Hong Kong Joint School Conference (Quant track)

December 1, 2026

Registration

Join us on December 1

Please register by November 15, 2026 (Sunday). There is no registration fee.

Register here

About

The 2026 Hong Kong Joint School Quantitative Marketing Conference will be hosted by HKU Business School. The conference brings together leading scholars who use quantitative approaches to address important marketing questions. It aims to disseminate research, facilitate the exchange of ideas, and foster collaboration.

We are delighted to welcome Professor Bryan Bollinger from the Tuck School of Business at Dartmouth as our keynote speaker. Colleagues from universities across Hong Kong will also present their latest research (see Programme Rundown).

We welcome faculty members and PhD students from all universities in Hong Kong to attend. Please register early to secure your place.

Date: December 1, 2026

Venue: HKU@iCube, Rooms 4005–4007, 40/F, Two Exchange Square, 8 Connaught Place, Central

Contact: Professor Jinzhao Du at jinzhao.du@hku.hk

Programme Rundown

Time Programme Institution
8:30–9:00 am
Registration
—
9:00–9:45 am
Presentation 1
Chong Bo Zack Wang
“Equilibrium in the Sharing Economy: Field Experiments on Cross-Side Effects”
joint with Qiyuan Wang (PolyU), Tat Chan (HKU), and Song Yao (Washington University in St. Louis)
HKU
9:45–10:30 am
Presentation 2
Qian Wang
“Demand Information Sharing Under Consumer Inequality Aversion”
joint with Jinghao Chen (University of Science and Technology of China) and Yimin Yu (CityU)
Lingnan
10:30–10:45 am
Break
—
10:45–11:30 am
Presentation 3
Jiajia Cong
“Green Persuasion for Certification: Greenwashing, Brownwashing, and Truth-Telling”
joint with Xiaokun Wang (Fudan University)
CityU
11:30 am–12:15 pm
Presentation 4
Jasmine Yang
“Summarize or Tease: How Thumbnails Represent Videos and Shape Viewing Decisions”
joint with Oded Oetzer (Columbia University)
CUHK
12:15–2:15 pm
Lunch
—
2:15–3:00 pm
Keynote
Bryan Bollinger
Dartmouth
3:00–3:45 pm
Presentation 6
Zirou Chen
“Predictive Accuracy, Consumer Search, and Personalized Recommendation”
joint with Mengze Shi (HKUST) and Zemin (Zachary) Zhong (University of Toronto)
HKBU
3:45–4:00 pm
Break
—
4:00–4:45 pm
Presentation 7
Francesco Gabriele
“Targeting Compliance: Minimum Purchase Thresholds and Personalized Promotions”
HKUST
4:45–5:30 pm
Presentation 8
Ivy Chu Dang
“Uneven Diffusion of Generative AI and Gender Inequality in Creative Markets”
joint with Hongcan Zhou (HKU), Hongchuan Shen (University of Macau), and Michael Zhang (CUHK)
HKU