present

"Monte from Montana" was born and raised near Glacier National Park. He is a strong, sober mind that likes to solve problems in order to help people. Following in his father's footsteps, he began teaching high school mathematics (BYU: mathematics with minors in Physics and Spanish). The excitement of the dot-com era led Monte to Monterey California where he became a Senior Software Engineer doing web-application development for an Internet Company. Following the bubble-burst, he returned to BYU (MBA: Marketing Research). Monte is concurrently working toward his Ph.D. in Marketing and a M.S. in Statistics at WSU in Pullman, Washington. Generally, he likes to identify innovative statistical techniques that can help solve marketing problems. Specifically, his interests are in Entrepreneurial Innovation, U.S. Patent Data, and Internet Consumer Behavior. Outside of Marketing, Monte enjoys his family, a good game of basketball, golf, and chess.

An application of the Patent Rank Score will be used to validate the concept of economic development and firm value. Specifically, it will be shown that the Patent Rank Score will provide improved explanatory power over previous measures of radical innovation and firm performance. \citet{Mizik:2003} described the importance of strategic emphasis and value creation/appropriation on firm performance. In the analysis, firms were grouped into low-, stable-, and high- technology groups. In the first analysis, the firms are objectively grouped based on Patent Rank Scores. Further analysis will model firm performance based on stock returns and strategic emphasis \citep{Mizik:2003}. Mediation of innovation using Patent Rank Scores will also be considered.

Patent data is publicly available, serves as a instrument for doing patent-level and firm-level analysis for both private and public firms, and amidst the modern information age, may be the only way to secure intellectual property. Patent counts or forward-citation counts have been traditionally used to measure the innovation portfolio of a firm. Using network analysis, a variation of Google's PageRank algorithm is introduced to the patent citation network to define an objective measure for radical innovation -- ``Patent Rank". Two model types are considered: simple structure and technology ``class-match" using two temporal forms: cumulative network and five-year moving window. All utility patents from 1976--2009 will be analyzed; over 5.6 million patents and 40 million citations are evaluated to produce 332 million Patent Rank scores. Useful distributional properties are considered and these objective scores are compared to a recent subjective survey performed by PBS to assess the question: What are the most radical innovations of the modern era?