Representation of unlearning in the innovation systems: A proposal from agent-based modeling

Autor: Santiago Quintero Ramírez, Walter Lugo Ruiz Castañeda, Jorge Robledo Velásquez
Jazyk: Spanish; Castilian
Rok vydání: 2017
Předmět:
Zdroj: Estudios Gerenciales, Vol 33, Iss 145, Pp 366-376 (2017)
Druh dokumentu: article
ISSN: 0123-5923
DOI: 10.1016/j.estger.2017.11.003
Popis: In the present work it is understood the unlearning as the voluntary effort made by firms to abandon the capacities that are not necessary to compete in an innovation system. Modeling and simulating unlearning makes it possible to know emerging behaviors resulting not only from learning, but also from agents unlearning who try to adapt to other agents and the competitive environment. The objective of this work is to represent and analyze the unlearning from the agent-based methodology. As conclusion, a model representing unlearning as a negative variation in capacities accumulation was obtained, which according to its speed, has a different impact on the performance of the innovation system.
Databáze: Directory of Open Access Journals