UCL School of Management

Onesun Steve Yoo

Lecturer (assistant professor)
Phone number
(0)20 3108 1038
(internal 51038)
Office location
Level 38, 1 Canada Square
Rm NW3


Dr. Onesun Steve Yoo is an Assistant Professor (Lecturer) in the UCL School of Management. He joined in 2010 after receiving his PhD from the UCLA Anderson School of Management. He also received an MS in Electrical Engineering from UCLA, and BS and BA in Electrical Engineering and Computer Science and Applied Mathematics respectively from UC Berkeley.


Entrepreneurs face many important decisions every day. For example, 

  • How should you invest time in process improvement efforts during growth?
  • When should you hire your first employee? How do you retain the good ones?
  • How do consumers make purchase choice? How should you allocate sales effort?
  • When is it beneficial to frequently “pivot” during the product development process?
  • In which situations is it sensible to engage in a relationship that is trust-based?

Dr. Yoo’s research utilizes various analytical models (e.g., stochastic dynamic programming, Bayesian learning, and game theory) relevant for entrepreneurial growth settings, and provide insights that can aid entrepreneurial firm operations.

Research projects

Entrepreneurial operations management

Develop stylized insights/practical frameworks to aid operations of high-growth entrepreneurial firms.
Selected publications
Yoo, O. S., & Kwon, H. D. (2017). Retention of Capable New Employees under Uncertainty: Impact of Strategic Interactions. IISE Transactions. doi:10.1080/24725854.2017.1325028 [link]
Yoo, O., Corbett, C., & Roels, G. (2016). Optimal Time Allocation Process for Growth-Focused Entrepreneurs. Manufacturing & Service Operations Management. doi:10.1287/msom.2015.0568 [link]
Yoo, O. S., Corbett, C. J., & Roels, G. (2016). The time-money trade-off for entrepreneurs: when to hire the first employee?. Manufacturing and Service Operations Management.
YOO, O., & CARO, F. (n.d.). Indexability of bandit problems with response delays. Probability in the Engineering and Informational Sciences, 24 (3). doi:10.1017/S0269964810000021 [link]

Link to the publication’s UCL Discovery page