Brian Han

Assistant Professor of Business Administration

Contact

385 Wohlers Hall

1206 S Sixth St

Champaign, IL 61820

217-244-8710

brianhan@illinois.edu

Listings

Educational Background

Ph.D., Business Administration (Data Sciences and Operations), Marshall School of Business, University of Southern California, 2020
B.A., Economics, Shanghai University of Finance and Economics, 2012

Positions Held

Assistant Professor of Business Administration, University of Illinois at Urbana-Champaign, 2020 to present

Recent Publications

Han, B., Chu, L., Sun, T., & Wu, L. Forthcoming. Commercializing the Package Flow: Cross-sampling Physical Products Through E-commerce Warehouses. Management Science, 1.
Han, B., Chu, L., Sun, T., & Wu, L. Forthcoming. Commercializing the Package Flow: Cross-sampling Physical Products Through E-commerce Warehouses. Management Science, Elsevier BV. link >

Other Publications

Articles

Han, B., Sun, T., Chu, L., & Wu, L. (2024). Connecting Customers and Merchants Offline: Experimental Evidence from the Commercialization of Last-mile Stations at Alibaba. MIS Quarterly, MIS Quarterly, 48 (3), 1157-1192. link >
Han, B., Sun, T., Chu, L., & Wu, L. (2021). COVID-19 and E-commerce Operations: Evidence from Alibaba. Manufacturing & Service Operations Management.
Gupta, V., Han, B., Kim, S., & Paek, H. (2020). Maximizing Intervention Effectiveness. Management Science, 66 (12), 5576-5598. link >

Conference Proceedings

Ma, X., Han, B., Lee, D., & Kwon, J. Forthcoming. Monologue vs. Dialogue: A Field Experiment on AI-Enabled Telemarketing. International Conference on Information Systems.
Han, B., Li, M., Zhang, Y., & Wu, L. (2023). Value of Autonomous Last-mile Delivery: Evidence from Alibaba. International Conference on Information Systems.
Han, B., Sun, T., Chu, L., & Wu, L. (2021). COVID-19 and E-commerce Operations: Evidence from Alibaba. International Conference on Information Systems.
Han, B., Wu, L., Sun, T., Chu, L., & Xu, Y. (2019). Connecting Customers and Merchants Offline: Experimental Evidence from the Commercialization of Last-mile Stations in Alibaba. ( vol. Economics and IS, pp. 19). International Conference on Information Systems.

Presentations

Han, B. (2024). Value of Autonomous Last-mile Delivery: Evidence from Alibaba. Workshop on Information Systems and Economics (WISE.
Ma, X., Han, B., Lee, D., & Kwon, J. (2024). Monologue vs. Dialogue: A Field Experiment on AI-Enabled Telemarketing. Conference on Information Systems and Technology (CIST.
Ma, X., Han, B., Lee, D., & Kwon, J. (2024). Monologue vs. Dialogue: A Field Experiment on AI-Enabled Telemarketing. International Conference on Information Systems (ICIS.
Han, B. (2024). A Simple Solution to Improving Human Supervision of Algorithms: Evidence from Smart Vending. Conference on Digital Experimentation (CODE) @ MIT.
Han, B. (2024). A Simple Solution to Improving Human Supervision of Algorithms: Evidence from Smart Vending. Conference on Information Systems and Technology (CIST.
Han, B. (2024). A Simple Solution to Improving Human Supervision of Algorithms: Evidence from Smart Vending. INFROMS Annual Conference.
Han, B. (2024). A Simple Solution to Improving Human Supervision of Algorithms: Evidence from Smart Vending. International Conference Chinese Scholars Association for Management Science and Engineering (CSAMSE.
Han, B. (2023). Value of Autonomous Last-mile Delivery: Evidence from Alibaba. International Conference on Information Systems (ICIS.
Han, B. (2023). Value of Autonomous Last-mile Delivery: Evidence from Alibaba. Conference on Information Systems and Technology (CIST.
Han, B. (2023). Value of Autonomous Last-mile Delivery: Evidence from Alibaba. INFORMS Annual Conference.
Han, B. (2023). Value of Autonomous Last-mile Delivery: Evidence from Alibaba. International Conference Chinese Scholars Association for Management Science and Engineering (CSAMSE.
Han, B. (2023). Value of Autonomous Last-mile Delivery: Evidence from Alibaba. POMS Conference.
Han, B. (2021). COVID-19 and E-commerce Operations: Evidence from Alibaba. International Conference on Information Systems (ICIS.
Han, B. (2021). COVID-19 and E-commerce Operations: Evidence from Alibaba. INFORMS Annual Conference.
Han, B. (2021). Commercializing the Package Flow: Cross-sampling Physical Products Through E-commerce Warehouses. International Conference Chinese Scholars Association for Management Science and Engineering (CSAMSE.
Han, B. (2021). Commercializing the Package Flow: Cross-sampling Physical Products Through E-commerce Warehouses. POMS Conference.
Han, B. (2021). Connecting Customers and Merchants Offline: Experimental Evidence from the Commercialization of Last-mile Pickup Stations at Alibaba. POMS Conference.
Han, B. (2020). Commercializing the Package Flow: Cross-sampling Physical Products Through E-commerce Warehouses. International Conference on Information Systems (ICIS.
Han, B. (2020). COVID-19 and E-commerce Operations: Evidence from Alibaba. Workshop on Information Systems and Economics (WISE.
Han, B. (2020). Commercializing the Package Flow: Cross-sampling Physical Products Through E-commerce Warehouses. INFORMS Annual Meeting.
Han, B. (2020). COVID-19 and E-commerce Operations: Evidence from Alibaba. Conference on Information Systems and Technology (CIST.
Han, B. (2019). Commercializing the Package Flow: Cross-sampling Physical Products Through E-commerce Warehouses. Workshop on Information Systems and Economics (WISE.
Han, B. (2019). Connecting Customers and Merchants Offline: Experimental Evidence from the Commercialization of Last-mile Pickup Stations at Alibaba. International Conference on Information Systems (ICIS.
Han, B. (2019). Commercializing the Package Flow: Cross-sampling Physical Products Through E-commerce Warehouses. Conference on Digital Experimentation (CODE) @ MIT, MIT.
Han, B. (2019). Connecting Customers and Merchants Offline: Experimental Evidence from the Commercialization of Last-mile Pickup Stations at Alibaba. Conference on Information Systems and Technology (CIST.
Han, B. (2019). Connecting Customers and Merchants Offline: Experimental Evidence from the Commercialization of Last-mile Pickup Stations at Alibaba. INFORMS Annual Meeting.
Han, B. (2019). Connecting Customers and Merchants Offline: Experimental Evidence from the Commercialization of Last-mile Pickup Stations at Alibaba. Statistical Challenges in Electronic Commerce Research (SCECR.
Han, B. (2018). Connecting Customers and Merchants Offline: Experimental Evidence from the Commercialization of Last-mile Pickup Stations at Alibaba. Workshop on Information Systems and Economics (WISE.
Han, B. (2018). Connecting Customers and Merchants Offline: Experimental Evidence from the Commercialization of Last-mile Pickup Stations at Alibaba. Informs Annual Meeting.
Han, B. (2018). Maximizing Intervention Effectiveness. INFORMS Annual Meeting.
Han, B. (2018). Maximizing Intervention Effectiveness. INFORMS Heath Applications Society Meeting.
Han, B. (2018). Connecting Customers and Merchants Offline: Experimental Evidence from the Commercialization of Last-mile Pickup Stations at Alibaba. Conference on Digital Experimentation (CODE) @ MIT, MIT.
Han, B. (2018). Maximizing Intervention Effectiveness. M&SOM Healthcare Special Interest Groups.
Han, B. (2018). Maximizing Intervention Effectiveness. POMS Conference.
Han, B. (2017). Maximizing Intervention Effectiveness. INFORMS Annual Meeting.
Han, B. (2017). Maximizing Intervention Effectiveness. M&SOM Conference.
Han, B. (2016). Maximizing Intervention Effectiveness. INFORMS Annual Meeting.

Honors and Awards

Third Price, Practice Award, Conference of Chinese Scholars Association for Management Science and Engineering (CSAMSE), 2024
Second Price, Practice Award, Conference of Chinese Scholars Association for Management Science and Engineering (CSAMSE), 2022
Third Price, Best Paper Award, Conference of Chinese Scholars Association for Management Science and Engineering (CSAMSE), 2022
Runner-up, Best Doctoral Dissertation Award, The Lazaridis Institute at Wilfrid Laurier University, 2021
Second Place, INFORMS TIMES Best Dissertation Award, INFORMS Technology, Innovation Management & Entrepreneurship Section, 2021

Service

AE, Decision Sciences, 2024 to present
Reviewer, Journal of Operations Management, 2024 to present
Reviewer, Management Science, 2021 to present
Reviewer, Manufacturing and Service Operations Managment, 2021 to present
Reviewer, MIS Quarterly, 2021 to present
Reviewer, Conference on Information Systems and Technology, 2020 to present
Session Chair, International Conference Chinese Scholars Association for Management Science and Engineering (CSAMSE), 2020 to present
Reviewer, Production and Operations Management, 2020 to present
Reviewer, Information Systems Research, 2020 to present
Reviewer, International Conference on Information Systems, 2019 to present
Session Chair, INFORMS, 2018 to present

Teaching Interests

Business Analytics; Information Systems; Operations Management

Research Interests

Methods: field experiment; econometrics; data-driven optimization

Applications: online-offline integration (retailing and logistics); human-AI/Algorithm interaction

Current Courses

Business Analytics II (BADM 211) Builds on the foundation from the Business Analytics I (BADM 210), synthesizes concepts through hands-on application and project-based learning. Focuses on data acquisition, organization, analysis and visualization in a business setting. Expanding on the use of statistics in generating basic inferences to predictive modeling Identify opportunities for improving business decisions using data, conduct relevant analysis of the gathered and cleaned data, and finally, interpret and present analysis outcomes to decision makers. Using statistical tools and software applications to identify business problems, acquire relevant data, and generate analytic solutions using advanced analytics techniques and tools for generating insights. Introduces the students to analyzing, learning, and prediction using advanced analytics techniques and tools for generating business insights. This course will provide a practical introduction to various techniques regarding clustering, text mining, classification and decision trees, and time series analysis. Finally, the course will introduce advanced and emerging topics in predictive analytics.
Intro to Op & Supply Chain Mgt (BADM 275) Operations and Supply Chain Management is about sourcing, producing, and delivering goods and services that meet and exceed customer expectations. In this course, students will be introduced to decision-making frameworks and techniques for effectively and efficiently managing processes through coordinated efforts across different organizations in a supply chain and across multiple areas within an organization, such as: consumer analytics, research and development, finance, engineering, marketing, human resource management, sourcing, information systems, logistics, and accounting.
Operations Management (BADM 275) Operations and Supply Chain Management is about sourcing, producing, and delivering goods and services that meet and exceed customer expectations. In this course, students will be introduced to decision-making frameworks and techniques for effectively and efficiently managing processes through coordinated efforts across different organizations in a supply chain and across multiple areas within an organization, such as: consumer analytics, research and development, finance, engineering, marketing, human resource management, sourcing, information systems, logistics, and accounting.