IDEAS home Printed from https://ideas.repec.org/a/wsi/ijimxx/v03y1999i03ns1363919699000177.html
   My bibliography  Save this article

Corporate Activities In Speech Recognition And Natural Language: Another "New Science"-Based Technology

Author

Listed:
  • KONSTANTINOS KOUMPIS

    (Department of Computer Science, University of Sheffield, 211 Portobello St. Sheffield, S14 DP, United Kingdom)

  • KEITH PAVITT

    (SPRU, Mantell Building, University of Sussex, Brighton, BN1 9RF, United Kingdom)

Abstract

We have used data on patents and publications, and from an Internet-based survey, to analyse corporate technological activities in Automatic Speech Recognition (ASR) and Natural Language Processing (NLP) technologies. Two distinct clusters of firms exist: large firms mainly in telecommunications, desktop computing and consumer electronics; and small firms specialising in speech technologies. The small specialised firms depend heavily on nearby universities and public research institutes and, to some extent, on nearby large firms; their relations with the large firms are complementary as well as competitive. Similar patterns can be observed in other, recently emerging, "new science"-based technologies.Integration between ASR and NLP has so far been weak with the two research communities functioning more or less independently, with the former progressing more rapidly than the latter. Having built technological capabilities in ASR and NLP with a small proportion of their corporate technological resources, the large firms have two options depending on the rate of progress in these technologies (especially NLP) in the future. If it is high, substantial investments (including those in complementary technologies) could open up massive market opportunities. If it is low, modest investments will allow the exploitation of niche markets.

Suggested Citation

  • Konstantinos Koumpis & Keith Pavitt, 1999. "Corporate Activities In Speech Recognition And Natural Language: Another "New Science"-Based Technology," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 3(03), pages 335-366.
    • Handle: RePEc:wsi:ijimxx:v:03:y:1999:i:03:n:s1363919699000177
    DOI: 10.1142/S1363919699000177
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S1363919699000177
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://libkey.io/10.1142/S1363919699000177?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. Bodas Freitas, Isabel Maria & Marques, Rosane Argou & Silva, Evando Mirra de Paula e, 2013. "University–industry collaboration and innovation in emergent and mature industries in new industrialized countries," Research Policy, Elsevier, vol. 42(2), pages 443-453.
    2. Keith Pavitt, 2001. "Can the Large Penrosian Firm cope with the Dynamics of Technology?," SPRU Working Paper Series 68, SPRU - Science Policy Research Unit, University of Sussex Business School.
    3. Corrocher Nicoletta & Malerba Franco & Montobbio Fabio, 2003. "The emergence of new technologies in the ICT field: main actors, geographical distribution and knowledge sources," Economics and Quantitative Methods qf0317, Department of Economics, University of Insubria.
    4. Isabel Maria Bodas Freitas & Aldo Geuna & Federica Rossi, 2012. "The governance of formal university-industry interactions: Understanding the rationales for alternative models," Grenoble Ecole de Management (Post-Print) hal-01487508, HAL.
    5. Victor Gilsing & Rudi Bekkers & Bodas Isabel Maria Freitas & Marianne van Der Steen, 2011. "Differences in technology transfer between science-based and development based industries: transfer mechanisms and barriers," Post-Print hal-01487500, HAL.
    6. Su Jung Jee & So Young Sohn, 2023. "Firms’ influence on the evolution of published knowledge when a science-related technology emerges: the case of artificial intelligence," Journal of Evolutionary Economics, Springer, vol. 33(1), pages 209-247, January.

    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:wsi:ijimxx:v:03:y:1999:i:03:n:s1363919699000177. 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/ijim/ijim.shtml .

    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.