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

Eric Schenk () and Claude Guittard ()
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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

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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.

Keywords: Crowdsourcing; Business ecosystem; Open innovation; C-K theory; C-K théorie; Innovation ouverte; Écosystème d'affaires (search for similar items in EconPapers)
Date: 2016
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Published in Innovations - Revue d’économie et de management de l'innovation, 2016, 1 (49), pp.39 - 54. ⟨10.3917/inno.049.0039⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-01723849

DOI: 10.3917/inno.049.0039

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