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Innovation and lock-in

In: The Elgar Companion to Innovation and Knowledge Creation

Author

Listed:
  • Uwe Cantner
  • Simone Vannuccini

Abstract

The concept of lock-in can certainly be listed among those weighing most heavily in the conceptual toolbox used by scholars of innovation and evolutionary economics. Processes of competitive diffusion, or choice between alternatives of ‘unknown merit’, are known to generate lock-in, that is, inflexible outcomes, and this finding has critical implication for the study of economic dynamics and history-dependent processes. In this chapter, we first summarize what is known in the economic literature about the nature of lock-in, and we discuss if lock-ins are really inescapable, especially when innovation is concerned. Second, we employ the replicator dynamics model, suggesting a parallel between monopolization and lock-in, and show that the convergence of a system to the dominance of a single alternative does not have to be inescapable; rather, it is strongly dependent on the regime and parameters characterizing the competition between alternatives. In particular, the interaction of positive reinforcements driving market selection and negative reinforcements occurring at the level of each individual alternative generates outcomes far from the lock-in into one uncontestable alternative.

Suggested Citation

  • Uwe Cantner & Simone Vannuccini, 2017. "Innovation and lock-in," Chapters, in: Harald Bathelt & Patrick Cohendet & Sebastian Henn & Laurent Simon (ed.), The Elgar Companion to Innovation and Knowledge Creation, chapter 11, pages 165-181, Edward Elgar Publishing.
  • Handle: RePEc:elg:eechap:15485_11
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    Cited by:

    1. Sara Amoroso & Simone Vannuccini, 2019. "Teaming up with Large R&D Investors: Good or Bad for Knowledge Production and Diffusion?," JRC Working Papers on Corporate R&D and Innovation 2019-05, Joint Research Centre.
    2. Cantner, Uwe & Vannuccini, Simone, 2021. "Pervasive technologies and industrial linkages: Modeling acquired purposes," Structural Change and Economic Dynamics, Elsevier, vol. 56(C), pages 386-399.
    3. Ekaterina Prytkova & Simone Vannuccini, 2022. "On the basis of brain: neural-network-inspired changes in general-purpose chips," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 31(4), pages 1031-1055.

    More about this item

    Keywords

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    JEL classification:

    • L15 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Information and Product Quality
    • 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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