| David J. Curry, PhD, MBA |
| Professor of Marketing |
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 Dr. Curry specializes in the development of computerized solutions to problems in marketing and e-commerce, particularly the design of intelligent software agents and models to predict consumer choice. His expertise in data modeling includes psychometric/econometric techniques (conjoint analysis and discrete-choice analysis), conventional general linear model techniques (factor analysis, analysis of variance), forecasting (regression and time-series analysis), optimization (mathematical programming, dynamic systems), and emerging techniques in ‘soft computing', such as machine learning (support vector machines), neuro-computing, and genetic algorithms.
Professor Curry serves as the PhD Program Coordinator in Marketing.
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| Contact Information |
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| E-mail: |
david.curry@uc.edu |
Phone: |
(513) 556-7008 |
| Office/Address: |
427 Carl H. Lindner Hall
PO Box 210145
Cincinnati, Ohio 45221-0145 |
Fax: |
(513) 556-4891 |
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| Areas of Expertise |
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| General Expertise: |
Marketing |
| Specific Expertise: |
Conceptual Modeling, Consumer Behavior, Data Analysis, E-Commerce, Market Research, Pricing |
| Research Interests: |
Marketing Research, Pricing, Information Technology in Marketing, Marketing Models, Conjoint Analysis, Discrete-Choice Analysis (hierarchical Bayesian modeling), Soft-Computing Techniques (e.g., the Support Vector Machine) |
| Teaching Interests: |
Marketing Research, Pricing, Information Technology in Marketing, Marketing Models, Conjoint Analysis and Discrete Choice Modeling, International Marketing |
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| Working Papers |
- “Consumer Decision Theory and Price Transparency: When Consumer Utility Increases with Price” with Robert Carter
- “Forecasting and Understanding Presidential Elections Using Discrete-Choice Analysis,” with Jim Cochran, Rajesh Radhakrishnan, and Jon Pinnell
- "Friend or Foe: The Impact of Line Extension Advertising and Quality on the Parent Brand" with Robert Carter
- "Using a Dynamic Choice Model to Estimate Tuition Elasticity" with Robert Carter and Josette Riep
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| Publications |
- Wang, Xinfang, Jeffrey Camm, and DAVID J. CURRY (2009), "A Branch and Price Approach to the Share-of-Choice Product Line Problem,” Management Science, v. 55, n. 10, (October), p. 1718-28.
- Camm, Jeffrey, Jim Cochran, DAVID J. CURRY, and Sriram Kannan (2006), "Conjoint Optimization: An Exact Branch-and-Bound Algorithm for the Share-of-Choice Problem", Management Science, v. 52, n. 3 (March), p. 435-47.
- Robertson, Bruce, Andrea Dixon, and DAVID J. CURRY (2006), "An Agenda for Selling and Sales Management Research: Using the Financial Industry's Forward Thinkers for Insight", Journal of Personal Selling and Sales Management, v. 26, n. 3 (Summer), p. 293-303.
- Cui, Dapeng and DAVID J. CURRY (2005), “Prediction in Marketing Using the Support Vector Machine,” Marketing Science, v. 24, No. 4, (Fall), p. 595-615.
- CURRY, DAVID J. (2004), “Iso-Profit Pricing for Product Lines” the Journal of Product and Brand Management, v13, n 6, 453-468
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| Affiliations |
- The Association for Consumer Research
- INFORMS: Institute of Operations Research and Management Science
- American Marketing Association
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| Honors & Achievements |
- Best Paper Award (with Robert Carter), "Using a Dynamic Choice Model to Estimate Tuition Elasticity", the Marketing Research and Technology Track, 2009 Summer Marketing Educators' Conference, Chicago, IL; June, 2009.
- CBA: Summer (2005) Research Award for “Open-Loop Genetic Optimization: Development, Tests, and Applications”
- Best Paper Award (with Robert Carter), “Earning a Premium without Changing the Product: Using Price Transparency to Create a Competitive Advantage,” Advancing Marketing Theory and Practice; 2005 Summer Marketing Educators Conference, San Francisco, CA; July 29-August 1, 2005.
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| Education |
- PhD University of California, Berkeley
- MBA University of Colorado, Boulder
- BS University of Colorado, Boulder
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