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Revista mexicana de economía y finanzas
versión On-line ISSN 2448-6795versión impresa ISSN 1665-5346
Resumen
DAVILA-ARAGON, Griselda; CRUZ-ARANDA, Fernando; CABRERA-LLANOS, Agustín I. y ORTIZ-ARANGO, Francisco. Análisis de la productividad mediante Redes Bayesianasen una PYME desarrolladora de tecnología. Rev. mex. econ. finanz [online]. 2015, vol.10, n.1, pp.61-72. ISSN 2448-6795.
Bayesian Networks (RB) is a tool for risk management, particularly for modeling operational risk. Its use for measuring operational risk in the financial sector has channeled great efforts to develop new methods to measure this type of risk to improve the internal management of business processes. Applying Bayesian Networks to model operational risk has the opportunity to incorporate qualitative elements as the opinion of experts in the process of selecting the variables of interest, define the model structure through its causal dependencies and specifying the priors and conditional probabilities of each node the aim of this work is to use this tool to perform the analysis of productivity of PYMES dedicated to developing technology.
Palabras llave : Redes Bayesianas; Riesgo operacional; Tecnología.