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Crowdsourcing et développement d’un écosystème d’affaires : une étude de cas

Author

Listed:
  • Eric Schenk

    (BETA - Bureau d'Économie Théorique et Appliquée - INRA - Institut National de la Recherche Agronomique - UNISTRA - Université de Strasbourg - UL - Université de Lorraine - CNRS - Centre National de la Recherche Scientifique)

  • Claude Guittard

    (BETA - Bureau d'Économie Théorique et Appliquée - INRA - Institut National de la Recherche Agronomique - UNISTRA - Université de Strasbourg - UL - Université de Lorraine - CNRS - Centre National de la Recherche Scientifique)

Abstract

Crowdsourcing (CS) provides access to external knowledge, and may be a relevant way to facilitate the innovation process of a company. In the open innovation paradigm (Chesbrough, 2003), innovation is the outcome of a coupling between outside-in and inside-out processes mobilizing the company and its partners. Therefore innovation can be understood in a business ecosystems logic. In this article, we use a case study to show how CS can be implemented to develop a business ecosystem. By mobilizing the literature on CS, business ecosystems and C-K theory, we emphasize the convergence between some of the success factors for CS and for the evolution of a business ecosystem: openness and modularity. In the studied case, CS contributes to the upstream phase of the development of a business ecosystem through the exploration of new concepts.

Suggested Citation

  • Eric Schenk & Claude Guittard, 2016. "Crowdsourcing et développement d’un écosystème d’affaires : une étude de cas," Post-Print hal-01723849, HAL.
    • Handle: RePEc:hal:journl:hal-01723849
    DOI: 10.3917/inno.049.0039
    as

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