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Ivy Chu Dang Assistant Professor of Marketing HKU Business School The University of Hong Kong Email: ivydang [at] hku.hk My HKU Page |
Hi, this is Ivy! I am an assistant professor of marketing at HKU Business School. My research focuses on the economics of information in the domain of quantitative marketing. I study how consumers search for information, how information influences their choices and the information provision strategies of firms. My interests also extend to social media marketing. I explore the effects of Marketer-Generated Content (MGC), User-Generated Content (UGC) and AI-Generated Content (AIGC) on social media. I also study the emerging trends in live-commerce and influencer marketing.
I joined The University of Hong Kong in 2020, after receiving my Ph.D. in marketing from CUHK Business School. I hold a M.S. in economics from CUHK and a B.S. in applied physics from BJTU. Before studying business and economics, I also spent two years in RB Liu Lab doing research in quantum information as a HKPFS PhD candidate in physics. In my spare time, I enjoy running, hiking and playing with my little one.
I co-organized the 14th Consumer Search and Switching Costs Workshop in Hong Kong in June 2025.
Hi, this is Ivy! I am an assistant professor of marketing at HKU Business School. My research focuses on the economics of information in the domain of quantitative marketing. I study how consumers search for information, how information influences their choices and the information provision strategies of firms. My interests also extend to social media marketing. I explore the effects of Marketer-Generated Content (MGC), User-Generated Content (UGC) and AI-Generated Content (AIGC) on social media. I also study the emerging trends in live-commerce and influencer marketing.
I joined The University of Hong Kong in 2020, after receiving my Ph.D. in marketing from CUHK Business School. I hold a M.S. in economics from CUHK and a B.S. in applied physics from BJTU. Before studying business and economics, I also spent two years in RB Liu Lab doing research in quantum information as a HKPFS PhD candidate in physics. In my spare time, I enjoy running, hiking and playing with my little one.
I co-organized the 14th Consumer Search and Switching Costs Workshop in Hong Kong in June 2025.
RESEARCH INTERESTS
Information Economics (e.g., Search, Matching and Learning), Empirical IO, Digital Platform, Social Media
TEACHING
Introduction to Marketing
Social Media Marketing
JOURNAL ARTICLES
WORK-IN-PROGRESS TOPICS
MAJOR GRANTS
AWARDS AND HONOURS
RESEARCH INTERESTS
Information Economics (e.g., Search, Matching and Learning), Empirical IO, Digital Platform, Social Media
TEACHING
Introduction to Marketing
Social Media Marketing
JOURNAL ARTICLES
- Ivy Chu Dang, Raluca Ursu, Pradeep Chintagunta (2026) "Going Back to Move Forward? How Search Revisits on a Website We Built Inform Us about Search Outcomes", Quantitative Marketing and Economics, 24(6), https://doi.org/10.1007/s11129-025-09304-8
- Previously circulated under the title "Search Revisits" and "Product Revists and Consumer Consideration Sets"
- Working paper version (with both experiment and field data): here
- Ivy Chu Dang, Canice Kwan, Jayson Jia and Yang Shi (2026) "When Words Meet Visuals: How Content Composition Drives Social Media Engagement for Marketer-Generated Content", Journal of Marketing Research, 63(1), 167-190.
- Hongchuan Shen, Ivy Chu Dang and Michael Zhang (2024) "Mr. Right or Mr. Best: The Role of Information under Preference Mismatch in Online Dating", Information Systems Research, 35(4), 2013-2029.
- Mandy Hu, Ivy Chu Dang and Pradeep K. Chintagunta (2019) "Search and Learning at a Daily Deals Website", Marketing Science, 38(4), 609-642.
- Chu (Ivy) Dang (2017). Network-Based Targeting: Big Data Applications in Mobile Industry. In Big Data Applications in the Telecommunications Industry (pp. 78-107). IGI Global. (Book Chapter)
WORK-IN-PROGRESS TOPICS
- Testing theories of how consumers acquire and process information
- Funded by the Becker Friedman Institute (BFI)
- UGC, MGC and AIGC on social media
- Influencer marketing
MAJOR GRANTS
- PI, General Research Fund, #17506824, Hong Kong RGC
- PI, Early Career Scheme #27504221, Hong Kong RGC
- PI, Basic Research Fund, HKU Business School Shenzhen Research Institutes
- PI, Seed Fund for Research, HKU
AWARDS AND HONOURS
- Faculty Outstanding Teacher Award, 2025
- Faculty UG Teaching Reward, 2025, 2024, 2022
- ISMS Early Career Camp Fellow, 2025
- AMA-Sheth Foundation Doctoral Student Consortium Fellow, 2019
