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

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

doi:10.1016/j.estger.2017.11.003

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

Autores/as

Santiago Quintero Ramírez Full Professor, Industrial Engineering Program, School of Engineering, Universidad Pontificia Bolivariana, Medellín, Colombia
Walter Lugo Ruiz Castañeda Assistant Professor, Department of Organizational Engineering, Faculty of Mines, Universidad Nacional de Colombia, Medellín, Colombia
Jorge Robledo Velásquez Full Professor, Department of Organizational Engineering, Faculty of Mines, Universidad Nacional de Colombia, Medellín, Colombia

DOI:

https://doi.org/10.1016/j.estger.2017.11.003

Palabras clave:

Unlearning, Learning, Capabilities, Agent-based model, Performance

Resumen

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.

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Publicado

2017-12-15

Número

Vol. 33 No. 145 Oct-Dic 2017

Sección

Artículo de investigación

Licencia

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Cómo citar

Representation of unlearning in the innovation systems: A proposal from agent-based modeling. (2017). Estudios Gerenciales, 33(145), 366-376. https://doi.org/10.1016/j.estger.2017.11.003