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How Internal and External Sources of Knowledge Contribute to Firms’ Innovation Performance

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Author Info
Anja Cotiè Svetina (University of Ljubljana, Slovenia)
Igor Prodan (University of Ljubljana, Slovenia)

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Abstract

This paper investigates the extent to which different knowledge sources contribute to firms’ innovation performance. The empirical analysis estimates the relationships in the structural model of the influence of knowledge sources on innovative performance using data collected through personal interviews at 303 firms. The results reveal that internal sources have the most important influence on firms’ innovative performance and confirm that, in their innovation process, firms mostly rely on knowledge developed through in-house R&D efforts, continuous improvement, and internal education and training programs. The data show that in-house learning is not sufficient for generating innovation and that firms need to supplement internal knowledge with knowledge acquired outside the firm. They mainly need to secure links with firms and institutions in the global environment if they want to secure the inflow of new ideas and approaches that will eventually lead to innovations.

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Publisher Info
Article provided by University of Primorska, Faculty of Management Koper in its journal Managing Global Transitions.

Volume (Year): 6 (2008)
Issue (Month): 3 ()
Pages: 277-299
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Handle: RePEc:mgt:youmgt:v:6:y:2008:i:3:p:277-299

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Related research
Keywords: knowledge; innovation; structural equation modeling;

Find related papers by JEL classification:
O30 - Economic Development, Technological Change, and Growth - - Technological Change - - - General
O31 - Economic Development, Technological Change, and Growth - - Technological Change - - - Innovation and Invention: Processes and Incentives

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

  1. Franz Tödtling & Patrick Lehner & Michaela Trippl, 2004. "Knowledge intensive industries, networks, and collective learning," ERSA conference papers ersa04p167, European Regional Science Association. [Downloadable!]
    Other versions:
  2. Harald Bathelt & Andersand Malmberg & Peter Maskell, 2002. "Clusters and Knowledge Local Buzz, Global Pipelines and the Process of Knowledge Creation," DRUID Working Papers 02-12, DRUID, Copenhagen Business School, Department of Industrial Economics and Strategy/Aalborg University, Department of Business Studies. [Downloadable!]
  3. Bj–rn Johnson & Edward Lorenz & Bengt-Åke Lundvall, 2002. "Why all this fuss about codified and tacit knowledge?," Industrial and Corporate Change, Oxford University Press, vol. 11(2), pages 245-262.
  4. Roberta Capello & Alessandra Faggian, 2005. "Collective Learning and Relational Capital in Local Innovation Processes," Regional Studies, Taylor and Francis Journals, vol. 39(1), pages 75-87, January. [Downloadable!] (restricted)
  5. Roberta Capello, 1999. "Spatial Transfer of Knowledge in High Technology Milieux: Learning Versus Collective Learning Processes," Regional Studies, Taylor and Francis Journals, vol. 33(4), pages 353-365, June. [Downloadable!] (restricted)
  6. Lundvall, Bengt-Ake & Johnson, Bjorn & Andersen, Esben Sloth & Dalum, Bent, 2002. "National systems of production, innovation and competence building," Research Policy, Elsevier, vol. 31(2), pages 213-231, February. [Downloadable!] (restricted)
  7. Henry Wai-Chung Yeung, 2005. "The Firm as Social Networks: An Organisational Perspective," Growth and Change, Gatton College of Business and Economics, University of Kentucky, vol. 36(3), pages 307-328. [Downloadable!] (restricted)
  8. Lee Cronbach, 1951. "Coefficient alpha and the internal structure of tests," Psychometrika, Springer, vol. 16(3), pages 297-334, September. [Downloadable!] (restricted)
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This page was last updated on 2009-11-28.

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