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Sourcing Knowledge and Innovation in a Low-Technology Industry

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  • Tyler Chamberlin
  • Jerome Doutriaux

Abstract

This paper investigates the relationship between knowledge sourcing and innovation in a select low- to medium-technology industry, the forest sector. It is based on data from the Statistics Canada Survey of Innovation 2005. Econometric models are developed and tested, specifically logistic regression analyses, in order to probe the relationship between select forms of embodied and disembodied knowledge and levels of innovation intensity. Differences between single establishment Canadian firms, multi-establishment Canadian firms, Canada-USA multi-establishment firms and establishments belonging to multinational firms are studied in terms of the relationship between innovation and sources of knowledge. Findings indicate that establishment innovative performance is related to knowledge sourcing strategies and furthermore that organization ownership/structure impacts significantly upon this relationship.

Suggested Citation

  • Tyler Chamberlin & Jerome Doutriaux, 2010. "Sourcing Knowledge and Innovation in a Low-Technology Industry," Industry and Innovation, Taylor & Francis Journals, vol. 17(5), pages 487-510.
    • Handle: RePEc:taf:indinn:v:17:y:2010:i:5:p:487-510
    DOI: 10.1080/13662711003633413
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    References listed on IDEAS

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    1. Boris Lokshin & René Belderbos & Martin Carree, 2008. "The Productivity Effects of Internal and External R&D: Evidence from a Dynamic Panel Data Model," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(3), pages 399-413, June.
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    Cited by:

    1. Woodfield, Paul J. & Ooi, Yat Ming & Husted, Kenneth, 2023. "Commercialisation patterns of scientific knowledge in traditional low- and medium-tech industries," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    2. Piotr Dzikowski, 2022. "Product and process innovation patterns in Polish low and high technology systems," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 17(3), pages 747-773, September.
    3. Smol, Marzena & Kulczycka, Joanna, 2019. "Towards innovations development in the European raw material sector by evolution of the knowledge triangle," Resources Policy, Elsevier, vol. 62(C), pages 453-462.
    4. Peltoniemi, Mirva, 2013. "Mechanisms of capability evolution in the Finnish forest industry cluster," Journal of Forest Economics, Elsevier, vol. 19(2), pages 190-205.

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