Computational Model for Organizational Learning in Research And Development Centers (R&D)
| Autor: | Marco Javier Suárez-Barón, José Fdo. López, Carlos Enrique Montenegro Marin, Paulo Alonso Gaona-García, Franklin Guillermo Montenegro-Marin |
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| Jazyk: | English<br />Spanish; Castilian |
| Rok vydání: | 2020 |
| Předmět: | |
| Zdroj: | Inteligencia Artificial, Vol 22, Iss 64 (2020) |
| Druh dokumentu: | article |
| ISSN: | 1137-3601 1988-3064 |
| DOI: | 10.4114/intartif.vol22iss64pp143-151 |
| Popis: | 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. |
| Databáze: | Directory of Open Access Journals |
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