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Next-generation radio-interferometers face a computing challenge with respect to the imaging techniques that can be applied in the big data setting in which they are designed. Dimensionality reduction can thus provide essential savings of computing resourc ...
Abstract In addition to internal R&D, external knowledge is widely considered as an essential lever for innovative performance. This paper analyzes knowledge spillovers in supply chain networks. Specifically, we investigate how supplier innovation is impac ...
The big data imposes the key problem of generalizability of the results. In the present contribution, we discuss statistical tools which can help to select variables adequate for target level of abstraction. We show that a model considered as over-fitted i ...
This paper investigates three questions related to endogenous information and knowledge disclosure by firms: Which industry sectors are more apt to disclose information and knowledge? Why is such knowledge released? Is knowledge disclosure an efficient str ...
This paper presents an overview of the Mobile Data Challenge (MDC), a large-scale research initiative aimed at generating innovations around smartphone-based research, as well as community-based evaluation of mobile data analysis methodologies. First, we r ...
En quoi des grandes compagnies, influencent le programme des espaces de travail, leur dimensionnement, leur organisation? Quelle diversification d’activités sont-elles amenées à proposer à l’intérieur de leurs édifices ? Enfin, quelle image donnent-elle de ...
This paper investigates three questions related to endogenous information and knowledge disclosure by firms: Which industry sectors are more apt to disclose information and knowledge? Why is such knowledge released? Is knowledge disclosure an efficient str ...