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Date
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Speaker
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Topic
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Faculty Host
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4/16/2027
MH 365A
11:00AM-12:30PM
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Xiao Liu
New York University
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Hanyu
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4/10/2027
CBB 310
9:00 AM - 4:30 PM
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Doctoral Students
Various Institutions
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The 44th Annual UH Marketing Doctoral Symposium
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Click to read Abstract
Doctoral Student Research Presentations
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4/9/2027
CBB 310
3:45 PM - 6:00 PM
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Keynote Speaker: TBD
TBD
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The 44th Annual UH Marketing Doctoral Symposium
-
Click to read Abstract
Welcome and Keynote Address
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3/26/2027
MH 365A
11:00AM-12:30PM
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Khai Chiong
University of Texas, Dallas
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Yanyan
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3/5/2027
MH 365A
11:00AM-12:30PM
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Dennis Zhang
Washington University in St. Louis
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Yanyan
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2/26/2027
MH 365A
11:00AM-12:30PM
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Hortense Fong
Columbia University
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Bowen
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2/5/2027
MH 365A
11:00AM-12:30PM
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Andrew Crecelius
Iowa State University
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Nate
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1/29/2027
MH 365A
11:00AM-12:30PM
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Evan Weingarten
USC
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Byung
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11/13/2026
MH 365A
11:00AM-12:30PM
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Francesca Valsesia
University of Washington
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|
Byung
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11/6/2026
MH 365A
11:00AM-12:30PM
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Emaad Manzoor
Cornell University
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Yanyan
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10/30/2026
MH 365A
11:00AM-12:30PM
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Kelly Herd
University of Connecticut
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Byung
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10/16/2026
MH 365A
11:00AM-12:30PM
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Bryan Bollinger
Dartmouth College
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Bowen
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10/9/2026
MH 365A
11:00AM-12:30PM
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Adrian Ward
The University of Texas at Austin
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|
Byung
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10/2/2026
MH 365A
11:00AM-12:30PM
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Mauricio Palmeira
University of South Florida
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|
Nate
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4/11/2026
CBB 310
9:00 AM - 4:30 PM
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Doctoral Students
Various Institutions
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The 43rd Annual UH Marketing Doctoral Symposium
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Click to read Abstract
Doctoral Student Research Presentations
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|
4/10/2026
CBB 310
3:45 PM - 6:00 PM
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Sandy Jap
Emory University
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The 43rd Annual UH Marketing Doctoral Symposium
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Click to read Abstract
Welcome and Keynote Address
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4/3/2026
MH 365A
11:00AM-12:30PM
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Ankit Sisodia
Purdue University
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Economic Value of Visual Design: Evidence from the UK Automobile Market
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Click to read Abstract
We examine whether and how visual design of products has economically meaningful effects on demand and competition, focusing on the automobile market. Visual design has been challenging to empirically characterize in a manner that is human-interpretable yet sufficiently rich. We leverage a recently developed method to help achieve low-dimensional disentangled representations of visual design, using data from the UK automobile market across 2008-2017. We obtain human-interpretable visual characteristics that are orthogonal and can reconstruct the original design of all the products (make-models), thus spanning the range of products in the market. We incorporate these visual characteristics into a structural model of demand and supply based on the classic BLP framework. We quantify how economically meaningful quantities like elasticity vary across models with visual characteristics compared with the standard baseline without visual characteristics, and find a substantial economic impact. We also evaluate a counterfactual in which we remove a focal product's closest neighbor in functional (or visual) characteristics, and then comparing how the equilibrium quantities (prices, market shares) vary. We find that removing the closest ''visual neighbor'' has an effect similar to removing the closest ''functional neighbor,'' highlighting the economically meaningful role of visual characteristics. Additionally, we quantify the value of a specific visual redesign by examining a vehicle facelift that altered front-end design while leaving functional characteristics unchanged, and find that the redesign generated meaningful gains in market share and profit.
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