publications

Publications from AIBA Lab in reversed chronological order.

Journals

  1. The 2026 Service Research Priorities: AI-driven Discovery, Interdisciplinary Influence Dynamics, and the ‘Interactive Service Scholarship Incubator’ for Personalized Priorities↗
    Martin Mende, Amy Ostrom, Juneha Baek, Donghyuk Shin, Sanghak Lee, and Maura L. Scott
    Journal of Service Research, 2026
  2. Disinformation Spillover: Uncovering the Ripple Effect of Bot-Assisted Fake Social Engagement on Public Attention↗
    Sanghak Lee, Donghyuk Shin, K. Hazel Kwon, Sang Pil Han, and Seok Kee Lee
    MIS Quarterly, 2024
  3. Learning Outside the Classroom During a Pandemic: Evidence from an Artificial Intelligence-Based Education App↗
    Ga Young Ko, Donghyuk Shin, Seigyoung Auh, Yeonjung Lee, and Sang Pil Han
    Management Science, 2023
  4. Predicting Firm Market Performance using the Social Media Promoter Score↗
    Sunghun Chung, Donghyuk Shin, and Jooyoung Park
    Marketing Letters, 2022
  5. Enhancing Social Media Analysis with Visual Data Analytics: A Deep Learning Approach↗
    Donghyuk Shin, Shu He, Gene Moo Lee, Andrew B. Whinston, Suleyman Cetintas, and Kuang-Chih Lee
    MIS Quarterly, 2020

Conferences

2026

  1. When Persona Simulations Are Informative: Graph-Structured Signals for Pluralistic Opinion Sensing↗
    Taehyeon An, Jaehyeong Park, and Donghyuk Shin
    In Proceedings of the ACM International Conference on Information and Knowledge Management (CIKM), 2026
    arXiv
  2. When the Buyer Is a Machine: Marketing Cues and Customer Relationships in Agentic Commerce
    Suhyeon Lee, Donghyuk Shin, and Sang Pil Han
    In Conference on Information Systems and Technology (CIST), 2026
  3. Monetizing the Crisis: YouTube Super Chat and Political Polarization among Content Creators
    Gaon Kim, Myunghwan Lee, Chunghan Kang, and Donghyuk Shin
    In Conference on Information Systems and Technology (CIST), 2026
  4. The Delegation Shadow: Consumer Welfare Under AI-Agent Mediated Shopping
    Juneha Baek and Ga Young Ko
    In Conference on Information Systems and Technology (CIST), 2026
  5. Declare Your Muse: AI Disclosure, Substitution, and Inequality in the Music Industry
    Jaehyeong Park
    In Conference on Information Systems and Technology (CIST), 2026
  6. MB-DMM: Interpretable Deep Learning for Discovering Multi-Brand Consumer Relationship Dynamics
    Woohyun Park and Donghyuk Shin
    In INFORMS Workshop on Data Science, 2026
  7. Borrowing a Digital Twin: Grounding Individual-Level LLM Personas in a Matched Donor’s Profile
    Myungsu Kwak
    In INFORMS Workshop on Data Science, 2026
  8. How You Ask Shapes What You Get: A Theory-Seeded Measurement of Articulation in Advice-Seeking LLM Conversations
    Juneha Baek, Suhyeon Lee, and Donghyuk Shin
    In Findings of the Association for Computational Linguistics: EMNLP, 2026
    arXiv
  9. LLM Pedagogical Behavior in AI Tutoring Interactions
    Suhyeon Lee, Juneha Baek, Jaehyeong Park, and Donghyuk Shin
    In Findings of the Association for Computational Linguistics: EMNLP, 2026
    arXiv

2025

  1. GPTs are Just GPTs: Misinterpretation of LLM Simulation in Social Science Evidenced by PLS-SEM
    Sunwoong Kim, Jongho Jeong, Jin Soo Han, and Donghyuk Shin
    In Workshop on Information Technologies and Systems (WITS), 2025
  2. The Cognitive Foundry: A Framework for Externalizing, Evaluating, and Sharing Mental Models in Business Education
    Taehyeon An, Juwon Hong, Donghyuk Shin, Seigyoung Auh, and Sang Pil Han
    In Workshop on Information Technologies and Systems (WITS), 2025
  3. Regulating AI-Generated Content: When Do Restrictions Spark or Stifle Community Dynamics?
    Jane Shin, Suhyeon Lee, and Donghyuk Shin
    In Workshop on Information Systems and Economics (WISE), 2025
    🏆 Best Student Paper Award Nominee
  4. PlaceSim: An LLM-based Interactive Platform for Human Behavior Simulation in Physical Facilities↗
    Suhyeon Lee, Youngjun Yu, Donghyuk Shin, and Rita Singh
    In Proceedings of the ACM International Conference on Information and Knowledge Management (CIKM), 2025
  5. Unpacking the Impact of AI Coding Assistants on Software Products: Evidence from Steam Indie Games
    Youngjun Yu and Donghyuk Shin
    In Conference on Information Systems and Technology (CIST), 2025
  6. GPTs are Just GPTs: Misinterpretation of LLM Simulation in Social Science Evidenced by PLS-SEM
    Sunwoong Kim, Jongho Jeong, Jin Soo Han, and Donghyuk Shin
    In Conference on Information Systems and Technology (CIST), 2025
  7. LLM-Mirror: A Generated-Persona Approach for Survey Pre-Testing
    Sunwoong Kim, Jongho Jeong, Jin Soo Han, and Donghyuk Shin
    In AAAI Conference on Artificial Intelligence—Workshop on Economics of Modern ML: Markets, Incentives, and Generative AI, 2025
    arXiv

2024

  1. When Does Text Boost Images: An Empirical Investigation of the Dynamics of Information↗
    Joonhwae Park, Daegon Cho, and Donghyuk Shin
    In International Conference on Information Systems (ICIS) Proceedings, 2024
  2. Threats or Opportunities? Enhancing Business Performance in the Era of Generative AI↗
    Victor Lee, Julian Lehmann, Heewon Chae, Donghyuk Shin, Seigyoung Auh, and Sang Pil Han
    In Academy of Management (AOM) Proceedings, 2024
    🏆 Best Division Paper and Dexter Award Nominee (CTO Division)
  3. When Does Text Boost Images: An Empirical Investigation of the Dynamics of Information
    Joonhwae Park, Daegon Cho, and Donghyuk Shin
    In Conference on Information Systems and Technology (CIST), 2024

2023

  1. Battle of the AIs: The Impact of Generative Language Models on AI Services
    Seung Jong Lee, Donghyuk Shin, and Sang Pil Han
    In Conference on Information Systems and Technology (CIST), 2023
    🏆 Best Student Paper Award Nominee

2022

  1. Graph Representation Learning for Reciprocal Recommendation in IT-enabled Social Networks: Social Relations Model Approach
    Buomsoo Kim, Kyuhan Lee, Donghyuk Shin, Sang Pil Han, and Sudha Ram
    In Workshop on Information Technologies and Systems (WITS), 2022
  2. Achieving the Double Bottom Line with Artificial Intelligence by Addressing Inequity: A Global Comparative Analysis of an Educational Technology Firm↗
    Dahae Jeong, Donghyuk Shin, Seigyoung Auh, and Sang Pil Han
    In International Conference on Information Systems (ICIS) Proceedings, 2022
  3. Robots Serve Humans? Understanding the Economic and Societal Impacts of AI Robots in the Service Industry
    Myunghwan Lee, Gene Moo Lee, Donghyuk Shin, and Sang Pil Han
    In INFORMS Workshop on Data Science, 2022
  4. Graph Representation Learning for Reciprocal Recommendation in IT-enabled Social Networks: Social Relations Model Approach
    Buomsoo Kim, Kyuhan Lee, Donghyuk Shin, Sang Pil Han, and Sudha Ram
    In INFORMS Workshop on Data Science, 2022

2021

  1. Impact of COVID-19 Crisis on Social E-Commerce: An Empirical Analysis of E-commerce Consumer Behavior During the Pandemic
    Yuan Zhang, Young Kwark, Yining Wang, and Donghyuk Shin
    In Conference on Information Systems and Technology (CIST), 2021

2020

  1. Robots Serve Humans: Does AI Robot Adoption Enhance Operational Efficiency and Customer Experience?
    Myunghwan Lee, Gene Moo Lee, Donghyuk Shin, and Sang Pil Han
    In Workshop on Information Technologies and Systems (WITS), 2020
  2. Targeting Pre-Roll Ads using Video Analytics
    Sangyong Park, Gene Moo Lee, Donghyuk Shin, and Sang Pil Han
    In Workshop on Information Technologies and Systems (WITS), 2020

2017

  1. Customer Attitude from Social Media, Customer Satisfaction Index, and Firm Value
    Sunghun Chung, Donghyuk Shin, Animesh Animesh, and Kunsoo Han
    In Conference on Information Systems and Technology (CIST), 2017

2016

  1. Analyzing Content and Customer Engagement in Social Media with Deep Learning
    Donghyuk Shin, Shu He, Gene Moo Lee, and Andrew B. Whinston
    In Conference on Information Systems and Technology (CIST), 2016
  2. Sharing Behavior in Online Social Media: An Empirical Analysis with Deep Learning↗
    Donghyuk Shin, Shu He, Gene Moo Lee, and Andrew B. Whinston
    In Proceedings of the Workshop on e-Business (WeB), 2016

2015

  1. Message or Messenger: An Empirical Analysis on Tumblr Reblogging Behavior
    Donghyuk Shin, Shu He, Gene Moo Lee, and Andrew B. Whinston
    In Workshop on Information Technologies and Systems (WITS), 2015
  2. Tumblr Blog Recommendation with Boosted Inductive Matrix Completion↗
    Donghyuk Shin, Suleyman Cetintas, Kuang-Chih Lee, and Inderjit S. Dhillon
    In Proceedings of the ACM International Conference on Information and Knowledge Management (CIKM), 2015

2014

  1. Multi-scale Spectral Decomposition of Massive Graphs↗
    Si Si, Donghyuk Shin, Inderjit S. Dhillon, and Beresford N. Parlett
    In Proceedings of the Conference on Neural Information Processing Systems (NeurIPS), 2014
  2. Recommending Tumblr Blogs to Follow with Inductive Matrix Completion
    Donghyuk Shin, Suleyman Cetintas, and Kuang-Chih Lee
    In Poster Proceedings of the ACM Conference on Recommender Systems (RecSys), 2014

2013

  1. Which App Will You Use Next? Collaborative Filtering with Interactional Context↗
    Nagarajan Natarajan, Donghyuk Shin, and Inderjit S. Dhillon
    In Proceedings of the ACM Conference on Recommender Systems (RecSys), 2013

2012

  1. Multi-scale Link Prediction↗
    Donghyuk Shin, Si Si, and Inderjit S. Dhillon
    In Proceedings of the ACM International Conference on Information and Knowledge Management (CIKM), 2012