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Les tableaux de bord sur données massives, pour un nouveau management de l'innovation ?
| Content Provider | Semantic Scholar |
|---|---|
| Author | Vayre, Jean-Sébastien |
| Copyright Year | 2015 |
| 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 |
| Starting Page | 101 |
| Ending Page | 121 |
| Page Count | 21 |
| File Format | PDF HTM / HTML |
| DOI | 10.3917/inno.047.0101 |
| Volume Number | 47 |
| Alternate Webpage(s) | https://hal.archives-ouvertes.fr/hal-01227402/document |
| Alternate Webpage(s) | https://rrifr.univ-littoral.fr/wp-content/uploads/2015/05/vayre_tbdm_rri.pdf |
| Alternate Webpage(s) | https://doi.org/10.3917/inno.047.0101 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
