Public sector programs often fail to leverage their business intelligence systems and explicit knowledge objects to drive efficiency and effectiveness. Given the current federal fiscal environment and the need for effective government — a catalyst to the requirement to use "evidence and...

This article defines a quantized entropy and develops Bayes estimates and inference for the entropy and a Kullback-Leibler information index of the model fit. We use a Dirichlet process prior for the unknown data-generating distribution with a maximum entropy candidate model as the expected...

During challenging market conditions, enterprises have to find ways to develop and train their workforce in a manner that enhances the innovative capabilities of the enterprise. Additionally, if companies are to stay competitive, they have to ensure critical skills in their workforce are...