Structure in a Model of Competition between Open Source and Proprietary Software," Working Paper series, University of East Anglia, Centre for Competition Policy (CCP) 2008-31, Centre for Competition Policy, University of East Anglia, Norwich, UK..

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:rif:dpaper:1135. 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: Kaija Hyvönen-Rajecki (email available below). General contact details of provider: https://edirc.repec.org/data/etlaafi.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.