Design of a computational model for organizational learning in research and development centers (R&D)

Abstract

This article presents a proposal for a computational model for 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 purged information on lessons learned that can serve to support decision-making or strategic analysis to establish patterns, trends, and behaviors with respect to the roadmaps of the R&D center’s strategic and operational plans.