Dong Soo Kim

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