Sunghoon Kim

Pennsylvania State University

University Park

State College, PA 16802

United States

SCHOLARLY PAPERS

4

DOWNLOADS

60

SSRN CITATIONS

0

CROSSREF CITATIONS

0

Scholarly Papers (4)

1.

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 60 (381,336)

Abstract:

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

2.

A Review of the Major Multidimensional Scaling Models for the Analysis of Preference/Dominance Data in Marketing

Quantitative Modelling in Marketing and Management, L. Mouthinho & K. Huarng (Eds.), World Scientific Press: London, pp. 3-27, 2013
Posted: 19 Jun 2016
Wayne S. DeSarbo and Sunghoon Kim
Pennsylvania State University and Pennsylvania State University

Abstract:

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Multidimensional scaling, vector model, unfolding model, positioning analysis, market segmentation, clusterwise models

3.

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
Pennsylvania State University, Pennsylvania State University and Pennsylvania State University

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

4.

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
Pennsylvania State University, Pennsylvania State University, Acadian Asset Management and Pennsylvania State University

Abstract:

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