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Organizational Design of R&D Activities

Author

Listed:
  • Ambec, S.
  • Poitevin, M.

Abstract

This paper addresses the question of whether R&D should be carried out by an independent research unit to be produced in-house by the firm marketing the innovation.

Suggested Citation

  • Ambec, S. & Poitevin, M., 2001. "Organizational Design of R&D Activities," Cahiers de recherche 2001-12, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    • Handle: RePEc:mtl:montec:2001-12
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    Cited by:

    1. Versaevel Bruno & Vencatachellum Désiré, 2009. "R&D Delegation in a Duopoly with Spillovers," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 9(1), pages 1-42, December.
    2. Manfred Dix & Néstor Gandelman, 2007. "R&D Institutional Arrangements: Start‐Up Ventures Versus Internal Lab," Manchester School, University of Manchester, vol. 75(2), pages 218-236, March.
    3. HEGE, Ulrich & BERGEMANN, Dirk, 2002. "The value of benchmarking," HEC Research Papers Series 752, HEC Paris.
    4. Mathews, Richmond D., 2006. "Strategic alliances, equity stakes, and entry deterrence," Journal of Financial Economics, Elsevier, vol. 80(1), pages 35-79, April.
    5. Dirk Bergemann & Ulrigh Hege, 2005. "The Financing of Innovation: Learning and Stopping," RAND Journal of Economics, The RAND Corporation, vol. 36(4), pages 719-752, Winter.
    6. Bruno Amable & Régis Breton & Xavier Ragot, 2002. "Does the “New Economy” Change the Frontiers of the Large Corporation," Recherches économiques de Louvain, De Boeck Université, vol. 68(1), pages 239-255.
    7. Versaevel, Bruno & de Villemeur, Étienne, 2003. "Conflict and Cooperation on R&D Markets," IDEI Working Papers 191, Institut d'Économie Industrielle (IDEI), Toulouse.

    More about this item

    Keywords

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    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General

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