YoungJin Kwon

I will be on the job market 2025-2026 year!

I am an empirical researcher who employs computational methods, such as computer vision, natural language processing, and causal inference on large-scale data, to examine how digital technologies reshape markets. My doctoral work unfolds in two streams: (i) how blockchain-based decentralized markets transform the creator economy and (ii) how generative AI boosts human productivity and creativity.

Blockchain-based Decentralized Asset Market

• Study 1. Carrots, Sticks, and Crashes: The Antecedents and Consequences of Wash Trading in NFT Markets
  • YoungJin Kwon, Alok Gupta, and Teng Ye
  • Job Market Paper, targeting Management Science
• Study 2.From Boom to Bust and Beyond: Developing an NFT Market Index for a Longitudinal Analysis of NFT Collectors and Their Performance
  • YoungJin Kwon, Teng Ye, and Alok Gupta
  • Revise and resubmit at Information Systems Research
• Study 3. Tokenized Access: How NFT Market Empowers Minority Artists
  • YoungJin Kwon, Agnes Yang, and Gautam Ray
  • Under review at MIS Quarterly

GenAI-driven Creativity and Productivity

• Study 4. Large Language Models in Academia: Productivity Boost and Heterogeneous Effects
  • YoungJin Kwon and Agnes Yang
  • Presented at Wharton Annual Business & Generative AI Conference 2025, ICIS 2025, INFORMS Annual Meeting 2025
• Study 5. Perception and Valuation of Human-AI Co-created Art: Computational Aesthetics Approach
  • YoungJin Kwon and Alok Gupta
  • Preliminary analysis completed