معرفی
Zenan Chen is an Assistant Professor in the Information Systems department at the Naveen Jindal School of Management, University of Texas at Dallas. He holds a Ph.D. in Information Systems from the University of Minnesota and a B.A. in Economics from CUHK, Shenzhen.
Education:
- Ph.D. in Information Systems, University of Minnesota
- B.A. in Economics, CUHK, Shenzhen
His research focuses on the design and use of emerging technologies, including the impact of technological tools on individual work outcomes, societal effects of AI, and digital platform design. He employs methods like field experiments, causal inference, machine learning, and analytical modeling.
His publications include studies on Large Language Models (LLMs) in creative work and digital platform revenue-sharing strategies. These works explore human-AI collaboration modalities, anchoring effects in ghostwriting, and platform ecosystem coordination.
Scientific Awards:
- INFORMS ISS Nunamaker-Chen Dissertation Award (2nd Runner-up, 2024)
- Best Dissertation Award @ WITS 2023
- Best Paper Awards at ICIS 2022 and WITS 2022
- Carlson School Fellowship 2022
He has founded or contributed to initiatives like IS Jobs (crowdsourced job database), MISQ Insider (student blog), Surge.fm (news aggregator), and campus media projects at CUHK(SZ). As a self-taught full-stack developer, he has built technical tools including ChatGPT Quick Actions for Raycast, Canvas Tools for LMS, and Nosedive (Black Mirror parody website).
