Monte J. Shaffer
|2011||Ph.D. — Marketing — Washington State University
Sheth Foundation Doctoral Consortium Fellow (2010)
U.N. Umesh (WSU) and Gerry Tellis (USC)
|Dissertation:|| Entrepreneurial Innovation:
Patent Rank and Marketing Science
|Awards:||NSF SBIR Phase I / I(b)
Kentucky SBIR Matching (166)
|2011||M.S. — Statistics — Washington State University|
|Advisor: Nairanjana (Jan) Dasgupta|
|Project: Many-to-one comparison of nonlinear growth curves for Washington's Red Delicious apple|
|2006||M.B.A. — Marketing Research — Brigham Young University|
|Mentors: Scott Smith (qualtrics.com), Gary Rhoads|
|Hawes Dean's Scholar, 720 GMAT|
|1997||Mathematics — Brigham Young University|
|Physics & Spanish minors|
|Two-year religious-service mission to Argentina (1992-1994)|
|Elks Scholar; Trustee Scholar; National Honor Society Member|
|1991||Columbia Falls High School, Montana|
|May 2011 —||Entrepreneurial Innovation, LLC
(DBA Patent Rank)
|Dissertation work on innovation: NSF Phase I/I(b) SBIR grant "Measuring the dynamics of a patent-innovation's intrinsic value using eigenvector network centrality" [link]|
|Follow-on funding: Kentucky SBIR matching program (166) "Better Patent Data, Better Patent Analytics" [link]|
|NSF Phase I SBIR grant "From Search to Research with Fast Patent-document Correlations" [link]|
|August 2012 — 2013||Assistant Visiting Professor of Marketing|
|Eller College of Management, University of Arizona|
|Courses: Integrated Marketing Communications, Digital Media Marketing|
|Reference: Linda L. Price|
|August 2011 —||Research Fellow, McGuire Center for Entrepreneurship|
|Eller College of Management, University of Arizona|
|Duties: Develop a sustainable research data repository based on U.S. Patent data: Commercialization Research on Innovation and Research (CRIE) [link]|
|References: Robert Lusch, Leonard Jessup|
|August 2007 — 2011||Teaching Assistant / Instructor|
|Washington State University|
|Courses: Internet Marketing (Digital Media Marketing), Principles of Marketing (online), Marketing Research, Marketing Management, International Marketing|
|Ph.D. Coordinator: Jeff Joireman|
|Project: Promotion Orientation Explains Why Future-Oriented People Exercise and Eat Healthy: Evidence From the Two-Factor Consideration of Future Consequences-14 Scale|
|2000 — 2003||Senior Software Engineer|
|Universal Internet (Carmel, CA)|
|1996 — 2000||Math instructor / IT specialist|
|Alpine School District (Highland, UT)|
|August 1997 —||Innovation, Marketing, and Internet Consulting|
I study marketing implications of innovation. In my research, I commonly use patent data (video) to understand the strategic implications of Intellectual Property at the firm and societal level. I would define my research strength as my ability to manage and integrate large datasets and then identify the most robust mathematical/statistical models to extract meaning from the datasets.
|2016||Monte J. Shaffer, Kevin Chastagner, and U.N. Umesh
|Internationalizing-Innovation Profiles and High-Technology Exports: Does Lone Genius Matter? Journal of International Marketing In-Press.|
|Innovation-performance research, when conducted at the firm level, neglects the role of innovation that is created without firm involvement. In this article, the authors test Schumpeter's lone-genius hypothesis: "Change in economic life always starts with the actions of a forceful individual." To do so, the authors introduce country-level internationalizing-innovation profile (IIP), which characterizes a country's innovation resources, and internationalizing-innovation experience (IIE), which characterizes a country's level of patenting activity into the United States. Using fixed-effects panel data analysis for 50 countries from 1990 through 2010, the authors demonstrate that a country's IIP moderated by IIE influences high-technology exports. The findings suggest that lone genius does have an impact, depending on the phase of a country's IIE development. The implications of these findings for theory, public policy, and international marketing managers are discussed.
|2012||Jeff Joireman, Monte J. Shaffer, Daniel Balliet, and Alan Strathman
|Promotion Orientation Explains Why Future-Oriented People Exercise and Eat Healthy: Evidence From the Two-Factor Consideration of Future Consequences-14 Scale, Personality and Social Psychology Bulletin October 2012; vol. 38, 10: pp. 1272-1287.|
|The authors extended research linking individual differences in consideration of future consequences (CFC) with health behaviors by (a) testing whether individual differences in regulatory focus would mediate that link and (b) highlighting the value of a revised, two-factor CFC-14 scale with subscales assessing concern with future consequences (CFC-Future) and concern with immediate consequences (CFC-Immediate) proper. Exploratory and confirmatory factor analyses of the revised CFC-14 scale supported the presence of two highly reliable factors (CFC-Future and CFC-Immediate; alphas from .80 to .84). Moreover, structural equation modeling showed that those high in CFC-Future engage in exercise and healthy eating because they adopt a promotion orientation. Future use of the two-factor CFC-14 scale is encouraged to shed additional light on how concern with future and concern with immediate consequences (proper) differentially impact the way people resolve a host of intertemporal dilemmas (e.g., health, financial, and environmental behavior)
|2012||Nairanjana (Jan) Dasgupta, Monte J. Shaffer
|Many-to-one comparison of nonlinear growth curves for Washington's Red Delicious apple, Journal of Applied Statistics 39 (8), 1781 - 1795.|
|In this article, we are interested in comparing growth curves for the Red Delicious apple in several locations to that of a reference site. Although such multiple comparisons are common for linear models, statistical techniques for nonlinear models are not prolific. We theoretically derive a test statistic, considering the issues of sample size and design points. Under equal sample sizes and same design points, our test statistic is based on the maximum of an equi-correlated multivariate chi-square distribution. Under unequal sample sizes and design points, we derive a general correlation structure, and then utilize the multivariate normal distribution to numerically compute critical points for the maximum of the multivariate chi-square. We apply this statistical technique to compare the growth of Red Delicious apples at six locations to a reference site in the state of Washington in 2009. Finally, we perform simulations to verify the performance of our proposed procedure for Type I error and marginal power. Our proposed method performs well in regard to both.
|February 2013||AMA Winter Conference, Las Vegas: "Characteristics of Global Innovation: Comparing Innovation Hotspots among Emerging and Developed Markets" with Nita Umashankar and U.N. Umesh|
|November 2012||Patent Statistics Conference for Decision Makers, OECD, Paris: "Entrepreneurial Innovation: Identifying Schumpeterian Shocks and Kirznerian Competition using Patent Rank" with co-authors Francesco Romani, Gianna Del Corso, and U.N. Umesh.|
|June 2012||Conference on Intellectual Property and Innovation, Kauffman Foundation and Searle Center on Law, Regulation, and Economic Growth at Northwestern Law, Chicago|
|June 2012||Marketing Science Conference, Boston|
|1: Predicting a patent's lifetime value using Patent Rank (with Len Jessup, U.N. Umesh*, and Avi Datta).|
|2: Patent Data Center II: Proof of Concept at the University of Arizona (with Len Jessup).|
|3: Leveraging Capabilities for New Product Development: How Emerging Firms Succeed in Biotech (with Rakesh Niraj* and Andrew Gallan).|
|November 2011||Patent Statistics Conference for Decision Makers, USPTO, Washington D.C.|
|June 2011||Marketing Science Conference, Houston|
|1: Patent Rank (with U.N. Umesh, Gerry Tellis, Gianna Del Corso, and Francesco Romani).|
|2: Patent Data Center: Ideas for Development (with U.N. Umesh*).|
I define the intrinsic value of a patent based on citation network analysis. My methodology I have labeled "Patent Rank" in analogy to Google's PageRank algorithm. This more refined measure should supplant the traditional measure (known as forward-citation counts): if not all patents are equal, why would we equally weight every forward citation? My dissertation consisted of four essays. In the first, I demonstrate that Patent Rank is superior to the traditional measure. In the second, I outline a generalized model for Patent Rank and anchor "Entrepreneurial Innovation" studies through the Austrian economic lens. In the third, I create a prediction model to estimate a patent's lifetime value. In the fourth, I demonstrate the financial implications of Patent Rank on firm performance.
We need an eye on data, analysis, and economic-based thinking; precise measures in economics have largely been absent in the decision-making process; we have a veritable treasure trove of data and we, as a community, need to do a better job sharing this information; we need to get a firm grasp on the data; it is urgent that we make the data more publicly accessible; it is imperative that we seek a data-driven understanding of innovation.”
As Chicago's CRSP project is the data repository for daily financial data, here at the University of Arizona we are developing a repository of U.S. patent data known as CRIE (Commercialization Research on Innovation and Entrepreneurship).
Over the past 5 years I have been harvesting, parsing, and extracting variables from the U.S. patent data (over 8 million patents). This data has been organized into over 20 tables in a database (with over 60 million records).
A primary goal of CRIE is to make patent data more accessible for academic consumption. The organization of the data into a relational database enables academics to perform queries and return panels of data.
With efforts to make CRIE viable, we are utilizing grant moneys and other financial assistance to develop a "sustainable research model." Additional benefits beyond what is available for the free version of CRIE will offer viable revenue streams.
|Journal of Service Research||reviewer|
|Journal of Statistical Computation and Simulation||reviewer|
|Journal of Applied Statistics||reviewer|
|AMA||American Marketing Association|
|ASA||American Statistical Association|
|Sheth||2010 Sheth Foundation Doctoral Consortium Fellow|
|University of Arizona|
|Spring 2013||Instructor: Digital Media Marketing (Internet Marketing Design)|
|Instructor: Integrated Marketing Communications|
|Washington State University|
|Instructor: Principles of Marketing (online)|
|Fall 2009||Instructor: Internet Marketing Design|
|TA: Marketing Research (with Ph.D. coordinator Jeff Joireman)|
|TA: Marketing Management, International Marketing (with Yany Gregoire)|
Monte J. Shaffer is owner/founder of Entrepreneurial Innovation, LLC (DBA Patent Rank) which was awarded a National Science Foundation (NSF) small-business-innovation-research (SBIR) grant to commercialize the innovation outlined in his dissertation. Monte previously was an Assistant Visiting Professor at the University of Arizona. He received his Ph.D. in Marketing from Washington State University in 2011. Monte studies innovation, primarily using patent data. Utilizing his unique skills in mathematics, data mining, market research, computer algorithms, Monte has been developing a patent data repository for academics, see http://crie.org/.
"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 concurrently received his Ph.D. in Marketing and a M.S. in Statistics at WSU in Pullman, Washington. After doing a postdoc at the University of Arizona, Monte was awarded a NSF SBIR grant and started his own business enabling him with additional resources to study innovation using patent data. Generally, he likes to identify innovative statistical techniques that can help solve marketing problems. Outside of Marketing, Monte enjoys his family, a good game of basketball, golf, and chess.
Monte's interests in marketing strategy are related to entrepreneurs, entrepreneurial startups, and their perceptions. Specifically, how do they make sense of the information they perceive in the market place and how do these perceptions influence their marketing strategies for their entrepreneurial ideas.