Open Access
Issue
MATEC Web Conf.
Volume 100, 2017
13th Global Congress on Manufacturing and Management (GCMM 2016)
Article Number 03023
Number of page(s) 6
Section Part 3: Manufacturing innovation and Advanced manufacturing technology
DOI https://doi.org/10.1051/matecconf/201710003023
Published online 08 March 2017
  1. R. Nelson. Understanding Technical Change as Evolutionary Process. Amsterdam: North-Holland, (1987) [Google Scholar]
  2. Anderson P, Tushman M. Technological discontinuities and dominant designs: A cyclical model of technological change. Administrative Science Quarterly, 35 (1990) [CrossRef] [Google Scholar]
  3. Silverberg G, Lehnert L. Long Waves and Evolutionary Chaos in a Simple Schumpeterian Model of Embodies Technical Change. Structural Change and Economic Dynamics, 9 (1993) [Google Scholar]
  4. J. Niosi, M. Banik. The Evolution and Performance of Biotechnology Regional Systems of Innovation. Cambridge Journal of Economics, 29 (2005) [CrossRef] [Google Scholar]
  5. Hedberg, B. L. T. How Organizations Learn and Unlearn. In Nystrom P.C. and Starbuck W.H.. Handbook of Organizational Design, 11(1981) [Google Scholar]
  6. Houstein H D, Neuwirth E. Longwaves in World Industrial Production, Energy Consumption, Innovations, Inventions, and Patents and Their Identification by Spectral Analysis. Technological Forecasting and Social Change, 22 (1982) [Google Scholar]
  7. Kleinknecht A. Are there Schumpeterian Waves of Innovations, 14 (1990) [Google Scholar]
  8. G. Dosi . Technological Paradigms and Technological Trajectories. Research Policy, 3 (1982) [Google Scholar]
  9. W.B. Arthur. Competing Technologies, Increasing Returns, and Lock-in by Historical Events. The Economic Journal, 99 (1989) [CrossRef] [Google Scholar]
  10. G. Dosi. Perspectives on Evolutionary Theory. Science and Public Policy, 6 (1991) [Google Scholar]
  11. Keun Lee, Chaisung Lim. Technological Regimes, catching-up and leap frogging: findings from the Korean Industries. Research Policy, 30 (2001) [Google Scholar]

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