AIBA Lab

AI & Business Analytics Lab @ KAIST College of Business

Welcome to the AI & Business Analytics (AIBA) Lab at KAIST College of Business (School of Management Engineering), led by Associate Professor Donghyuk Shin.

We combine AI and business analytics to empirically analyze the economic and social value of artificial intelligence. Our research lies at the intersection of artificial intelligence and information systems, covering diverse business domains including digital platforms, online communities, and technology-driven services. Methodologically, we employ machine learning, econometric analysis, and randomized field experiments.

Research Areas

Economics of AI/IT

  • Understanding the economic and societal impact of AI and IT technologies
  • Topics: causal inference, field experiments, platform economics

AI/ML Applications

  • Developing and applying AI/ML methods to solve business problems
  • Topics: LLM simulation, generative AI, human-AI interaction

Digital Platforms

  • Analyzing platform ecosystems, user behavior, and content dynamics
  • Topics: misinformation, content moderation, social media

News

Mar 16, 2026 Welcome to AIBA Lab's new website! 🎉

Selected Publications

  1. CIKM
    PlaceSim: An LLM-based Interactive Platform for Human Behavior Simulation in Physical Facilities
    Suhyeon Lee, Youngjun Yu, Donghyuk Shin, Rahul Singh
    Proceedings of the 34th ACM International Conference on Information and Knowledge Management (CIKM), 2025
  2. MISQ
    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, Seok Kee Lee
    MIS Quarterly, 2024
  3. MS
    Learning Outside the Classroom During a Pandemic: Evidence from an Artificial Intelligence-Based Education App
    Ga Young Ko, Donghyuk Shin, Seigyoung Auh, Yeonjung Lee, Sang Pil Han
    Management Science, 2023
  4. ML
    Predicting Firm Market Performance using the Social Media Promoter Score
    Sunghun Chung, Donghyuk Shin, Jooyoung Park
    Marketing Letters, 2022
  5. MISQ
    Enhancing Social Media Analysis with Visual Data Analytics: A Deep Learning Approach
    Donghyuk Shin, Shu He, Gene Moo Lee, Andrew B Whinston, Suleyman Cetintas, Kuang-Chih Lee
    MIS Quarterly, 2020