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

Author

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  • 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
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    Citations

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    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. 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.
    3. 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.
    4. 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.
    5. 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.
    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.

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