Han, Miaozhe

Research Interest

Topics: Economics of IS, Artificial Intelligence, Network Sciences, Digitial Platform

Methodologies: Causal Inference, Field Experiment, Machine Learning

• Publications
  • Ben Charoenwong, Miaozhe Han, and Jing Wu, (2022), Trade and Foreign Economic Policy Uncertainty in Supply Chain Networks: Who Comes Home?, Manufacturing & Service Operations Management.Media Coverage: Yahoo Finance (19 Feb 2020); Reuters (20 Feb 2020); The Economist (16 Dec 2020)
  • Xingyu Li, Miaozhe Han, Geoffrey L Cohen, and Hazel Rose Markus, (2021), Passion Matters but not Equally Everywhere: Predicting Achievement from Interest, Enjoyment, and Efficacy in 59 Societies, Proceedings of the National Academy of Sciences, 118(11), e2016964118.
  • Xingyu Li, Difan Song, Miaozhe Han, Yu Zhang, and Rene F Kizilcec, (2021), On the limits of algorithmic prediction across the globe, arXiv preprint arXiv:2103.15212.

• Papers under Revision
  • Miaozhe Han, Hongchuan Shen, Jing Wu, and Xiaoquan (Michael) Zhang, Artificial Intelligence and Firm Resilience: Evidence from Firm Performance under Disaster Shocks, major revision at Information System Research.
  • Miaozhe Han, Hongchuan Shen, Sihan Zhai, and Xiaoquan (Michael) Zhang, An Empirical Study of Algorithm-Induced Online Information Misallocation, reject and resubmit at Management Science.

• Working Papers
  • Tianyi Li, Miaozhe Han, and Jeremy Yang, Connecting Communities: Semi-supervised Classification On Disconnected and Ill-labeled Graphs, draft available upon request.
  • Miaozhe Han, Siqi Pei, Jie Song, Xiaoquan (Michael) Zhang, and Feng Zhu, The Blessing of High Price: A Field Experiment on E-Commerce Platform, draft available upon request.
  • Miaozhe Han, Mingi Song, Gun Wonng Lee, Keongtae Kim, The Impact of Live-Streaming on Business Performance: Evidence from an E-Commerce Platform, draft available upon request.

• Conference Presentations (* as presenter)
  • Han, M.*, Shen, H., Wu, J., & Zhang, X., Artificial Intelligence and Firm Resilience: Evidence from Firm Performance under Disaster Shocks, Statistical Challenges in Electronic Commerce Research (SCECR), Jun 2023.
  • Han, M.*, Song, J., Pei, S., Zhang, X., & Zhu, F., The Blessing of High Price: A Field Experiment on E-Commerce Platform, Statistical Challenges in Electronic Commerce Research (SCECR), Jun 2023.
  • Li, T., Han, M.*, & Yang, J., Mitigating the Limited Labels Problem: Graph Connectivity Exploitation and Augmentation, Statistical Challenges in Electronic Commerce Research (SCECR), Jun 2023.
  • Han, M.*, Shen, H., Zhai, S., & Zhang, X., An Empirical Study of Algorithm-Induced Online Information Misallocation, 2022 Conference on Digital Experimentation @ MIT (CoDE@MIT), Oct 2022.
  • Han, M.*, Song, J., Pei, S., Zhang, X., & Zhu, F., The Blessing of High Price: A Field Experiment on E-Commerce Platform, 2022 Conference on Digital Experimentation @ MIT (CoDE@MIT), Oct 2022.
  • Han, M.*, Shen, H., Wu, J., & Zhang, X., Artificial Intelligence and Firm Resilience: Evidence from Firm Performance under Disaster Shocks, Conference on Information Systems and Technology (CIST), Oct 2022.
  • Han, M.*, Shen, H., Wu, J., & Zhang, X., Artificial Intelligence and Firm Resilience: Evidence from Firm Performance under Disaster Shocks, INFORMS Annual Meeting, Oct 2022.
  • Han, M., Song, J., Pei, S., Zhang, X., & Zhu, F., The Blessing of High Price: A Field Experiment on E-Commerce Platform, Conference on Information Systems and Technology (CIST), Oct 2022.
  • Han, M., Song, J., Pei, S., Zhang, X., & Zhu, F., The Blessing of High Price: A Field Experiment on E-Commerce Platform, draft available upon request, INFORMS Annual Meeting, Oct 2022.
  • Ying, H., Han, M., & Kim, K., The Role of Expertise in NFT Markets, INFORMS Annual Meeting, Oct 2022.
  • Li, T., Han, M.*, & Yang, J., Mitigating the Limited Labels Problem: Graph Connectivity Exploitation and Augmentation, INFORMS Annual Meeting Poster Session, Oct 2022.
  • Han, M.*, Shen, H., Wu, J., & Zhang, X., Artificial Intelligence and Firm Resilience: Evidence from Firm Performance under Disaster Shocks, CSWIM, Aug 2022, Best paper award.
  • Han, M.*, Shen, H., Zhai, S., & Zhang, X., Leave the Poor Poorer: An Empirical Study of Online Information Misallocation, Advances with Field Experiment (AFE), The University of Chicago, Jun 2022.
  • Charoenwong, B., Han, M.*, & Wu, J., Not coming home: Trade and economic policy uncertainty in American supply chain networks, The M&SOM SIG Meeting (iFORM), Online, Jun 2021.
  • Han, M.*, & Zhang, X., The Impact of Government Regulation on Sharing Platform Growth: A Channel of Supplier Behavior Change, International Conference on Information Systems (ICIS), Nov 2020.

• Honors & Awards
  • CSWIM Best Paper Award, 2022
  • Research Postgraduate Student Grants for Overseas Academic Activities, CUHK, 2022
  • Chinese Scholarships Council (CSC) for International Exchange Program, 2017
  • National Scholarship, 2017
  • Singapore Technology Scholarship, 2016