Representing a significant extension to the current theory of innovation, this analysis offers a novel paradigm based on US and Asian data that applies the Schumpeterian model of innovation to today's competitive, managerially challenging business environment.
Econometrics as an applied discipline attempts to use information in a most efficient manner, yet the information theory and entropy approach developed by Shannon and others has not played much of a role in applied econometrics.
Covers the techniques of data envelopment analysis in dynamic and stochastic fields. This work gives a treatment of productive efficiency analysis in the dynamic environment. It is illustrated by real life applications, and is suitable for students and researchers in operations research, management science and applied econometrics.
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