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Value indicators and monitoring in innovative PDM: A grounded approach

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  • Sophie Hooge

    (CGS i3 - Centre de Gestion Scientifique i3 - Mines Paris - PSL (École nationale supérieure des mines de Paris) - PSL - Université Paris Sciences et Lettres - I3 - Institut interdisciplinaire de l’innovation - CNRS - Centre National de la Recherche Scientifique)

  • Armand Hatchuel

    (CGS i3 - Centre de Gestion Scientifique i3 - Mines Paris - PSL (École nationale supérieure des mines de Paris) - PSL - Université Paris Sciences et Lettres - I3 - Institut interdisciplinaire de l’innovation - CNRS - Centre National de la Recherche Scientifique)

Abstract

Long-term success of firms depends on the efficiency of their management of R&D projects. However, there is a gap between standard economic and strategic indicators and the high uncertainty, complexity of commitments, and organizational issues that can be observed in the more innovative R&D projects. This paper presents the results of an eighteen-month study in the R&D departments of Renault SAS, which aimed to develop a new monitoring approach of R&D projects. In partnership with R&D teams and managers, a first empirical research on a sample of 64 projects assessed a series of hypothesis about what could be an appropriate monitoring for highly innovative projects. Then, a new monitoring system was built, based on a triangular approach of the project status: economic performance (value and reliability of the value), strategic potential indicators, organizational impact and resource assessment. This paper describes this model and associated tools, as well as the research methodology used to implement them. This monitoring system is now used routinely in the company.

Suggested Citation

  • Sophie Hooge & Armand Hatchuel, 2008. "Value indicators and monitoring in innovative PDM: A grounded approach," Post-Print hal-00696974, HAL.
    • Handle: RePEc:hal:journl:hal-00696974
    Note: View the original document on HAL open archive server: https://minesparis-psl.hal.science/hal-00696974v1
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    File URL: https://minesparis-psl.hal.science/hal-00696974v1/document
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    References listed on IDEAS

    as
    1. Matthew J. Liberatore & Anthony C. Stylianou, 1995. "Expert Support Systems for New Product Development Decision Making: A Modeling Framework and Applications," Management Science, INFORMS, vol. 41(8), pages 1296-1316, August.
    2. Avinash K. Dixit & Robert S. Pindyck, 1994. "Investment under Uncertainty," Economics Books, Princeton University Press, edition 1, number 5474.
    3. William E. Souder, 1973. "Analytical Effectiveness of Mathematical Models for R&D Project Selection," Management Science, INFORMS, vol. 19(8), pages 907-923, April.
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    Cited by:

    1. Sophie Hooge & Albert David, 2014. "What makes an efficient theme for a creativity session?," Post-Print hal-00987220, HAL.
    2. Philippe Bertheau & Claude Roche & Nicolas Dufour, 2015. "Evaluation et valorisation lors de la conception innovante : vers un contrôle de gestion de l'immatériel adapté aux processus d'innovation;," Post-Print hal-01187111, HAL.
    3. Philippe Bertheau, 2014. "Innovation et intelligence collective," Post-Print hal-01009026, HAL.
    4. Philippe Bertheau & Gilles Garel, 2015. "Déterminer la valeur de l’innovation en train de se faire, c’est aussi et déjà innover," Post-Print hal-01187115, HAL.

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