Joonwook Park
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The moderating role of relationship quality in the effect of service satisfaction on repurchase intentions
J Park, S Chaiy, S Lee
Korea Marketing Review 13 (2), 119-139, 1998
A dynamic choice map approach to modeling attribute-level varied behavior among stockkeeping units
JJ Inman, J Park, A Sinha
Journal of Marketing Research 45 (1), 94-103, 2008
Practice prize reports
A Sinha, JJ Inman, Y Wang, J Park, GJ Tellis, RK Chandy, D MacInnis, ...
Marketing Science 24 (3), 351-366, 2005
A hierarchical Bayesian multidimensional scaling methodology for accommodating both structural and preference heterogeneity
J Park, WS DeSarbo, J Liechty
Psychometrika 73, 451-472, 2008
Deriving joint space positioning maps from consumer preference ratings
WS DeSarbo, J Park, VR Rao
Marketing Letters 22, 1-14, 2011
A Bayesian vector multidimensional scaling procedure for the analysis of ordered preference data
DKH Fong, WS DeSarbo, J Park, CJ Scott
Journal of the American Statistical Association 105 (490), 482-492, 2010
A model-based approach for visualizing the dimensional structure of ordered successive categories preference data
WS DeSarbo, J Park, CJ Scott
Psychometrika 73, 1-20, 2008
A new Bayesian spatial model for brand positioning
J Park, P Rajagopal, W Dillon, S Chaiy, W DeSarbo
Journal of Modelling in Management 12 (3), 404-431, 2017
A new heterogeneous multidimensional unfolding procedure
J Park, P Rajagopal, WS DeSarbo
Psychometrika 77, 263-287, 2012
A State-Space Approach for Structural Equation Model with Time Series Cross-Sectional Data
J Park, W Dillon, S Lee
Structural Equation Modeling: A Multidisciplinary Journal 26 (2), 236-259, 2019
Dynamic Multilevel Covariance Structure Models for Analyzing Rolling Cross-Sectional Tracking Surveys
J Park, WR Dillon
SMU Cox School of Business Research Paper, 2017
A hierarchical Bayesian finite mixture multidimensional scaling approach for accommodating structural and preference heterogeneity in three way preference data
J Park
The Pennsylvania State University, 2007
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