International Conference

The Devil’s Advocate: When AI Challenges Human Expertise. with Kanghyun Cho and Park, Jin-Woo, Workshop on Information Technologies and Systems (WITS), 2025, Knoxville, TN, US.

Algorithmic Externalities: How Trading Bots Reshape Human Traders’ Performance in Cryptocurrency Markets. with Kanghyun Cho, Jaehwuen Jung, and Jason Thatcher, Conference on Information Systems and Technology (CIST), 2025, Atlanta, GA, US.

The Devil’s Advocate: When AI Challenges Human Expertise. with Kanghyun Cho and Park, Jin-Woo, INFORMS Annual Meeting, 2025, Atlanta, GA, US.

Optimizing Human-AI Collaboration in Medical Diagnostics. with Kanghyun Cho, In Academy Of Management (AoM) Annual Meeting, 2025, Copenhagen, Denmark.

Beyond Automation: Analyzing How Trading Bots Influence Cryptocurrency Returns, with Kanghyun Cho, Jaehwuen Jung, and Jason Thatcher, Workshop on Information Systems and Economics (WISE) 2024.

First Response or Second Opinion? Evaluating the Impact of Sequential AI-Integrated Workflows on Clinical Decision-Making, with Kanghyun Cho and Park, Jin-Woo, Conference on Information Systems and Technology (CIST) 2024.

Beyond automation: Unpacking the role of trading bots in shaping online cryptocurrency return, with Kanghyun Cho and Jason Thatcher, Academy of Management Proceedings(AOM) 2024.

The Effects of Sludges and Nudges on Product Purchases and Returns in Online Retailing: Evidence from a Randomized Field Experiment, with Anindya Ghose, Wonseok Oh, and Heeseung Lee, Workshop on Information Systems and Economics (WISE ) 2023.

Socialize Less Pay More: The Link Between Virtual Network Embeddedness and User Contributions, with Kanghyun Cho, Americas Conference on Information Systems (AMCIS), Panama City, Panama, 2023.

Who Gets the Money When the Bots Sleep: Investigating the Role of Expertise in the Cryptocurrency Market, with Kanghyun Cho and Jason Thatcher, Statistical Conference in E-Commerce Research (SCECR) 2023.

The Effects of Sludges and Nudges on Product Purchases and Returns in Online Retailing: Evidence from a Randomized Field Experiment, with Anindya Ghose, Wonseok Oh, and Heeseung Lee, Statistical Conference in E-Commerce Research (SCECR) 2023.

Designing Recommender Systems in the Presence of Social Influencers, with Angela Choi, and Chad Ho, Conference on Information Systems and Technology(CIST 2022), October, 2022.

Bless or Curse: Impact of Algorithmic Trading Bots Invasion on the Cryptocurrency Market, with Kanghyun Cho, International Conference on Information Systems (ICIS) 2022.

Bless or Curse: Impact of Algorithmic Trading Bots Invasion on the Cryptocurrency Market, with Kanghyun Cho, Statistical Conference in E-Commerce Research (SCECR) 2022.

Neural recommender system considering user homogeneity, with Nohyoon Seong, Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD) Machine Learning for Consumers and Markets Workshop [KDD] 2021.

Deep learning for financial distress prediction considering individual effect and complex system, with Nohyoon Seong, Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD) Machine Learning in Finance Workshop [KDD] 2021.

Better than Humans? AI challenge in Creative Tasks: Randomized Field Experiment on AI Recommender Systems, with Jooyoung Kim, and Nohyoon Seong, 2020 INFORMS Data Science Workshop, November, 2020.

Deep learning for financial distress prediction considering individual effect and complex system, with Nohyoon Seong, 2020 INFORMS Data Science Workshop, November, 2020.

Predicting stock movements based on financial news with systematic group identification, with Nohyoon Seong, 2020 INFORMS Data Science Workshop, November, 2020.

Better than Humans? AI challenge in Creative Tasks: Randomized Field Experiment on AI Recommender Systems, with Jooyoung Kim, and Nohyoon Seong, Conference on Information Systems and Technology(CIST 2020), November, 2020.

Straight-up or Made-up? The Impact of Bare-Face Exposure on Cosmetics Sales in Influencer Marketing, with Angela Choi, and Chad Ho, Conference on Information Systems and Technology(CIST 2020), November, 2020.

A "Falsely-Framed" Choice: A Randomized Field Experiment on the Attraction Effects in Recommender Systems, with Hyelin Oh, Wonseok Oh, and Nohyoon Seong, Conference on Information Systems and Technology(CIST 2020), November, 2020.

Context-Dependent Preferences and Image-Based Deep-Learning Recommendations, with Wonseok Oh, and Heeseung Lee, Workshop on Information Systems and Economics (WISE 2019), Munich, December, 2019.

The Effects of User Competitions on Sustained Use of M-health Application, with Junetae Kim, and Kanghyun Cho, International Conference on Health Data and Information Services, December, 2019.

A "Falsely-Framed" Choice: A Randomized Field Experiment on the Attraction Effects in Recommender Systems, with Wonseok Oh, Nohyoon Seong, and Hyelin Oh, Information Systems Review Society, November, 2019. [Best Paper Award].