"Análisis de la Productividad Mediante Redes Bayesianas en una Pyme Desarrollada de Tecnología "

Authors

  • Griselda Dávila Aragón Universidad Panamericana
  • Fernando Cruz Aranda Universidad Panamericana
  • Agustín I. Cabrera Llanos Instituto Politécnico Nacional
  • Francisco Ortiz Arango Universidad Panamericana

DOI:

https://doi.org/10.21919/remef.v10i1.66

Abstract

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.

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Published

2017-05-23

How to Cite

Dávila Aragón, G., Cruz Aranda, F., Cabrera Llanos, A. I., & Ortiz Arango, F. (2017). "Análisis de la Productividad Mediante Redes Bayesianas en una Pyme Desarrollada de Tecnología ". The Mexican Journal of Economics and Finance, 10(1). https://doi.org/10.21919/remef.v10i1.66

Issue

Section

Research and Review Articles

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