Recent Updates

  • Dec 20 L'Oreal Parternship on E-commerce Forecasting
  • Nov 20 INFORMS Best Working Paper in Behavior OM -- Second Place 🤓 
  • May 20 M&SOM Meritorious Service Award
  • Oct 19​ Serving as a Panelist of INFORMS 19 Academic Job Search Panel 
  • Sept​ 19 Awarded as Brownlee O. Currey Jr. Dean's Faculty Fellow, Vanderbilt University 🤓 
  • Sept​ 19 Research selected to present at the Wharton Empirical Workshop 
  • May 19 Serving as the Track Chair of Service Operations for POMS 2019
  • May 19 Invited to be a Thought Leader in Cornell's Thought Leadership Forum 

My Research Passion

Research Journey: 
Analyze Data ----> Collect Information ----> Acquire Knowledge ----> Impart Wisdom
​
Topic Expertise:
Service Operations, Artificial Intelligence, Business Analytics
Methodology Expertise: 
Structural Modeling and Causal Inference, Statistical Forecasting and Stochastic Modeling

My Visual CV

Research Progress

Appeared & Forthcoming

  1. Lu Kong, Kejia Hu, Matthew Walsman. “Caring for an Aging Population in a Post- Pandemic World: Emerging Trends in the U.S. Older Adult Care Industry”. Service Science Forthcoming Link
  2. Kejia Hu, Sunil Chopra, and Yuche Chen. The Danger of Tightening Standards in Driving Carmakers' Non-Compliant Behavior. . Production and Operations Management, Forthcoming Link 
    • Media Coverage:  "What Volkswagen’s Emissions Scandal Can Teach Us about Why Companies Cheat".  Kellogg Insights 2017, Feb 2. Link
  3. Kejia Hu, Gad Allon, and Achal Bassamboo. Understanding Customers' Retrials in Call Centers: Preference of Service Speed and Service Quality. Manufacturing & Service Operations Management, Forthcoming Link
  4. Sertan Kabadayi, Kejia Hu, Yuna S.H. Lee, Lydia Hanks, Matthew Walsman, and David Dobrzykowski. “Fostering Older Adult Care Experiences to Maximize Well-Being Outcomes: A Conceptual Framework.” Journal of Service Management Vol.31 No. 5 (2020): 953-977. Link
  5. Kejia Hu and Yuche Chen. Equilibrium Fuel Supply and Carbon Credit Pricing under Market Competition and Environmental Regulations. Applied Energy 236 (2019): 815-824. Link
  6. Kejia Hu, ​Jason Acimovic, Francisco Erize, Doug Thomas, and Jan A. Van Mieghem. Forecasting Product Life Cycle Curves: Practical Approach and Empirical Analysis. Manufacturing & Service Operations Management, 2018, 21(1): 66-85. Link
    1. Finalist at the 2017 M&SOM Practice-based Competition. 
    2. Media Coverage:  "How to Predict Demand for Your New Product."  Kellogg Insights 2017, Mar 10 Link​ 
    3. Media Coverage:  "Launching New Tech? How Do You Make Data-driven Decisions Without Any Sales Data?" Vanderbilt News 2018. Link
  7. Acimovic, Jason, Francisco Erize, Kejia Hu, Douglas J. Thomas, and Jan A. Van Mieghem. Product Life Cycle Data Set: Raw and Cleaned Data of Weekly Orders for Personal Computers. Manufacturing & Service Operations Management, 2019, 21(1):171-176. Link
  8. Kejia Hu, and Yuche Chen. Technological growth of fuel efficiency in european automobile market 1975–2015. Energy Policy, 2016, 98: 142-148. Link
  9. Chen, Yuche, Yunteng Zhang, Yueyue Fan, Kejia Hu, and Jianyou Zhao. A dynamic programming approach for modeling low-carbon fuel technology adoption considering learning-by-doing effect. Applied energy, 2017, 185: 825-835. Link
  10. ​Kejia Hu, Jaesik Choi, Alex Sim, and Jiming Jiang. Best Predictive Generalized Linear Mixed Model with Predictive Lasso for High-Speed Network Data Analysis. International Journal of Statistics and Probability, 2015, Vol. 4 (2), 132. Link
  11. Kejia Hu, Alex Sim, Demetris Antoniades, and Constantine Dovrolis. Estimating and Forecasting Network Traffic Performance based on Statistical Patterns Observed in SNMP Data. Proceedings of Machine Learning and Data Mining in Pattern Recognition, 2013, 601-615. Link
  12. Yu, Gongming, Yijun Wang, and Kejia Hu. Regional reserves growth shows decline in annual rate of increase. Oil & Gas Journal, 2016, 114, no. 7: 40-44. Link
  13. Guangzhen Guo, Y. Zhang, and Kejia Hu. Strategic Choice of Open and Closed Platforms: Game Theory Analysis of Downstream Vendors Behavior based on Demand and Cost Advantages. China Industrial Economics, 2017, 3, 64-82. Link
  14. Jianqiang Hu and Kejia Hu. Case Study on Jointown Pharmaceutical Group Co Ltd, China. 
    1. Awarded as the National Top 100 MBA Case Studies, China, 2011. 

Under Review & Revision

15. Simin Li, Kejia Hu, and Martin Lariviere. Promotional Design for Small Businesses: the Operational Value of Online Deals. Link
16. Lu Kong, Kejia Hu, and Rohit Verma. “Service Chains' Operational Strategies: Standardization or Customization? Evidence from the Nursing Home Industry.”Link
17.Zhenzhen Jia, Kejia Hu, Jianqiang Hu, and Vishal Ahuja. To What Extent Do Workers’ Preferences Matter? Link
18. Xiande Zhao, Morgan Swink, and Kejia Hu. Analytics Applications and Strategies in the Restaurant Industry. 
19. Fan Zhou, Yan Dong, Kejia Hu, and Sriram Venkataraman. Delegation with Technology Migration: An Empirical Analysis of Mobile Virtual Network Operators. Link

Working Paper & In Progress

20. Kejia Hu and Nil Karacaoglu. WeStore or AppStore: Customer Behavior Differences in Mobile Apps and Social Commerce.
​21. Kejia Hu and Xun Xu. The Psychology of Virtual Queue: When Waiting becomes less like waiting. 
22. Kejia Hu and Mark Cohen. Heterogeneous Choices in Pro-social and Anti-social Innovation. 
23. Kejia Hu, Susan Lu, and Lauren Lu. Rich Dad Poor Dad: A Perspective of Operational Fit on the Acquisition Performance of Multiunit Service Organizations. 
24. Kejia Hu and Shuai Ling. Battles of Payment Channels in Service Consumption: the Rise of Mobile Payment.

CONNECT WITH ME

Interested in my research? Want to collaborate? Let's get in touch! 
Ecclesiastes 4:9-12
​Though one may be overpowered, two can defend themselves. A cord of three strands is not quickly broken. "​

Collaborated Industrial Partners

E-commerce:
  • L'Oreal - Tmall, China
  • Alibaba Group Holding Ltd, China 
  • Yelp, USA  

Healthcare:
  • Jointown Pharmaceutical Group, China 
  • ​Vanderbilt University Medical Center, USA 
  • Cornell Institute for Healthy Futures

Technology:
  • Lawrence Berkeley National Laboratory, Scientific Data Management Research Group
  • National Renewable Energy Laboratory 

Others:
  • Dell, USA
  • Marriott International, USA 
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