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International Conference

25 presentations at WITS, ICIS, INFORMS, AoM, WISE, CIST, AMCIS and more.

International Conference Presentations

2025

  • Human expertAI devil’s advocateBut what if…?challenge · reconsider

    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.

    2025

  • Trading timePricespillover

    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.

    2025

  • Human expertAI devil’s advocateBut what if…?challenge · reconsider

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

    2025

  • False positive rateTrue positive rateHuman + AI ?AIClinician

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

    2025Paper ↗

2024

  • Share of bot tradingReturn₿β = ?

    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.

    2024

  • AI firstAIClinicianDecisionSecond opinionClinicianAIDecisionWhich order is better?

    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.

    2024

  • Share of bot tradingReturn₿β = ?

    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.

    2024Paper ↗

2023

  • ShoppersRandomizeNudgeControlSludgePurchaseReturnRandomized field experiment

    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.

    2023

  • $$$High embeddednessLow embeddednessSocialize less → pay more

    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.

    2023

  • Hours of the dayPricez zexpertnovicebots idle

    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.

    2023

  • ShoppersRandomizeNudgeControlSludgePurchaseReturnRandomized field experiment

    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.

    2023

2022

  • InfluencerRecommendations

    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.

    2022

  • TimeMarket qualityBot entryBlessCurse₿

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

    2022Paper ↗

  • TimeMarket qualityBot entryBlessCurse₿

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

    2022

2021

  • Users × Itemshomogeneous user groupsNeural recommender

    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.

    2021

  • Firm panelsDeep networkDistress risk

    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.

    2021

2020

  • RandomHuman curatorAI recommenderCreative task?

    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.

    2020

  • Firm panelsDeep networkDistress risk

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

    2020

  • Financial newsStock groupsUp / Down

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

    2020

  • RandomHuman curatorAI recommenderCreative task?

    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.

    2020

  • LIVEInfluencer videoBare faceMade-upvsCosmetics sales

    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.

    2020

  • QualityPrice appealTargetCompetitorDecoyAttraction effect

    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.

    2020

2019

  • Product imagesCNN featurescontext123Ranked list

    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.

    2019

  • 123LeaderboardWeeksActive use

    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.

    2019

  • QualityPrice appealTargetCompetitorDecoyAttraction effect

    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].

    2019Best Paper Award