Today, literature on the Silicon Valley is abundant, most of it underlines the importance of the role played by Stanford University; however, few analyse this subject from the perspective of the university. Thus, this paper focuses on the School of Engineering at Stanford University, in...

In this paper, we present a version of the multivariate risk premium for additive risks and the necessary and sufficient conditions to compare global attitudes towards multivariate risk. The link between this risk premium and well-known partial multivariate risk premiums is then investigated.

This paper examines the occurrence of upward distorsions on working-hours caused by the existence of multiplicative effects in the production process. Multiplicative effects are mainly associated with managerial positions but, more generally, with jobs involving multiple tasks or affecting the...

Concepts of organizational learning abound in the literature. There has been an increasing diversity of attempts at classification, but an integrated theory is still missing. To provide some tentative answers as to why theory development id organizational learning has made such little progress,...

We use a decomposition approach to solve two types of realistic problems: block-angular linear programs arising in energy planning, and multicommodity network problems arising in capacity planning for survvable telecommunication netwroks. Decomposition is an algorithmic device that breaks down...

We describe in this paper a method allowing to order submodels in linear regression. A real function is attached to each submodel, allowing to graphically compare and order them. Our procedure defines an objective function depending on two factors (lack of fit and multicolinearity) with the...

Two new subroutines, SPLITDAT and DECOMP, have been created in the GAMS I/O library. The aim of these subroutines is to provide the GAMS user with the possibility of using Benders and other decomposition algorithms within the Gams modeling language framework.

The capacitated multi-item lot sizing problem consists of finding a production schedule that minimizes over a finite number of periods the total production, holding inventory, and setup costs subject to demand and capacity constraints. Approximate solutions can be obtained by heuristics. In this...