Duncan K. Fong
Professor of Marketing
Department Marketing
Office Address 456 Business Building
Phone Number
814-863-3541
Email Address
i2v@psu.edu
Duncan K. Fong
Professor of Marketing
Department Marketing
Office Address 456 Business Building
Phone Number
814-863-3541
Email Address
i2v@psu.edu
Duncan K. H. Fong, Frank and Mary Jean Smeal Research Fellow, is Professor of Marketing and Statistics at Penn State. He is a former chairman of the Marketing Department (2010-13) and a former Ph.D. Director of Smeal Ph.D. Programs (2009). Professor Fong has served as the Ph.D. Coordinator of the Marketing Department from 2004 to 2010, 2014-2015, and 2019-2021. He had been invited as a visiting scholar/professor at Yale University (2017), Columbia University (2017), University of Maryland (2011), City University of Hong Kong (2008), Duke University (2003), and Georgia Institute of Technology (1994). He has published more than fifty refereed articles in various top journals in Marketing, Statistics, Operations Management and Operations Research.
Professor Fong is a Fellow of the American Statistical Association, Fellow of the International Society for Bayesian Analysis, and Fellow of the Royal Statistical Society. He is currently an Editorial Board Member of Marketing Science and the International Journal of Research in Marketing. In addition, he has previously served as Associate Editor of the Journal of the American Statistical Association, Associate Editor of the Journal of Business & Economic Statistics, Editor of Asian European Journal of Mathematics, and Associate Editor of the ISBA Bulletin. Professor Fong is a Founding Member of the International Society for Bayesian Analysis and served on its Governing Board from 1992 to 1994. At Penn State, he has served on 34 doctoral committees and 13 M.S. committees, supervised 10 doctoral dissertations, 3 master theses and 1 undergraduate honors thesis. His former Ph.D. advisees were placed at universities and industrial firms.
Expertise
Professor Fong's research interests include marketing research, marketing analytics, Bayesian analysis, operations and supply chain management. He is currently working on several projects, which include the development of new methodologies to perform market segmentation, the investigation of dynamic evolution of consumer preferences, Bayesian multidimensional scaling procedures, among others.
Education
Ph D, Statistics, Purdue University, 1987
MS, Statistics, Purdue University, 1984
BS, Mathematics (first class honor), The Chinese University of Hong Kong, 1979
Courses Taught
MKTG 342 – Marketing Research (3)
Research approaches, methods, and applications studied as a formal approach to problem solving for marketing decisions.
MKTG 596 – Individual Studies (Variable)
MKTG 600 – Thesis Research (Variable)
MKTG 597 – Special Topics (3)
Formal courses given on a topical or special interest subject which may be offered infrequently; several different topics may be taught in one year or term.
MKTG 590 – Colloquium (2)
Continuing seminars that consist of a series of individual lectures by faculty, students, or outside speakers.
MKTG 597A – Marketing in Challenging Times (3)
This course focuses on two aspects of Bayesian Statistics: hierarchicial modelbuilding and inference using the Markov chain Monte Carlo algorithm.
STAT 596 – Individual Studies (variable)
Creative projects, including nonthesis research, which are supervised on an individual basis and which fall outside the scope of formal courses.
MKTG 597B – Marketing Engineering (2)
Special topics course for graduate students.
MKTG 597E – Bayesian Methods with Application in Marketing and Behavioral Science (3)
Formal courses given on a topical or special interest subject which may be offered infrequently; several different topics may be taught in one year or term.