Viele Hersteller von Verbrauchsgütern sehen sich heutzutage einer enormen Variantenvielfalt gegenüber, die sie auf ihren Fließsystemen produzieren müssen. So bietet etwa BMW seine Automobile in 1032 theoretisch möglichen Varianten an. Um nicht die marktseitigen Vorteile dieser...

This paper extends the existing literature on strategic R&D alliances by presenting a model of innovation networks with endogenous absorptive capacity. The networks emerge as a result of bilateral cooperation over time between firms occupying different locations in the knowledge space. Social...

Empirical studies show that agents often violate Bayes' rule in updating probability expectations. This paper deals with errors in combining observations with prior knowledge. Such errors neccessarily occur when agents have limited information-processing capacities. It is shown that rational...

Absentmindedness is a special case of imperfect recall which according to Piccione and Rubinstein (1997a) leads to time inconsistencies. Aumann, Hart and Perry (1997a) question their argument and show how dynamic inconsistencies can be resolved. The present paper explores this issue from a...

Empirical studies show that decisions deviate from the predictions of expected utility theory and violate the axiomatic foundations. Hence, many generalizations to non-expected utility theory have been developped. But empirically they did not provide an improvement over the standard approach. In...

Actual performance measurement systems do not only consider financial measures like costs and profits but also non-financial indicators with respect customer service, quality and flexibility. Using the newsvendor model we explore the influence of possibly conflicting performance measures on...

The aim of this paper is to analyse the effects of knowledge management on the innovation success of firms in Germany. Using a matching procedure on data from the German Innovation Survey of 2003 ("Mannheim Innovation Panel"), we pair firms applying knowledge management with twin firms with...

In this paper, we use stochastic dynamic programming to model the choice of a municipality which has to design an optimal waste management program under uncertainty about the price of recyclables in the secondary market. The municipality can, by undertaking an irreversible investment, adopt a...

Optimal control of dynamic econometric models has a wide variety of applications including economic policy relevant issues. There are several algorithms extending the basic case of a linear-quadratic optimization and taking nonlinearity and stochastics into account, but being still limited in a...

Several approaches for subset recovery and improved forecasting accuracy have been proposed and studied. One way is to apply a regularization strategy and solve the model selection task as a continuous optimization problem. One of the most popular approaches in this research field is given by...