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

Santiago Quintero Ramírez (), Walter Lugo Ruiz Castañeda () and Jorge Robledo Velásquez ()

Estudios Gerenciales, 2017, vol. 33, issue 145, 366-376

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.

Keywords: Unlearning; Learning; Capabilities; Agent-based model; Performance (search for similar items in EconPapers)
JEL-codes: C63 D21 D83 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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