Dong Soo Kim
(Last update: November 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
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
Artificial Intelligence (AI)
Books and Book Chapters
Kim, Dong Soo & Greg M. Allenby. 2023. Price Optimization. Encyclopedia of Pricing, Andreas Hinterhuber (ed.), EE Publishing, forthcoming.
Publications
Kim, Dong Soo. 2023. A Simultaneous Equation Model of Demand and Supply Incorporating Misestimation of Consumers' Quality Perception and Firms' Dynamic Marketing Strategy. Journal of Marketing Management Research, 28(4), 53-71. (manuscript in Korean)
Kim, Dong Soo, Sanghak Lee, Taegyu Hur, Jaehwan Kim, & Greg M. Allenby. 2023. A Direct Utility Model for Access Costs and Economies of Scope. Management Science, forthcoming.
Kim, Hyowon, Dong Soo Kim, & Greg M. Allenby. 2020. Benefit Formation and Enhancement. Quantitative Marketing and Economics, 18(4), 419-468.
Kim, Dong Soo, Roger A. Bailey, Nino Hardt, & Greg M. Allenby. 2017. Benefit-Based Conjoint Analysis. Marketing Science, 36(1), 54-69.
Media: "Can benefit-based conjoint analysis benefit product design?" by Rene Befurt, Vice President at Analysis Group.
Kim, Youngju, Dong Soo Kim, & Jaehwan Kim. 2014. Non-compensatory Decision Making for Movie Choice: Role of Genre and Online Word of Mouth. Journal of Korean Marketing Association, 29(February), 1-20. (manuscript in Korean)
Jun, Duk Bin, Dong Soo Kim, Sungho Park, & Myoung Hwan Park. 2012. Parameter Space Restrictions in State Space Models. Journal of Forecasting, 31(2), 109-123.
Choi, Won Hyeok, Duk Bin Jun, Dong Soo Kim, & Jaesun Noh. 2011. Spurious Mean-Reversion of Stock Prices in the State-Space Model. Journal of the Korean Operations Research and Management Science Society, 36(1), 13-26.
Working Papers
Kim, Dong Soo & Mingyu Joo. 2023. Quality-Adjusted Reference Price for Differentiated Goods. In preparation for resubmission to Management Science.
Chul Kim, Dong Soo Kim, Mingyu Joo, & Hai Che. 2023. Counterfactual Demand Prediction by Theory-Regularized Deep Learning. In preparation for resubmission to Marketing Science.
Kim, Dong Soo. 2023. Identifying the Actual Impact of Online Social Interactions on Demand. Under review at Asia Marketing Journal.
Work in Progress
"Identifying the Effect of a Star Player in Sports Demand: Evidence from KBO Data" with Jeong Seung Park & Jaehwan Kim, empirical analysis
"Manufactured Content Shrinkage: The Effect of Popularity-Based Recommender Systems on Content Diversity" with Taegyu Hur & Chul Kim, empirical analysis
"Bayesian Matching Estimation for Heterogeneous Treatment Effects" with Jaehwan Kim. empirical analysis
"Modeling Heterogeneity Accounting for Consumer Similarity and Behavioral Correlation" with Jaehwan Kim, empirical analysis
"A Spillover effect of AI-Generated Design on Consumers' Quality Perception" with Dongyoup Kim, Jianna Jin, & Sara Kim, experiment design and data collection
Other Publications
Fišar, Miloš, Ben Greiner, Christoph Huber, Elena Katok, Ali Ozkes, & the Management Science Reproducibility Collaboration. 2023. Reproducibility in Management Science. Working Paper: https://osf.io/mydzv/. (as a member of the Management Science Reproducibility Collaboration)