Substantive Areas: Human-Algorithm Collaboration; Digital Art; Online Reviews; Fintech; Economics of AI/ML
Methods: Applied Econometrics; Machine Learning; Experiments
Yingxin Zhou, Ling Xue, and Arun Rai, “How Do Audiences Respond to Creators’ Adoption of Generative AI? Insights from the Digital Artwork Market”
Presented at Annual Production and Operations Management Society (POMS) Conference, May 2025, Atlanta, GA
Presented at Conference on Information Systems and Technology (CIST), Oct 2024, Seattle, WA
Yingxin Zhou, Keongtae Kim, and Ling Xue, “How Does Interpersonal Surveillance Affect Human Reviewing Behavior in the Presence of Algorithm-Generated Ratings? Evidence from Initial Coin Offerings (ICOs)”
Nominated for the Hawaii International Conference on System Sciences (HICSS) Best Paper Award, Jan 2024
Nominated for the Institute for Operations Research and the Management Sciences (INFORMS) ISS Cluster Best Paper Award, Oct 2023
Yingxin Zhou*, Jingbo Hou*, Yi Gao*, and Pei-yu Chen*, “From Labels to Behaviors: Temporal and Spillover Effects of Crowdsourced Fact-Checking”
Nominated for the Workshop on Information Systems and Economics (WISE) Best Paper Award, Dec 2023
Presented at the Hawaii International Conference on System Sciences (HICSS), Jan 2025, Waikoloa Village, HI
Presented at Conference on Information Systems and Technology (CIST), Oct 2024, Seattle, WA
Jingbo Hou, Yingxin Zhou, and Pei-yu Chen, “From Notes to Bots: How Generative AI Impacts Human-Led Fact-Checking”
To be presented at the Hawaii International Conference on System Sciences (HICSS), Jan 2026, Maui, HI
Amin Sabzehzar*, Yingxin Zhou*, Jingbo Hou*, and Likoebe M. Maruping, “Digital Paths to Prosocial Lending: The Impact of Social Connectedness and Digital Inclusion—Evidence from Facebook”
Presented at International Conference on Information Systems (ICIS), Dec 2023, Hyderabad, India (Virtual)
Presented at Conference on Information Systems and Technology (CIST), Oct 2023, Phoenix, AZ
Presented at INFORMS Annual Meeting, Oct 2023, Phoenix, AZ
Yingxin Zhou, Keongtae Kim, and David Ahlstrom, “How Regulations Affect Startup Locations: Evidence from Initial Coin Offerings”
Nominated for the International Conference on Information Systems (ICIS) Kauffman Best Paper Award, Dec 2021
Nominated for the International Conference on Information Systems (ICIS) Kauffman Best Student Paper Award, Dec 2021