Since the second half of the past century, increasingly flexible organizational forms are appearing among firms. However, while hierarchies are easily described, too few mathematical tools are available for flexible organizations. In this article, two measures are proposed in order to assess the...

Since the second half of the past century, increasingly flexible organizational forms are appearing among firms. However, while hierarchies are easily described, too few mathematical tools are available for flexible organizations. In this article, two Lyapunov functions are proposed in order to...

Since the second half of the past century, increasingly flexible organizational forms are appearing among firms. However, while hierarchies are easily described, too few mathematical tools are available for flexible organizations.In this article, two measures are proposed in order to assess the...

Since the second half of the past century, increasingly flexible organizational forms have been appearing among firms. However, while hierarchies are easily described, too few mathematical tools are available for flexible organizations. In this article, two measures are proposed in order to...

Learning curves can arise out of routing problems, or out of sequencing problems, or a combination of both. In this paper, learning curves arising out of routing problems are investigated by means of numerical simulations, whereas some properties of the learning curves arising out of sequencing...

This article presents an agent-based model of an Italian textile district where thousands of small firms specialize in particular phases of fabrics production. It is an empirical and methodological model that reconstructs the communications between firms when they arrange production chains. In...

The investment acceleration principle is a heuristic for modeling investment time series out of consumption time series. The model presented herein develops a disaggregated accelerator equation whose coefficients are the weights of a Kohonen neural net that represents firms' decision-making....

Investment decision-making is modeled by means of a Kohonen neural net, where neurons represent firms. This is done in order to model investments in novel fields of economic activity, that according to this model are carried out when firms recognize the emergence of a new technological pattern....

This article presents a model of the structure of the information flows that underlie the creation of production chains between thousands of small textile firms located in Prato, central Italy. Contrary to most textile industry of western Europe and north America, Prato did not die out once...

Investment decision-making is modeled by means of a Kohonen neural net, whose neurons represent firms as decision-makers. Thus, the network reconstructs collective decision-making by the productive system. This model focuses on the decision to invest in novel fields of activity, which requires...