IDEAS home Printed from https://ideas.repec.org/a/taf/ecinnt/v26y2017i1-2p21-41.html
   My bibliography  Save this article

The CDM framework: knowledge recombination from an evolutionary viewpoint

Author

Listed:
  • Ad Notten
  • Jacques Mairesse
  • Bart Verspagen

Abstract

Since Crepon, Duguet, and Mairesse published their ground-breaking article (‘Research, Innovation and Productivity: An Econometric Analysis at the Firm Level’, 1998), the CDM framework has known a large diffusion, despite being published in a non-indexed journal. The present study is an exploration of the spread and recombination of ‘knowledge’ in the ‘CDM universe’, comprising all papers in Scopus indexed journals citing CDM or/and CDM cited papers. We assess first the speed and range of diffusion of CDM and investigate next the ‘origins’ and further ‘genealogical’ make up of the knowledge recombinations within the CDM universe. We find that CDM is cited by a growing number of papers, which spread over a variety of fields, and that it compares very well with the most cited comparable articles in indexed journals in its domain of research. We further find that the CDM universe is mainly constituted of three large clusters and for each of them we are able to identify knowledge paths going from the CDM and earlier cited papers to the subsequent main citing papers. We intend to provide a detailed interpretation of these findings in future work.

Suggested Citation

  • Ad Notten & Jacques Mairesse & Bart Verspagen, 2017. "The CDM framework: knowledge recombination from an evolutionary viewpoint," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 26(1-2), pages 21-41, February.
    • Handle: RePEc:taf:ecinnt:v:26:y:2017:i:1-2:p:21-41
    DOI: 10.1080/10438599.2016.1202520
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/10438599.2016.1202520
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/10438599.2016.1202520?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.

    Citations

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


    Cited by:

    1. Park, Inchae & Yoon, Byungun, 2018. "Technological opportunity discovery for technological convergence based on the prediction of technology knowledge flow in a citation network," Journal of Informetrics, Elsevier, vol. 12(4), pages 1199-1222.
    2. Cristiano Antonelli & Christophe Feder, 2022. "Knowledge properties and the creative response in the global economy: European evidence for the years 1990–2016," The Journal of Technology Transfer, Springer, vol. 47(2), pages 459-475, April.

    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:taf:ecinnt:v:26:y:2017:i:1-2:p:21-41. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/GEIN20 .

    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.