Jordan D. Tong
Professor and Department Chair, Operations and Information Management
Robert M. Steiner Chair in Business
Wisconsin School of Business, University of Wisconsin-Madison
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Contact
Contact
Email: jordan.tong@wisc.edu
Faculty Website: https://business.wisc.edu/directory/profile/jordan-tong/
Office Location: Grainger Hall, Room 4293
Office Phone: (608) 265-8220
Mailing Address: 975 University Avenue; Madison, WI 53706
Research
Research
Research Interests
Behavioral Operations Management: behavioral models, controlled experiments, cognitive judgment biases, human-AI interactions, forecasting, hiring processes, healthcare decision-making, service quality perception
Supply Chain Management: supply chain resilience, inventory models, supply chain coordination, payment terms
Published & Accepted Papers
Kim E, Long X, Tong J (2026) Fair funnels: Bias, performance, and interventions in multistage hiring processes. Manufacturing & Service Operations Management. Article in Advance. [.pdf] [onlineappx]
Disorbo M, Ferreira K, Balakrishnan M, Tong J (2025). Warnings and endorsements: Improving human-AI collaboration in the presence of outliers. Manufacturing & Service Operations Management 27(6):1814-1831. [.pdf] [onlineappx] [data]
Balakrishnan M, Ferreira K, Tong J (2026) Human-algorithm collaboration with private information: Naïve advice weighting behavior and mitigation. Management Science 72(1):265-284 [.pdf] [onlineappx] [data]
Kim SH, Tong J (2024) Admission control bias and path-dependent feedback under diagnosis uncertainty. Manufacturing & Service Operations Management 26(1) 117-136. [.pdf] [onlineappx] [data]
Davis A, Flicker B, Hyndman K, Katok E, Keppler S, Leider S, Long X, Tong J. (2023) A replication study of operations laboratory experiments published in Management Science. Management Science 69(9) 4973-5693. [.pdf] [onlineappx] [commentaries] [see also msreplication.com for data/materials]
Feiler D, Tong J (2022) From noise to bias: Overconfidence in new product forecasting. Management Science 68(6) 3975-4753. [.pdf] [onlineappx] [data]
Ibrahim R, Kim SH, Tong J (2021) Eliciting human judgment for prediction algorithms. Management Science 67(4) 1993-2656. [.pdf] [onlineappx] [data] [informs video]
DeCroix G, Long X, Tong J (2021) How service quality variability hurts revenue when customers learn: Implications for dynamic personalized pricing. Operations Research 69(3) 683-708. [.pdf]
Kim SH, Tong J, Peden C (2020) Admission control biases in hospital unit capacity management: How occupancy information hurdles and decision noise impact utilization. Management Science 66(11) 4921-5484. [.pdf] [onlineappx] [data]
Batt R, Tong, J (2020) Mean service metrics: Biased quality judgment and the customer-server quality gap. Manufacturing & Service Operations Management 22(5) 975-995. [.pdf] [onlineappx]
Tong J, DeCroix G, Song J-S (2020) Modeling payment timing in multiechelon inventory systems with applications to supply chain coordination. Manufacturing & Service Operations Management 22(2) 346-363. [.pdf] [onlineappx]
Tong J, Feiler D, Larrick R (2018) A behavioral remedy for the censorship bias. Production & Operations Management. 27(4) 624-643. [.pdf]
Tong J, Feiler D, Ivantsova A (2018) Good choice, bad judgment: How choice under uncertainty generates overoptimism. Psychological Science 29(2) 254–265. [.pdf] [onlineappx]
Tong J, Feiler D (2017) A behavioral model of forecasting: Naive statistics on mental samples. Management Science 63(11) 3609-3627. [.pdf]
Liu F, Song J-S, Tong J (2016) Building supply chain resilience through virtual stockpile pooling. Production & Operations Management 25(10) 1745-1762. [.pdf] [onlineappx]
Huang L, Song J-S, Tong J (2016) Supply chain planning for random demand surges: Reactive capacity and safety stock. Manufacturing & Service Operations Management 18(4) 509-524. [.pdf] [onlineappx]
Feiler D, Tong J, Larrick R (2013) Biased judgment in censored environments. Management Science 59(3) 573-591. [.pdf]
Chen L, Kok AG , Tong J (2013) The effect of payment schemes on inventory decisions: The role of mental accounting. Management Science 59(2) 436-451. [.pdf] [onlineappx] [replication report]
Selected Working Papers
Lin W, Kim SH, Tong J (2026) Revisiting the cause of algorithm aversion: Algorithm feedback asymmetry in the field and lab.
Tuncalp F, Ibrahim R, Kim SH, Tong J (2026) Designing doctor-patient shared decision-making processes under bounded rationality.
Feiler D, Tong J (2026) Bias in managerial judgment of operational processes: Hasty expectations under input uncertainty.
Book Chapter
Davis A, Tong J (2023) "Behavioral inventory management." The Research Handbook on Inventory Management. Edited by Jing-Sheng (Jeannette) Song. Edward Elgar Publishing Ltd. [.pdf]
Teaching
Teaching
Current/Upcoming Courses
AI-Enabled Business Solutions Lab (GENBUS 210 - BBA) - Spring 2027
Behavioral Experiment Research Methods in Management Science (OTM765 - PhD) - Spring 2026
Previously Taught Courses
Prescriptive Modeling & Optimization for Business Analytics (GENBUS730) - Fall 2019, Fall 2020, Fall 2021, Fall 2022, Fall 2023, Fall 2024
🏭 🧱 I made a game! 🏭 🧱 The Tong Lego Challenge is a classroom activity designed to introduce optimization models. You're welcome to use it!
Psychology of Business Analytics (OTM765) - Spring 2024
Operations Analytics (OTM365/453) - Spring 2017, Spring 2018, Spring 2019, Fall 2020, Fall 2021
Introduction to Operations Management (OTM300) - Spring 2013, Spring 2014, Spring 2015, Spring 2016
Supply Chain Management (at Duke) - Spring 2011
Other
Other
I'm honored to serve as the current OIM department chair. Check out our department website and follow us on LinkedIn!
I'm an Associate Editor at Management Science and Operations Research; and a Senior Editor at Production & Operations Management.
I organize the Behavioral Operations Management Summer Institute (BOMSI) for PhD students together with Ryan Buell and Steve Leider. The last institute was hosted at Wisconsin in June 2025 (see here). We anticipate the next BOMSI will be held in Michigan in the summer of 2027. In general, we hope to offer the institute every other summer, rotating locations among Michigan, Harvard, and Wisconsin. Interested PhD students/advisors are welcome to get in contact!
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