Computational Model for Organizational Learning in Research And Development Centers (R&D)

  1. Suárez-Barón, Marco Javier 1
  2. López, José Fdo. 2
  3. Montenegro Marin, Carlos Enrique 3
  4. Gaona-García, Paulo Alonso 3
  5. Montenegro-Marin, Franklin Guillermo 4
  1. 1 Universidad Pedagógica y Tecnológica de Colombia
    info

    Universidad Pedagógica y Tecnológica de Colombia

    Tunja, Colombia

    ROR https://ror.org/04vdmbk59

  2. 2 FUSM
  3. 3 Universidad Distrital Francisco José de Caldas
    info

    Universidad Distrital Francisco José de Caldas

    Bogotá, Colombia

    ROR https://ror.org/02jsxd428

  4. 4 Fundación Universidad Internacional de la Rioja
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Revista:
Inteligencia artificial: Revista Iberoamericana de Inteligencia Artificial

ISSN: 1137-3601,  1988-3064

Año de publicación: 2019

Título del ejemplar: Inteligencia Artificial (December 2019)

Volumen: 22

Número: 64

Páginas: 143-151

Tipo: Artículo

DOI: 10.4114/INTARTIF.VOL22ISS64PP143-151 DIALNET GOOGLE SCHOLAR

Otras publicaciones en: Inteligencia artificial: Revista Iberoamericana de Inteligencia Artificial

Objetivos de desarrollo sostenible

Resumen

This work explains for a computational model design focused organizational learning in R&D centers. We explained the first stage of this architecture that enables extracting, retrieval and integrating of lessons learned in the areas of innovation and technological development that have been registered by R&D researchers and personnel in social networks corporative focused to research. In addition, this article provides details about the design and construction of organizational memory as a computational learning mechanism within an organization. The end result of the process is discusses the management of the extraction and retrieval of information as a technological knowledge management mechanism with the goal of consolidating the Organizational Memory.

Fuente de los datos: Dialnet