z-logo
open-access-imgOpen Access
Les tableaux de bord sur données massives, pour un nouveau management de l’innovation ?
Author(s) -
Jean-Sébastien Vayre
Publication year - 2015
Publication title -
innovations
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.215
H-Index - 9
eISSN - 1965-0256
pISSN - 1267-4982
DOI - 10.3917/inno.047.0101
Subject(s) - humanities , political science , philosophy
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

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom