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Patterns of Diffusion of New Technologies in Small Metal-Working Firms: The Case of an Italian Region

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  • Gurisatti, Paolo
  • Soli, Vladimiro
  • Tattara, Giuseppe

Abstract

Programmable automation in the form of numerically controlled and computerized numerically controlled machine tools and flexible manufacturing systems has been commonly hailed as signalling a fundamental economic-technical paradigm shift similar to the shifts due to the introduction of the steam engine and the electric motor. This paper discusses the patterns of diffusion of microelectronics-based technical change in machine tools employed in metal-working or "engineering" firms in Italy. It is directed toward the segment of the production process involving the employment of metal-cutting milling machines. The paper builds a taxonomy linking innovative technological patterns to the competencies and strategies of firms. Copyright 1997 by Oxford University Press.

Suggested Citation

  • Gurisatti, Paolo & Soli, Vladimiro & Tattara, Giuseppe, 1997. "Patterns of Diffusion of New Technologies in Small Metal-Working Firms: The Case of an Italian Region," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 6(2), pages 275-312, March.
  • Handle: RePEc:oup:indcch:v:6:y:1997:i:2:p:275-312
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    Cited by:

    1. Astrid Jung, 2001. "Are Product Innovation and Flexible Technology Complements?," CIG Working Papers FS IV 01-07, Wissenschaftszentrum Berlin (WZB), Research Unit: Competition and Innovation (CIG), revised Feb 2003.
    2. Balconi, Margherita, 2002. "Tacitness, codification of technological knowledge and the organisation of industry," Research Policy, Elsevier, vol. 31(3), pages 357-379, March.
    3. Syed Shah Alam & Vijayesvaran Arumugam & Noor Gani Mohd Nor & Pushpa Kaliappan & Lee Sze Fang, 2013. "Relationships between Innovation Capabilities, Business Performance, Marketing Performance and Financial Performance: A Literature Review," Business and Management Horizons, Macrothink Institute, vol. 1(1), pages 59-73, June.

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