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
    DOI
  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
    DOI
  4. Predicting Firm Market Performance using the Social Media Promoter Score
    Sunghun Chung, Donghyuk Shin, and Jooyoung Park
    Marketing Letters, 2022
    DOI
  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
    DOI

Conferences

  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
    Awarded
  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
    DOI
  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
  8. 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
    DOI
  9. 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
    Awarded DOI
  10. 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
  11. 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
    Awarded
  12. 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
  13. 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
    DOI
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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
    DOI
  22. 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
  23. 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
    DOI
  24. 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
    DOI
  25. 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
  26. 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
    DOI
  27. 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
    DOI