Representación del des-aprendizaje en los sistemas de innovación: Una propuesta desde la modelación basada en agentes

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

Santiago Quintero Ramírez, Walter Lugo Ruiz Castañeda, Jorge Robledo Velásquez

    Research output: Contribution to journalArticlepeer-review

    2 Scopus citations

    Abstract

    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.

    Translated title of the contributionRepresentation of unlearning in the innovation systems: A proposal from agent-based modeling
    Original languageSpanish
    Pages (from-to)366-376
    Number of pages11
    JournalEstudios Gerenciales
    Volume33
    Issue number145
    DOIs
    StatePublished - 2017

    Bibliographical note

    Funding Information:
    To the Universidad Pontificia Bolivariana (Colombia) for the scholarship of doctoral studies of Santiago Quintero Ramirez, that has made possible the work presented here. At the Professors Giuseppe Zollo, Gabriela Dutrénit and Carlota Pérez, who collaborated in the discussions of the construction in the conceptual model.

    Publisher Copyright:
    © 2017 Universidad ICESI. Published by Elsevier España, S.L.U. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

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