Brian Rongqing Han

Assistant Professor in Business Administration [CV]

Gies College of Business

University of Illinois at Urbana-Champaign

Email: brianhan [at] illinois [dot] edu

Tel: +1 818 216 4580, +86 136 1173 2256

Bio

Brian is an Assistant Professor in IOSA (Information Systems/ Operations/ Supply Chain/ Analytics) area at Gies College of Business, University of Illinois, Urbana Champaign. His research focuses on designing large-scale field experiments and developing data-driven optimization tools to explore innovative business models and link data to decision-making. His recent work investigates how e-commerce platforms can leverage the logistics infrastructure as an offline platform for commercial activities such as promotion and advertisement.

Brian obtained his Ph.D. in Data Sciences and Operations from Marshall School of Business, University of Southern California, and a B.A. in Economics from Shanghai University of Finance and Economics. His work has been recognized by several best paper awards, such as the winner of the best student paper award at the Workshop on Information Systems and Economics (WISE) and finalist of INFORMS Pierskalla best paper award. Back in 2018, he also won first place in USC Marshall Ph.D. Teaching Award.


About Me

Welcome! I am an Assistant Professor in Business Administration at UIUC Gies College of Business. I graduated with my Ph.D. in Data Sciences and Operations from USC Marshall School of Business in 2020. My research focuses on designing large-scale field experiments and developing data-driven optimization to explore innovative business models and link data to decision-making. For example, my doctoral thesis addresses how e-commerce platforms can leverage the logistics infrastructure as an offline platform for commercial activities such as promotion and advertisement.

Research


1. COVID-19 and E-commerce Operations: Evidence from Alibaba

Major Revision, Manufacturing & Service Operations Management

Han, B. R., Sun, T., Chu, L. Y., & Wu, L.

[SSRN]

    • Accepted, CIST 2020, WISE 2020


2. Commercializing the Package Flow: Cross-sampling Physical Products Through E-commerce Warehouses

Major Revision, Management Science

Han, B. R., Chu, L. Y., Sun, T., & Wu, L.

[SSRN]

    • Winner, WISE Best Student Paper Award 2019, previously titled "Cross-Sampling Physical Products Through E-Commerce Warehouses: Experimental Evidence from Alibaba"

    • Accepted, ICIS Conference Proceedings 2020


3. Connecting Customers and Merchants Offline: Experimental Evidence from the Commercialization of Last-Mile Stations at Alibaba

Major Revision, MIS Quarterly

Han, B. R., Sun, T., Chu, L. Y., & Wu, L.

[SSRN]

    • Accepted, ICIS Conference Proceedings 2019


4. Maximizing Intervention Effectiveness

Gupta, V., Han, B. R., Kim, S. H., & Paek, H.

Management Science (2020)

[LINK]

    • Finalist, INFORMS the Pierskalla Award 2018

    • Finalist, POMS CHOM Best Paper Competition 2018

    • Accepted, M&SOM Healthcare SIG 2018

Teaching


Marshall School of Business, University of Southern California, CA

Instructor, BUAD 311 Operations Management, Undergraduate, Fall 2017

    • First Place, Marshall Ph.D. Teaching Award

TA, BUAD 311 Operations Management, Undergraduate, Spring 2017


Data Application Lab, CA

Part-Time Instructor, Online Courses in Business Analytics, 2017-2020

    • Designed and taught several courses including (but not limited to) R, SQL, Statistics 101, Classification, Time Series, Supply Chain Management, and Healthcare Analytics.

Awards and Honors


Winner, WISE Best Student Paper Award, 2019

Finalist, INFORMS Pierskalla Award, 2018

First Place, USC Marshall Ph.D. Teaching Award, 2018

Finalist, POMS CHOM Best Paper Competition, 2018

Graduate National Scholarship of China, 2013

Undergraduate Third Prize Scholarship of China, 2010

Undergraduate National Scholarship of China, 2009