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Rosenberg's "learning by using" and technology diffusion

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  • Mukoyama, Toshihiko

Abstract

This paper formulates Rosenberg's (1982) "learning by using" as a stochastic process. The producer of machines learns from the experience of users. Due to this learning, the quality of machines improves over time. It turns out that the process of this improvement approximately takes an exponential form. This improvement process, combined with the growth of demand due to the improvement, can produce an S-shape diffusion curve of machines. Strong demand and advancement of communication technology increase the diffusion speed. The distributional property of the stochastic process and the implications for inequality across machine users are also explored.
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Suggested Citation

  • Mukoyama, Toshihiko, 2006. "Rosenberg's "learning by using" and technology diffusion," Journal of Economic Behavior & Organization, Elsevier, vol. 61(1), pages 123-144, September.
  • Handle: RePEc:eee:jeborg:v:61:y:2006:i:1:p:123-144
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    Citations

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    Cited by:

    1. Andreoni, Antonio, 2014. "Structural learning: Embedding discoveries and the dynamics of production," Structural Change and Economic Dynamics, Elsevier, vol. 29(C), pages 58-74.
    2. Jeremy Greenwood & Nezih Guner, 2006. "Social Change," 2006 Meeting Papers 79, Society for Economic Dynamics.
    3. Stoneman, Paul, 2011. "Soft Innovation: Economics, Product Aesthetics, and the Creative Industries," OUP Catalogue, Oxford University Press, number 9780199697021.
    4. Marc Dijk & René Kemp & Pieter Valkering, 2013. "Incorporating social context and co-evolution in an innovation diffusion model—with an application to cleaner vehicles," Journal of Evolutionary Economics, Springer, vol. 23(2), pages 295-329, April.
    5. Francesco Bogliacino & Giorgio Rampa, 2012. "Quality risk aversion, conjectures, and new product diffusion," Journal of Evolutionary Economics, Springer, vol. 22(5), pages 1081-1115, November.
    6. Andrea Conte & Marco Vivarelli, 2014. "Succeeding in innovation: key insights on the role of R&D and technological acquisition drawn from company data," Empirical Economics, Springer, vol. 47(4), pages 1317-1340, December.
    7. Marco Vivarelli, 2013. "Technology, Employment and Skills: An Interpretative Framework," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 3(1), pages 66-89, June.
    8. Barbieri, Laura & Piva, Mariacristina & Vivarelli, Marco, 2016. "R&D, Embodied Technological Change and Employment: Evidence from Italian Microdata," IZA Discussion Papers 10354, Institute for the Study of Labor (IZA).
    9. Xuefeng, Qian & Yaşar, Mahmut, 2016. "Export Market Diversification and Firm Productivity: Evidence from a Large Developing Country," World Development, Elsevier, vol. 82(C), pages 28-47.
    10. Jeremy Greenwood & Nezih Guner, 2010. "Social Change: The Sexual Revolution," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 51(4), pages 893-923, November.

    More about this item

    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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