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Faculty

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Ying He
Associate Professor (with tenure)

Education

Sep. 2008 – Dec. 2013  

McCombs School of Business, The University of Texas at Austin, Texas, USA,

Ph.D./M.S. (Dec, 2013/ Dec, 2010) in Information, Risk, and Operations Management

 

Sep. 2004 – Jun. 2008 

?School of Management, Xi’an Jiaotong University, China

Ph.D. candidate in Management Sciences

 

Sep. 2000 – Jun. 2004 

?School of Economics and Finance, Xi’an Jiaotong University, China

B.A. in Economics 2004

Research Interests

  • Revenue Management, Digital Supply Chain, Data Driven Decision/Operational Analytics

  • Decision Analysis and Decision Theory, Decision Making under Risk/Ambiguity, Real Option Analysis

 

Publications

  1. Ying He. (2024). Recursive two-stage evaluation model for dynamic decision making under ambiguity. Journal of Mathematical Economics, 113(August), Article 103022. https://doi.org/10.1016/j.jmateco.2024.103022

  2. Xia Chen, Yucheng Dong, Ying He, 2024, Group Risky Choice and Resource Allocation under Social Comparison Effects. Group Decision and Negotiation. 33, p 977-1017. https://doi.org/10.1007/s10726-024-09875-z 

  3. Wen Chen, Ying He, and Saurabh Bansal. 2023. Customized dynamic pricing when customers develop a habit or satiation. Operations Research, (INFORMS journal) 71(6), 2158-2174. https://doi.org/10.1287/opre.2022.2412

  4. Ying He and Huaxia Rui, 2022. Probabilistic selling in vertically differentiated markets: The role of substitution. Production and Operations Management, 31(11), 4191-4204. https://doi.org/10.1111/poms.13815

  5. Wen Chen and Ying He. 2022, Dynamic Pricing and Inventory Control with Delivery Flexibility, Annals of Operations Research, 317, 481-508. https://doi.org/10.1007/s10479-017-2555-7

  6. Ying He, 2021, Revisiting Ellsberg and Machina's Paradoxes: A Two-Stage Evaluation Model under Ambiguity, Management Science (INFORMS journal), 67(11), p6897-6914: https://doi.org/10.1287/mnsc.2020.3835

    ●Selected as “Jaffray Lecture” paper at Risk, Uncertainty, and Decision (RUD) conference in 2019 at Paris School of Economics, https://sites.google.com/site/rudconference/jaffray-lectures?authuser=0

    ●Winner of the 2023 Decision Analysis Society (DAS) of INFORMS Publication Award:  https://connect.informs.org/das/awards/decision-analysis-publication-award

  7. Yuchen Dong, Yao Li, Ying He, Xia Chen, 2021, Preference-approval structures in group decision making: Axiomatic distance and aggregation, Decision Analysis (INFORMS journal). 18 (4) p. 273-295, https://doi.org/10.1287/deca.2021.0430

    Finalist of Clemen-Kleinmuntz Decision Analysis Best Paper Award (Decision Analysis Society of INFORMS)

    https://pubsonline.informs.org/page/deca/decision-analysis-special-recognition-award

  8. Sihai Zhao, Yucheng Dong, Ying He, 2020, The reliability analysis of rating systems in decision making: When scale meets multi-attribute additive value model, Decision Support System, 138, 113384, https://doi.org/10.1016/j.dss.2020.113384

  9. Ying He, James S. Dyer, John Butler, and Jianmin Jia. 2019. An Additive Model for Decision Making under Risk and Ambiguity, Journal of Mathematical Economics, 85, 78-92, 10.1016/j.jmateco.2019.10.002

  10. Ying He, James S. Dyer, and John Butler. Jan 2019. A Decision Making Model with Utility from Anticipation and Disappointment, Journal of Multi-Criteria Decision Analysis, 26: p35-50, https://doi.org/10.1002/mcda.1657 

  11. Ying He, James S. Dyer and John C. Butler, J 2014. Decomposing a Utility Function Based on Discrete Distribution Independence, Decision Analysis, (INFORMS journal) 11(4) 233-249. https://doi.org/10.1287/deca.2014.0302

    First Place, 2011 INFORMS Decision Analysis Society student paper competition,

    Finalist, 2014 Decision Analysis Journal Special Recognition Award.

  12. Mats Danielson, Love Ekenberg, and Ying He. 2014. Augmenting Ordinal Methods of Attribute Weight Approximation, Decision Analysis, (INFORMS journal), 11(1), 21-26 https://doi.org/10.1287/deca.2013.0289

  13. Ying He, James S. Dyer, and John C. Butler. 2013. On the Axiomatization of the Satiation and Habit Formation Utility Models, Operations Research, (INFORMS journal), 61(6): 1399-1410. https://doi.org/10.1287/opre.2013.1223

  14. Ying He and Ruihua Huang. 2008. Risk Attributes Theory: Decision Making under Risk. European Journal of Operational Research. 186(1): 243-360. https://doi.org/10.1016/j.ejor.2007.01.012


Academic Services

  • Member of Scientific Committee for Risk, Uncertainty, & Decision (RUD) conference held at University of Manchester, UK 2025

  • DAS publication award committee member 2024.

  • Organizing committee member and scientific committee member of Advances in Decision Analysis (ADA) conference 2022, Darden Business School, University of Virginia, June 22 to June 24, 2022

  • Elected council member of Decision Analysis Society (DAS) of INFORMS (2021-2023)

  • Member of editorial board for Decision Analysis journal

  • Ad hoc referee for Operations Research (8), Management Science (7), Decision Analysis (10), and European Journal of Operational Research (5), Production and Operations Management (2), Theory and Decision (2), IISE transaction (2), Operations Letters (1), Journal of Mathematical Economics (1), Economic Theory (1), Annals of Operational Research (1), Information System Research (4), (number indicates papers reviewed since 2014)

  • Seminar Coordinator for Management Sciences seminar series at University of Southern Denmark, 2014 to 2020.

  • Session chair of “Behavioral Economics and Decision Analysis” session at INFORMS annual meeting 2013

  • Session chair of “Development of Utility Theory” session at ADA (Advanced Decision Analysis) conference 2017,  Austin, TX.

  • Session chair of “Development of Utility Theory” session at INFORMS annual meeting 2017,  Houston, TX.

  • Session chair of “Development of Utility Theory” session at INFORMS annual meeting 2018,  Phoenix, AZ.

  • Session chair of “Theoretical Issues in Decision Analysis” session at INFORMS annual meeting 2019, Seattle, WA

  • Session chair of “Theoretical Issues in Decision Analysis” session at INFORMS virtual annual meeting 2020,


Honors & Awards

2024     

Winner of Practice Award jointly sponsored by the DAS of INFORMS and Society of Decision Professionals, for the paper titled “An                               Ambiguity Framework to Inform Optimal Data Allocation for Data-Driven Optimization: Analysis and Application to Agribusiness”.

https://connect.informs.org/das/awards/decision-analysis-practice-award,

https://www.decisionprofessionals.com/advance-career/awards/practice-award


2023     

Winner of Decision Analysis Society Publication Award for paper titled “Revisit Ellsberg and Machina’s Paradoxes: A Two-Stage Evaluation                 Model under Ambiguity” published in Management Science, https://connect.informs.org/das/awards/decision-analysis-publication-award


2022     

Finalist of Clemen-Kleinmuntz Decision Analysis Best Paper Award (Decision Analysis Society of INFORMS),                                                        

https://pubsonline.informs.org/page/deca/decision-analysis-special-recognition-award


2019     

The Jaffray Lecture at “Risk, Uncertainty, and Decision” (RUD) meeting at Paris School of Economics,

“Revisit Ellsberg and Machina’s Paradoxes: A Two-Stage Evaluation Model under Ambiguity”,

https://sites.google.com/site/rudconference/history-of-rud/2019---paris-school-of-economics/jaffray-lecture


2013     

Finalist, Decision Analysis Journal Special Recognition Award 2014,

https://pubsonline.informs.org/page/deca/decision-analysis-special-recognition-award


2011   

First place, 2011 INFORMS Decision Analysis Society Student Paper Competition,

https://www.informs.org/Recognizing-Excellence/Award-Recipients/Ying-He


2008-2013     

Dean's Fellowship, McCombs School of Business, The University of Texas at Austin


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