The main aim of this article is to inform managers and advisers about new knowledge management approaches in units relationship management (URM) reconsidering future, uncertainty and operational benefits that could be generated by refined and innovative mathematics methods applied to management and modernization of organizations. Methods able to rethinking form of events and some their qualities by quantitative techniques in particular - we see - in non-parametric approach. After considering classical and innovative methods of matching certainty and uncertainty, we show that a fractal approach to risk management has a greater capacity to analyze and predict extreme events in the presence of a few observations then some classic parametric techniques. Such an approach allows managers to make more consistent decisions with regard to the risk profile faced by their organization.
Uncertainty, future and forecasting of extreme events in organizations : new approaches in knowledge management
I. De Noni;
2009-01-01
Abstract
The main aim of this article is to inform managers and advisers about new knowledge management approaches in units relationship management (URM) reconsidering future, uncertainty and operational benefits that could be generated by refined and innovative mathematics methods applied to management and modernization of organizations. Methods able to rethinking form of events and some their qualities by quantitative techniques in particular - we see - in non-parametric approach. After considering classical and innovative methods of matching certainty and uncertainty, we show that a fractal approach to risk management has a greater capacity to analyze and predict extreme events in the presence of a few observations then some classic parametric techniques. Such an approach allows managers to make more consistent decisions with regard to the risk profile faced by their organization.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
