Duncan K. H. Fong

Pennsylvania State University

308 armsby

university park, PA 16802

United States

SCHOLARLY PAPERS

14

DOWNLOADS

333

SSRN CITATIONS

0

CROSSREF CITATIONS

0

Scholarly Papers (14)

1.

Managing Trade-In Programs Based on Product Characteristics and Customer Heterogeneity in Business-to-Business Markets

Number of pages: 39 Posted: 25 Jun 2008
Kate Li, Duncan K. H. Fong and Susan H. Xu
Pennsylvania State University, Pennsylvania State University and Pennsylvania State University, University Park - Department of Supply Chain and Information Systems
Downloads 152 (197,536)

Abstract:

Loading...

empirical research, trade-in program, signal-based forecast, count regression models, customer segmentation, substitutable and complementary products

2.

A Heterogeneous Bayesian Regression Model for Cross-Sectional Data Involving a Single Observation Per Response Unit

Psychometrika, Volume 77, Issue 2 (2012), Page 293-314
Number of pages: 42 Posted: 30 Aug 2011 Last Revised: 09 Mar 2013
Duncan K. H. Fong, Peter Ebbes and Wayne S. DeSarbo
Pennsylvania State University, HEC Paris - Marketing and Pennsylvania State University
Downloads 114 (247,203)

Abstract:

Loading...

Bayesian estimation, cross-sectional analysis, heterogeneity, consumer psychology, inequality sign constraints

3.

Implementing Managerial Constraints in Model Based Segmentation: Extensions of Kim, Fong, and DeSarbo (2012) with an Application to Heterogeneous Perceptions of Service Quality

Journal of Marketing Research, Forthcoming., Georgetown McDonough School of Business Research Paper
Number of pages: 63 Posted: 09 Jun 2013
Pennsylvania State University, Georgetown University - Robert Emmett McDonough School of Business, Pennsylvania State University and Pennsylvania State University
Downloads 59 (367,470)

Abstract:

Loading...

Bayesian Regression Models, Market Segmentation, Variable Selection, SERVQUAL, SERVPERF, Finite Mixture Models, Heterogeneity

4.

Two-Mode Cluster Analysis via Hierarchical Bayes

Studies in Classification, Data Analysis, and Knowledge Organization, Chapter: Innovations in Classification, Data Science, and Information Systems, pp 19-29, 2003
Number of pages: 11 Posted: 11 Jun 2016
Wayne S. DeSarbo, Duncan K. H. Fong and John Liechty
Pennsylvania State University, Pennsylvania State University and Pennsylvania State University, University Park
Downloads 8 (608,174)

Abstract:

Loading...

5.

Model-Based Segmentation Featuring Simultaneous Segment-Level Variable Selection

Journal of Marketing Research, Vol. 49, No. 5, pp. 725-736, 2012
Posted: 19 Jun 2016
Sunghoon Kim, Duncan K. H. Fong and Wayne S. DeSarbo
Pennsylvania State University, Pennsylvania State University and Pennsylvania State University

Abstract:

Loading...

Bayesian analysis, finite mixtures, perceived quality, multiple regression, customer satisfaction

6.

A Bayesian Multinomial Probit Model for the Analysis of Panel Choice Data

Psychometrika, Volume 81, Issue 1, pp 161–183, 2016
Posted: 18 Jun 2016
Duncan K. H. Fong, Sunghoon Kim, Zhe Chen and Wayne S. DeSarbo
Pennsylvania State University, Pennsylvania State University, Acadian Asset Management and Pennsylvania State University

Abstract:

Loading...

Bayesian analysis, heterogeneity, multinomial probit model, panel data, parameter expansion, marketing, consumer psychology

7.

A Bayesian Vector Multidimensional Scaling Procedure Incorporating Dimension Reparameterization with Variable Selection

Psychometrika, Volume 80, Issue 4, pp 1043–1065, 2015
Posted: 18 Jun 2016
Duncan K. H. Fong, Wayne S. DeSarbo, Zhe Chen and Zhuying Xu
Pennsylvania State University, Pennsylvania State University, Acadian Asset Management and Pennsylvania State University

Abstract:

Loading...

bayesian analysis, multidimensional scaling, vector model, variable selection, QR decomposition, reparameterization, consumer psychology

8.

Revisiting Customer Value Analysis in a Heterogeneous Market

Journal of Modelling in Management 5:1, pp 8-24 (2010)
Posted: 17 Jun 2016
Wayne S. DeSarbo, Peter Ebbes, Duncan K. H. Fong and Charles C. Snow
Pennsylvania State University, HEC Paris - Marketing, Pennsylvania State University and Pennsylvania State University

Abstract:

Loading...

Value analysis, Customer relations, Demand, Bayesian statistical decision theory, Prices, Quality

9.

A Bayesian Vector Multidimensional Scaling Procedure for the Analysis of Ordered Preference Data

Journal of the American Statistical Association, Volume 105, Issue 490, pages 482-492 (2010)
Posted: 17 Jun 2016
Duncan K. H. Fong, Wayne S. DeSarbo, Joonwook Park and Crystal Scott
Pennsylvania State University, Pennsylvania State University, University of Kentucky - Marketing and Supply Chain and University of Michigan at Dearborn - School of Management

Abstract:

Loading...

Bayesian analysis, Multidimensional scaling, Preference analysis, Sports utility vehicles

10.

A Bayesian Approach to the Spatial Representation of Market Structure from Consumer Choice Data

European Journal of Operational Research, Volume 111, Issue 2, Pages 285–305
Posted: 11 Jun 2016
Wayne S. DeSarbo, Youngchan Kim, Michel Wedel and Duncan K. H. Fong
Pennsylvania State University, University of Groningen - Department of Marketing & Marketing Research, University of Maryland - Robert H. Smith School of Business, Marketing Department and Pennsylvania State University

Abstract:

Loading...

Multidimensional scaling, Context effects, Bayesian analysis, Choice models, Competitive market structure

11.

Dynamic Models Incorporating Individual Heterogeneity: Utility Evolution in Conjoint Analysis

Marketing Science, Vol. 24, No. 2, pp. 285-293, 2005
Posted: 11 Jun 2016
John Liechty, Duncan K. H. Fong and Wayne S. DeSarbo
Pennsylvania State University, University Park, Pennsylvania State University and Pennsylvania State University

Abstract:

Loading...

heterogeneity, empirical utility functions, dynamic models, Bayesian analysis, conjoint analysis, unbiased dynamic estimates

12.

Evolutionary Preference/Utility Functions: A Dynamic Perspective

Psychometrika, Volume 70, Issue 1, pp 179-202, 2005
Posted: 11 Jun 2016
Pennsylvania State University, Pennsylvania State University, Pennsylvania State University, University Park and Pennsylvania State University

Abstract:

Loading...

preference analysis, dynamic models, bayesian analysis, sequential measurement

13.

A Hierarchical Bayesian Procedure for Two-Mode Cluster Analysis

Psychometrika, Volume 69, Issue 4, pp 547-572, 2004
Posted: 11 Jun 2016
Wayne S. DeSarbo, Duncan K. H. Fong, John Liechty and M. Kim Saxton
Pennsylvania State University, Pennsylvania State University, Pennsylvania State University, University Park and Indiana University - Kelley School of Business - Department of Marketing

Abstract:

Loading...

Cluster analysis, hierarchical Bayesian analysis, finite mixture models, consumer psychology

14.

A Bayesian Methodology for Simultaneously Detecting and Estimating Regime Change Points and Variable Selection in Multiple Regression Models for Marketing Research

Quantitative Marketing and Economics, Volume 5, Issue 4, pp 427-453, 2007
Posted: 11 Jun 2016
Wayne S. DeSarbo and Duncan K. H. Fong
Pennsylvania State University and Pennsylvania State University

Abstract:

Loading...

Change point models, Variable selection, Bayesian analysis, Multiple regression models, Promotion response modeling