Online Research Seminar on Digital Businesses
Hosted by the Digital Business Institute at the Questrom School of Business, this virtual seminar series is focused on various challenges relevant to digital businesses, particularly platforms and data-enabled businesses. We hope to attract a wide variety of methodologies (theoretical and empirical) from many fields: information systems, strategy, law, marketing, economics, etc. PhD students are welcome and all scholars are welcome to present early-stage work. The Online Research Seminar on Digital Businesses meets on the third Monday of every month at 8pm EST (5pm PST)._______________________________
Seminar guidelines
The speaker will present for 40 mins, 5 mins for the discussant (no slides), and we will have 15 mins for Q&A.
Each seminar will be moderated, and participants can post their questions to the chat room on Zoom. Questions will usually be channeled through the moderator. Participants (other than the speaker and moderator) should leave their mic off unless asked by the moderator to speak.
To propose a talk, please contact one of the co-chairs of the Scientific Committee below:Andrei Hagiu (Boston University Questrom School of Business)
Daniel Sokol (University of Southern California Gould School of Law)
Marshall Van Alstyne (Boston University Questrom School of Business)
To obtain a link to a seminar and to be put on our mailing list, please enter the details in the form below. All fields are required
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Upcoming Talks –
Combining Human Expertise with Artificial Intelligence: Experimental Evidence from Radiology∗
Monday, 16 December 2024, from 8 pm to 9 pm EST (5 – 6pm PST)
Speaker: Alex Moehring, Purdue University, Mitch Daniels School of Business
Discussant: Meizi Zhou, Boston University Questrom School of Business
Moderator: Tesary Lin, Boston University Questrom School of Business
Open(?) AI
Monday, 20 January 2025, from 8 pm to 9 pm EST (5 – 6pm PST)
Speaker: Matthew Leisten, Federal Trade Commission
Discussant: Joshua Gans, University of Toronto, Rotman School of Management
Moderator: Andy Wu, Harvard Business School
Scientific Committee –
Co-chairs:
Andrei Hagiu (Boston University Questrom School of Business)
Daniel Sokol (University of Southern California Gould School of Law)
Marshall Van Alstyne (Boston University Questrom School of Business)
Members:
Hemant Bhargava (UC Davis Graduate School of Management),
Kevin Boudreau (D’Amore McKim School of Business)
Yao Cui (Cornell Johnson Graduate School of Management),
Grace Gu (University of Southern California Marshall School of Business),
Jacqueline Lane (Harvard Business School),
Tesary Lin (Boston University Questrom School of Business),
Meng Liu (Washington University in Saint Louis Olin Business School),
Mariia Petryk (George Mason University)
Daniela Saban (Stanford Graduate School of Business),
Chengsi Wang (Monash University),
Julian Wright (National University of Singapore),
Andy Wu (Harvard Business School),
DJ Wu (Georgia Tech Scheller College of Business),
Bobby Zhou (University of Maryland Smith School of Business)
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Past Events –
Exclusive Contracts in the Video Streaming Market
ATT vs. Personalized Ads: User’s Data Sharing Choices Under Apple’s Divergent Consent Strategies
Theory Is All You Need: AI, Human Cognition, and Causal Reasoning
Consumer Profiling via Information Design
Leveraging the Experience: Exploration and Exploitation in Gig Worker Learning Process
Is Comparison the Thief of Joy? Antecedents and Consequences of Getting Compared by Information Intermediaries
Determinants of Social Influence: How Social Networks and Traits affect Social Value
The Role of Advertisers and Platforms in Monetizing Misinformation: Descriptive and Experimental Evidence
If platforms are exploiting producers, is platform competition the solution?
The Hidden Costs of Fairness in Platform Markets
The Crowdless Future? How Generative AI Is Shaping the Future of Human Crowdsourcing
The Consequences of Generative AI for UGC and Online Community Engagement
Data Tracking under Competition
Self-preferencing and Search Neutrality in Online Retail Platforms
No Seminar
Optimal Discoverability On Platforms
The Effects of Diversity in Algorithmic Recommendations on Digital Content Consumption: A Field Experiment
Self-Preferencing at Amazon: Evidence from Search Rankings
Capacity Expansion in Service Platforms: Ownership, Commitment, and Flexibility
Human-Algorithm Interactions: Evidence from Zillow.com
Implications of Revenue Models and Technology for Content Moderation Strategies
Platform Governance and Worker Mistreatment: Evidence from Lab-in-the-Field Experiments in Singapore
Analyzing Platform Regulation: A Model of Ecosystem Scale and Co-Dependence
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