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Organizational Design of R&D activities

Author

Listed:
  • Stefan Ambec

    () (CSEF, Università di Salerno)

  • Michel Poitevin

    (Département de sciences économiques, C.R.D.E., Université de Montréal and CIRANO)

Abstract

This paper addresses the question of whether R&D should be carried out by an independent research unit or be produced in-house by the firm marketing the innovation. We define two organizational structures. In an integrated structure, the firm that markets the innovation also carries out and finances research leading to the innovation. In an independent structure, the firm that markets the innovation buys it from an independent research unit which is financed externally. We compare the two structures under the assumption that the research unit has some private information about the real cost of developing the new product. When development costs are negatively correlated with revenues from the innovation, the integrated structure dominates. The independent structure dominates in the opposite case.

Suggested Citation

  • Stefan Ambec & Michel Poitevin, 2001. "Organizational Design of R&D activities," CSEF Working Papers 60, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    • Handle: RePEc:sef:csefwp:60
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    References listed on IDEAS

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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. 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.
    3. 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.
    4. 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.
    5. HEGE, Ulrich & BERGEMANN, Dirk, 2002. "The value of benchmarking," HEC Research Papers Series 752, HEC Paris.
    6. 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

    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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