Dong Soo Kim
(Last update: March 8, 2023)
Contact Information
558 Fisher Hall2100 Neil Ave.Columbus, OH 43210, USAPhone: +1 (614) 313-4868Email: kim.5042@osu.edu
https://dongsookim.marketing
[Curriculum Vitae][SSRN][Google Scholar]
Assistant Professor of Marketing
Department of Marketing and Logistics
Fisher College of Business
Ohio State University
Academic Positions
Assistant Professor of Marketing, Ohio State University, September 2018 - Present
Visiting Assistant Professor of Marketing, Ohio State University, September 2016 - August 2018
Post-Doctoral Visiting Scholar in Marketing, Ohio State University, July 2013 - August 2016
Education
Ph.D. in Management Engineering, Korea Advanced Institute of Science and Technology (KAIST), 2012
M.S. in Management Engineering, Korea Advanced Institute of Science and Technology (KAIST), 2007
B.S. in Management Engineering, Korea Advanced Institute of Science and Technology (KAIST), 2005
Research Interests
Quantitative Marketing
Choice and Demand Models
Bayesian Estimation
Machine Learning
Entertainment Markets
Publications
Kim, Dong Soo, Sanghak Lee, Taegyu Hur, Jaehwan Kim, and Greg M. Allenby (2023), "A Direct Utility Model for Access Costs and Economies of Scope," Management Science, forthcoming. [download]
Kim, Hyowon, Dong Soo Kim, and Greg M. Allenby (2020), "Benefit Formation and Enhancement," Quantitative Marketing and Economics, 18 419-468. [download]
Kim, Dong Soo, Roger A. Bailey, Nino Hardt, Greg M. Allenby (2017), "Benefit-Based Conjoint Analysis," Marketing Science, 36(1) 54-69. [download]
Media: "Can benefit-based conjoint analysis benefit product design?" by Rene Befurt, Vice President at Analysis Group.
Kim, Youngju, Dong Soo Kim, and Jaehwan Kim (2014), "Non-compensatory Decision Making for Movie Choice: Role of Genre and Online Word of Mouth," Journal of Korean Marketing Association, Vo. 29, February, pp. 1-20 (manuscript in Korean). [download]
Jun, Duk Bin, Dong Soo Kim, Sungho Park, and Myoung Hwan Park (2012), "Parameter Space Restrictions in State Space Models," Journal of Forecasting, Vol. 31, No. 2, pp. 109-123. [download]
Working Papers
Kim, Dong Soo and Mingyu Joo (2023), "Quality-Adjusted Reference Price for Differentiated Goods," Under review at Marketing Science.
Kim, Dong Soo, Chul Kim, Mingyu Joo, and Hai Che (2023), "Counterfactual Demand Prediction by Theory-Regularized Deep Learning," Under review at Marketing Science.
Work in Progress
"Identifying the Effect of a Star Player in Sports Demand: Evidence from KBO Data," with Jeong Seung Park and Jaehwan Kim, empirical analysis
"Manufactured Content Shrinkage: The Effect of Popularity-Based Recommender Systems on Content Diversity," with Taegyu Hur and Chul Kim, empirical analysis