This model focuses on the decision to invest in novel fields of activity. Making such decisions implies that managers recognise the potentialities of emerging technological patterns, which is not a trivial ability. Ultimately, it depends on the mental categories that they developed through their working life, which may or may not be appropriate to the situation that they are facing. In this article, investment decision-making is modelled by means of an unsupervised neural network. Its neurons represent firms as decision-makers and their weights correspond to the coefficients of a disaggregated, flexible accelerator.

Recognising Investment Opportunities at the Onset of Recoveries.

FIORETTI, GUIDO
2006

Abstract

This model focuses on the decision to invest in novel fields of activity. Making such decisions implies that managers recognise the potentialities of emerging technological patterns, which is not a trivial ability. Ultimately, it depends on the mental categories that they developed through their working life, which may or may not be appropriate to the situation that they are facing. In this article, investment decision-making is modelled by means of an unsupervised neural network. Its neurons represent firms as decision-makers and their weights correspond to the coefficients of a disaggregated, flexible accelerator.
2006
G. Fioretti
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/36029
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