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

Authors

  • Marco Javier Suárez-Barón UPTC University, Sogamoso, Colombia
  • José Fdo. López FUSM, Bogotá, Colombia
  • Carlos Enrique Montenegro Marin Universidad Distrital Francisco José de Caldas, Bogotá, Colombia
  • Paulo Alonso Gaona-García Universidad Distrital Francisco José de Caldas, Bogotá, Colombia
  • Franklin Guillermo Montenegro-Marin Universidad de Cundinamarca, Soacha, Colombia

DOI:

https://doi.org/10.4114/intartif.vol22iss64pp143-151

Keywords:

Computational Architecture, Strategic Knowledge Management, Social Networks.

Abstract

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.

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Published

2020-02-12

How to Cite

Suárez-Barón, M. J., López, J. F., Montenegro Marin, C. E., Gaona-García, P. A., & Montenegro-Marin, F. G. (2020). Computational Model for Organizational Learning in Research And Development Centers (R&D). Inteligencia Artificial, 22(64), 143–151. https://doi.org/10.4114/intartif.vol22iss64pp143-151

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