This paper proposes a model to represent the organizational learning process at group level. The paper first sets up the analytical framework from the variety of research purposes and epistemological premises characterizing the multidiscipline context in which scholars study cognitive activities of collective agents. In this theoretical ground it is shown how to deduce from relevant literature and empirical contexts an architectural proposal for the representation of the group learning process. According to this architecture, a group within an organization uses heuristics while performing cognitive activities activated from a market feedback different to that expected. The structure of the learning process consequent to a perceived gap between desired and measured outcome suggests a strong analogy with greedy structures of some heuristics in artificial intelligence, and starts off some methodological discussion over the simulation of the whole process.
M. Visentin (2006). Market Feedback and Group Learning within Organizations. INTERNATIONAL JOURNAL OF MANAGEMENT CONCEPTS AND PHILOSOPHY, 2, 66-81.
Market Feedback and Group Learning within Organizations
VISENTIN, MARCO
2006
Abstract
This paper proposes a model to represent the organizational learning process at group level. The paper first sets up the analytical framework from the variety of research purposes and epistemological premises characterizing the multidiscipline context in which scholars study cognitive activities of collective agents. In this theoretical ground it is shown how to deduce from relevant literature and empirical contexts an architectural proposal for the representation of the group learning process. According to this architecture, a group within an organization uses heuristics while performing cognitive activities activated from a market feedback different to that expected. The structure of the learning process consequent to a perceived gap between desired and measured outcome suggests a strong analogy with greedy structures of some heuristics in artificial intelligence, and starts off some methodological discussion over the simulation of the whole process.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.