Jordan D. Tong

Associate Professor, Operations and Information Management

Wisconsin Naming Partners Professor

Wisconsin School of Business, University of Wisconsin-Madison



Research Interests

  • Behavioral Operations Management: behavioral models, controlled experiments, cognitive judgment biases, forecasting, human-algorithm interactions, healthcare decision-making, service quality perception, decisions under uncertainty

  • Supply Chain Management: supply chain resilience, inventory models, supply chain coordination, payment terms

Published & Accepted Papers

  1. Feiler D, Tong J (2021) From noise to bias: Overconfidence in new product forecasting. Management Science (AiA).[.pdf] [onlineappx] [data]

  2. Ibrahim R, Kim SH, Tong J (2021) Eliciting human judgment for prediction algorithms. Management Science 67(4) 1993-2656. [.pdf] [onlineappx] [data] [informs video]

  3. 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]

  4. 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]

  5. 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]

  6. 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]

  7. Tong J, Feiler D, Larrick R (2018) A behavioral remedy for the censorship bias. Production & Operations Management. 27(4) 624-643. [.pdf]

  8. 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]

  9. Tong J, Feiler D (2017) A behavioral model of forecasting: Naive statistics on mental samples. Management Science 63(11) 3609-3627. [.pdf]

  10. 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]

  11. 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]

  12. 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]

  13. Feiler D, Tong J, Larrick R (2013) Biased judgment in censored environments. Management Science 59(3) 573-591. [.pdf]

Selected Working Papers/Work in Progress

  1. Kim SH, Tong J (2021) Admission control bias and path-dependent feedback under diagnosis uncertainty.

  2. Lin W, Kim SH, Tong J (2021) Does algorithm aversion exist in the field? An empirical analysis of algorithm use determinants in diabetes self-management.

  3. Davis A, Flicker B, Hyndman K, Katok E, Keppler S, Leider S, Long X, Tong J. A replication study of operations laboratory experiments published in Management Science. Work in progress.

Book Chapter

  1. Davis A, Tong J (2021) Behavioral inventory management. Working draft for The Research Handbook on Inventory Management. Edited by Jing-Sheng (Jeannette) Song. Edward Elgar Publishing Ltd.


Current/Upcoming Courses

  • Prescriptive Modeling & Optimization for Business Analytics (BA730) - Fall 2019, Fall 2020, Fall 2021

  • Operations Analytics (OTM365/453) - Spring 2017, Spring 2018, Spring 2019, Fall 2020, Fall 2021

Previously Taught Courses

  • Introduction to Operations Management (OTM300) - Spring 2013, Spring 2014, Spring 2015, Spring 2016

  • Supply Chain Management (at Duke) - Spring 2011


  • I organize the Behavioral Operations Management Summer Institute for PhD students together with Steve Leider & Ryan Buell. Here is the link to the 2019 Summer Institute at the University of Michigan. We plan to offer the next institute Summer 2022. In general, we plan to offer the institute every other summer, rotating locations among Michigan, Harvard, and Wisconsin. Interested PhD students/advisors are welcome to get in contact!

  • I helped launch the MS in Business Analytics at Wisconsin and served as its first academic co-director. Happy to help point interested students towards resources to see if it's right for them.