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Innovation is a key driver of entrepreneurial activity. Innovation from an entrepreneurial perspective is conceptually defined using the complementary views of Austrian economists Kirzner and Schumpeter. Incremental innovation is defined as entrepreneurial activity from Kirzner's perspective -- exploitation of awareness of market disequilibrium which appropriates value: market-sensing, customer-linking. Radical innovation is defined as entrepreneurial activity from Schumpeter's perspective -- exploration as a market-disequilibrium "creative destruction" which creates value: market-making, customer-driving. From a firm's perspective, innovation research in marketing addresses three fundamental questions: What is an innovation? What innovations are most valuable to a firm? How do innovations influence the competitive marketplace? From an entreprenuerial perspective, I address these fundamental questions.

Monte J. Shaffer is a fourth-year Ph.D. student and job market candidate (2011) in the Department of Marketing at Washington State University. Monte is currently working on his marketing dissertation in Entrepreneurial Innovations. Prior to joining Washington State University, Monte received a Bachelor in Mathematics / MBA in Marketing from Brigham Young University (BYU) in Provo, UT.

Assessing a firm's innovation portfolio is a challenge? Even more difficult is estimating its future value? This paper applies the principles of the Bass model of diffusion of innovation \citep{Bass:1969} to the estimation of forward citations, ``class-match" dampened forward citations, and the newly introduced Patent Rank Scores. The cumulative diffusion will be modeled using a generalized logistic function known as the Richards' curve \citep{Richards:1959}. To estimate the parameters of the the model, the Newton-Raphson method is used. Over 22,000 randomly selected patents from 1976--2008 will be individually modeled, and diffusion patterns will be classified based on the parameters of the model. Valuation of innovation can be objectively assessed, and future valuation can be predicted based on each innovation's specific diffusion pattern.