The longitudinal study of advice networks among 240 judges at the Commercial Court of Paris permits the examination of learning as an interactive process. We argue that a spinning top model is a useful heuristic for intra-organizational learning in dynamic advice networks. This model proposes...

The purpose of this paper is to contribute to the understanding of control among peers. Drawing on a network study of a medium-sized Northeastern U.S. corporate law firm, this work shows that partners — all formally equal and locked in a cooperative situation — have developed an informal...

The focus of this thesis is to study the social process of legitimizing financial products, focusing primarily on Exchange Traded Funds (ETFs) in France. Despite the complex nature of their « calculative device », ETFs have grown rapidly. This can be explained through promoters’ legitimizing...

We explore inter-organizational collective learning by assuming that authority relationships are different at the inter- from the intra-organizational level. This difference has implications for the way in which a collective solves the problems related to the creation of a hierarchy between...

The design and topology of a neural network is still an important and difficult task. To solve the problems of topology posed by the introduction of connexionism, new approaches are proposed, and especially a combination of induction rules with a statistical estimation of the neuron coefficients...