Yan Huang
16 catalog papers. Identity-linked publications and additional name matches are distinguished below.
ORCID: 0000-0002-2262-1540
Tepper School of Business, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213
Publications
- Algorithmic Lending, Competition, and Strategic Provision of Preapproval Tools — Marketing Science 2026
- Human–Algorithmic Bias: Source, Evolution, and Impact — Management Science 2026
- Operational Decision Making Around Movie Piracy and Theatrical Release: A Structural Model of Movie Piracy vs. Legal (in-Theater) Consumption — Manufacturing & Service Operations Management 2026
- Personalization, Consumer Search, and Algorithmic Pricing — Marketing Science 2025
- Unequal Impact of Zestimate on the Housing Market — Marketing Science 2025
- Distributed Stochastic Bilevel Optimization: Improved Complexity and Heterogeneity Analysis — Journal of Machine Learning Research 2025 (name-matched, not ORCID-linked)
- Algorithmic Transparency with Strategic Users — Management Science 2023
- Social Influence, Competition, and Free Riding: Examining Seller Interactions Within an Online Social Network — Management Information Systems Quarterly 2022 (name-matched, not ORCID-linked)
- The Role of Feedback in Dynamic Crowdsourcing Contests: A Structural Empirical Analysis — Management Science 2022
- Crowds, Lending, Machine, and Bias — Information Systems Research 2021
- The Role of Problem Specification in Crowdsourcing Contests for Design Problems: A Theoretical and Empirical Analysis — Manufacturing & Service Operations Management 2021
- Data-Driven Promotion Planning for Paid Mobile Applications — Information Systems Research 2020
- “Level Up”: Leveraging Skill and Engagement to Maximize Player Game-Play in Online Video Games — Information Systems Research 2019
- A Structural Model of Employee Behavioral Dynamics in Enterprise Social Media — Management Science 2015
- An Empirical Analysis of Digital Music Bundling Strategies — Management Science 2014
- Crowdsourcing New Product Ideas Under Consumer Learning — Management Science 2014