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 | 32 | 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 | 27 | 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 | 26 | 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 | 22 | 2008 |
Deriving joint space positioning maps from consumer preference ratings WS DeSarbo, J Park, VR Rao Marketing Letters 22, 1-14, 2011 | 20 | 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 | 16 | 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 | 8 | 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 | 6 | 2017 |
A new heterogeneous multidimensional unfolding procedure J Park, P Rajagopal, WS DeSarbo Psychometrika 77, 263-287, 2012 | 3 | 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 | 2 | 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 | 1 | 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 | | 2007 |