MKTG Research Seminar Series: April 11 Tipping Design
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Online Tipping under an Evolving Social Norm: Implications for Platform Design
- Dr. Mina Ameri
- ASSISTANT PROFESSOR OF MARKETING
- University of Pittsburgh
We study how users tip content creators on digital platforms, leveraging a novel dataset with complete tipping history since the feature's launch. We model tipping decisions as a function of users' beliefs about an evolving tipping norm, updated via Bayesian learning from personal and observed tipping signals. Our results show that tip amounts are primarily driven by beliefs about the norm, with personal signals being more informative in shaping those beliefs. Furthermore, while without any community-wide signal, total tip increases, norm remains sticky after mid-term policy changes. Our findings underscore the role of information design in shaping tipping behavior and offer implications for platform strategies around norm visibility.
- Friday April 11
- 4:30 pm TO 5:30 pm
- LOCATION COB 230 OR Zoom Link:
