data when the agent's beliefs about the model are updated through linear learning algorithms. We find that learning in this … learning algorithm is recursive least squares, long memory arises when the coefficient on expectations is sufficiently large … endogenous variable is determined exogenously. Finally, this property of learning is used to shed light on some well …

. Particularly, as organizational learning is now anchored as an important part of the building and sustaining of the small and … learning and performance is important for managers and researchers. We could hypothesize that, combined with organizational … learning processes, some leaders' characteristics and behaviours are more important than others to lead the development of an …

This paper aims to analyze learning as a two-type process. A dynamic equilibrium process represents a stable learning … process, that may express an individualistic behavioral learning or an organizational adaptation. A teleological process … represents an intentional, goal-oriented, learning process. This second type of learning can express an individualistic cognitive …

neighbour sunspot trajectories, and convergence of " evolutive " and " eductive " learning processes. It examines, within a set …

bargaining outcomes. It develops and tests Kuhn and Gu's model (1999) of learning in sequential wage negotiations, by means of …

devices for sharing and learning clearly identified knowledge in the oil industry domains. This work is based on a pilot study … aspects in the areas of knowledge where efforts are to be made in terms of capitalising, sharing, learning and transfer. …

industrial regions located in three Mediterranean countries (France, Spain and Italy). We are particularly interested in …