Dong Soo Kim

Visiting Scholar (Adjunct Faculty) in Marketing
Department of Marketing and Logistics
Fisher College of Business
Ohio State University

Academic Positions

• Visiting Scholar (Adjunct Faculty) in Marketing, Ohio State University, August 2024 - Present

• Assistant Professor of Marketing, Ohio State University, September 2018 - August 2024

• 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

• Neural Networks and Machine Learning

• Entertainment Markets

• Artificial Intelligence (AI)

Books and Book Chapters

• Kim, Dong Soo & Greg M. Allenby. 2024. Price Optimization. Elgar Encyclopedia of Pricing, edited by Andreas Hinterhuber, EE Publishing.

Publications

• Kim, Chul, Dong Soo Kim, Mingyu Joo, & Hai Che. 2024. Theory-Regularized Deep Learning for Demand-Curve Estimation and Prediction. Proceedings of the IEEE International Conference on Artificial Intelligence for Business (AIxB).

• Kim, Dong Soo, Sanghak Lee, Taegyu Hur, Jaehwan Kim, & Greg M. Allenby. 2024. A Direct Utility Model for Access Costs and Economies of Scope. Management Science, 70(6), 3398-3416.

• Kim, Dong Soo. 2024. Identifying the Actual Impact of Online Social Interactions on Demand. Asia Marketing Journal, 26(1), 23-30.

• 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, 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. 2024. Contextual Choice Model via Opportunity Cost Consideration.

• Kim, Chul, Dong Soo Kim, Mingyu Joo, & Hai Che. 2023. Counterfactual Demand Prediction by Theory-Regularized Deep Learning.

Work in Progress

• "A Choice-Set-Irrelevant Context Effect on Price Sensitivity of Demand and Market Shares: Empirical Evidence from Liberalization of Beer Sales in Grocery Stores" with Mingyu Joo, empirical analysis

• "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 and an Implication on AI-generated Contents" with Taegyu Hur & Chul Kim, empirical analysis

• "Bayesian Matching Estimation for Heterogeneous Treatment Effects" with Chul Kim & 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. 2024. Reproducibility in Management Science. Management Science, 70(3), 1343-1356. (as a member of the Management Science Reproducibility Collaboration)