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Firm innovation persistence: a fresh look at the frameworks of analysis

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  • Christian Le Bas
  • Giuseppe Scellato

Abstract

This paper introduces the special issue on innovation persistence. It delineates three complementary theoretical frameworks assessing drivers and implications of innovation persistence: 'knowledge accumulation' approach, the 'success-breeds-success' hypothesis and the concept of sunk costs in R&D activities. It emphasizes how path dependence could be related to innovation persistence. It provides an extensive overview of the main empirical findings of recent papers and suggests a new research agenda about firms' dynamic capabilities and innovation persistence. Finally it highlights a set of issues that deserve further investigation in the future. The contributions to this issue are set out as well.

Suggested Citation

  • Christian Le Bas & Giuseppe Scellato, 2014. "Firm innovation persistence: a fresh look at the frameworks of analysis," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 23(5-6), pages 423-446, September.
    • Handle: RePEc:taf:ecinnt:v:23:y:2014:i:5-6:p:423-446
    DOI: 10.1080/10438599.2014.895511
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    References listed on IDEAS

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    1. Martin Woerter, 2014. "Competition and Persistence of R&D," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 23(5-6), pages 469-489, September.
    2. MUSOLESI, Antonio, 2006. "Dynamique de l'innovation dans les services français," LEG - Document de travail - Economie 2006-06, LEG, Laboratoire d'Economie et de Gestion, CNRS, Université de Bourgogne.
    3. Paul A. David, 1997. "Path Dependence and the Quest for Historical Economics: One More chorus of Ballad of QWERTY," Oxford University Economic and Social History Series _020, Economics Group, Nuffield College, University of Oxford.
    4. Börje, Johansson & Hans, Lööf, 2010. "Innovation Strategy and Firm Performance What is the long-run impact of persistent R&D?," Working Paper Series in Economics and Institutions of Innovation 240, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
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