Research and Talks

Selected Work-in-Progress

I am fortunate to work with exceptional co-authors (advisors) who are not only outstanding scholars but also generous and thoughtful mentors.

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Do Store Openings Affect Categories with Digital vs. Non-Digital Attributes Differently?

with Kathleen T. Li and Christophe Van den Bulte

Abstract

Existing research suggests that physical showrooms, which are zero-inventory stores where customers can try on products, can boost overall sales for online retailers. Yet little attention has been given to how the effect of opening a showroom varies across product types and customer segments. In this paper, we investigate whether opening a showroom has a different effect on product categories with more non-digital (e.g. suits) vs. more digital attributes (e.g. ties) and how the effect varies based on individual customer experience within the product category. Using approximately 4 million transactions from a men’s clothing retailer that opened showrooms in several U.S. cities, we employ a difference-in-differences approach to study the effect of opening showrooms and directly test the mechanism that showroom openings boost sales by resolving the customer uncertainty about non-digital attributes. We hypothesize that (1) showroom openings will have a stronger positive effect on sales for product categories with more non-digital attributes because it is more important to try on those products to learn about the fit, and (2) the positive effect on sales of opening a showroom will be more pronounced among less experienced customers. The findings support both hypotheses, demonstrating that showrooms significantly drive sales for non-digital product categories and have the most substantial impact on customers with limited experience in the product category.

Keywords: Showroom Opening, Retail Sales, Customer Fit and Sizing Learning, Digital vs. Non-Digital Attributes

Conference Presentation: "Why and When Do Showroom Openings Affect Retail Sales?"

First-Year Paper Doctoral Milestone Presentations

The University of Texas at Austin

Austin, TX

September, 2024

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University of Houston the 42nd Annual Doctoral Symposium

University of Houston

Houston, TX

  • April, 2025
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Store Lifecycles and Their Early Signals

with Rex Y. Du and Kathleen T. Li

Conference Presentation: "From Foot Traffic to Same-Store Sales: When Harbingers Improve Investor Forecasts"

9th Marketing Strategy Meets Wall Street (MSMW)

The University of Texas at San Antonio

San Antonio, TX

March, 2026 (scheduled)

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Conference Presentation: "Harbingers of Store Lifecycles"

Third-Year Paper Doctoral Milestone Presentations

The University of Texas at Austin

Austin, TX

January, 2026

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Peer-Reviewed Publications

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Comparing The Impacts of COVID-19 On Residential Rental Market Across Rental Sectors

Jiao, J., Wu, X.*, Chen, Y. and Farahi, A. (2024), Cities, Vol. 151 No. 105074.

The number of COVID-19-related deaths and local awareness positively influence rental prices for single-family residences, with these effects being more pronounced in suburban areas and communities with lower population density. In contrast, the number of confirmed COVID-19 cases has a negative impact on rental prices for condominiums and duplexes. Furthermore, during the pandemic, social factors affect rental prices differently for single-family homes compared to condominiums.

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How The Single-Family Residence Housing Market Capitalizes Green Property Upgraded Features

Jiao, J., Wu, X.*, Chen, Y. and Farahi, A. (2023), International Journal of Housing Markets and Analysis, Vol. 18 No. 2, pp. 398-415.

Green efficiency features are generally associated with an 11.9% increase in single-family home prices, while green sustainability upgrades can raise selling prices by approximately 11.7%. Although green housing certifications do not significantly affect most housing segments, they do lead to a 13.2% price premium for single-family homes sold in the mid-price range - a greater impact than simply listing green features on the MLS.

Other Work Samples

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Python, Databases, & Big Data

The goals of this team project are to give an insightful idea about the data-relevant job market in Texas, California, and New York, visualized by Tableau and to help job-seekers match the job position effectively and efficiently by developing a interactive matching tool.

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Research Proposal for Ph.D. Health Economics Seminar

Health Insurance Literacy and Healthcare Usage Among U.S. College Students: A Comparison of Domestic and International Students