Exploring eBusiness Readiness Indicators using Bayesian Networks

Abstract

A Bayesian network is a graph-based model of joint multivariate probability distributions that captures properties of conditional independence between variables. Such models are an effective way to characterize probabilistic and causal relations among variables and they provide a clear methodology for learning from observations. In this paper we apply structural learning algorithm to explore the conditional independency relations among the eBusiness Readiness Indicators and we discuss the obtained results.