The role of codified sources of knowledge in innovation: empirical evidence from Dutch manufacturing

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The role of codified sources of knowledge in innovation: empirical evidence from Dutch manufacturing

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Stefano Brusoni () (SPRU, University of Sussex)
Orietta Marsili () (Eindhoven Centre for Innovation Studies, Eindhoven University of Technology)
Ammon Salter () (SPRU, University of Sussex)

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Stefano Brusoni

Abstract

This paper explores ongoing debates about the role that codified forms of knowledge play in fostering firms' and countries' innovative performance. It aims to provide an empirical exploration of the use of codified sources of information for innovation at the sectoral level. Despite considerable interest in David and Foray's (1995) work on the codification of knowledge and the changing nature of innovation due to the use of information and communication technologies, there are relatively few empirical studies that probe the role of codified sources of information in the innovation process. Our goal is to assess 'how' important codified sources of information are for innovation for different sectors and to the innovation system in general. We explore the relationship between the use of codified sources by individual firms and increases in the 'distributional power' of an innovation system, a key component in David and Foray's codification argument. We then link the use of codified sources to different innovative strategies and characteristics of innovation at the firm level. The data used for the analysis is based on The Netherlands Community Innovation Survey (II) for the manufacturing sector. The data set covers 1997 firms in 11 major industries.

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Publisher Info
Paper provided by University of Sussex, SPRU - Science and Technology Policy Research in its series SPRU Electronic Working Paper Series with number 80.

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Length: 40 pages
Date of creation: 01 Feb 2002
Date of revision:
Handle: RePEc:sru:ssewps:80

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Article
- Stefano Brusoni & Orietta Marsili & Ammon Salter, 2005. "The role of codified sources of knowledge in innovation: Empirical evidence from Dutch manufacturing," Journal of Evolutionary Economics, Springer, vol. 15(2), pages 211-231, January. [Downloadable!] (restricted)

Find related papers by JEL classification:
L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General
O32 - Economic Development, Technological Change, and Growth - - Technological Change - - - Management of Technological Innovation and R&D
O33 - Economic Development, Technological Change, and Growth - - Technological Change - - - Technological Change: Choices and Consequences; Diffusion Processes

Cited by:
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Aykut Lenger & Erol Taymaz, 2006. "To innovate or to transfer?," Journal of Evolutionary Economics, Springer, vol. 16(1), pages 137-153, April. [Downloadable!] (restricted)
Ulrich Witt & Tom Broekel & Thomas Brenner, 2007. "Knowledge and its Economic Characteristics - A Conceptual Clarification," Jena Economic Research Papers in Economics 2007-013, Friedrich-Schiller-University Jena, Max-Planck-Institute of Economics. [Downloadable!]
L. C. Hunter & Elizabeth Webster & Anne Wyatt, 2009. "Identifying Corporate Expenditures on Intangibles Using GAAP," Melbourne Institute Working Paper Series wp2009n12, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne. [Downloadable!]
L. C. Hunter & Elizabeth Webster & Anne Wyatt, 2005. "Measuring Intangible Investment," Melbourne Institute Working Paper Series wp2005n15, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne. [Downloadable!]
Paul H. Jensen & Elizabeth Webster, 2006. "Managing Knowledge Flows through Appropriation and Learning Strategies," Melbourne Institute Working Paper Series wp2006n06, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne. [Downloadable!]

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