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Les tableaux de bord sur données massives, pour un nouveau management de l’innovation ?

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  • Jean-Sébastien Vayre

Abstract

With the development of Information and Communication Technologies (ICT) within the market and organization spheres, consumers and workers produce large amounts of digital traces (cf. big data) that provide information on their consumption and manufacturing activities. In as much as what we name Dashboards on Big Data (DBD) have precisely the function of improving and facilitating traces of use exploration, we suggest in this paper to rely on a qualitative survey in order to deal with the following question : to what extent do DBD contribute to improve the innovation process within the organization ? If DBD promote companies incremental innovation process, as an innovation management tool, it is possible, however, to question their contribution to breakthrough innovation processes. JEL Codes : A14, O13, M15

Suggested Citation

  • Jean-Sébastien Vayre, 2015. "Les tableaux de bord sur données massives, pour un nouveau management de l’innovation ?," Innovations, De Boeck Université, vol. 0(2), pages 101-121.
    • Handle: RePEc:cai:inndbu:inno_047_0101
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    More about this item

    Keywords

    big data; innovation; uses; ICT; organization; market;
    All these keywords.

    JEL classification:

    • A14 - General Economics and Teaching - - General Economics - - - Sociology of Economics
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management

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