|
Hi, I'm Kejia Hu, |
Research Talks at POMS 2018
POMS Talk 1: Understanding Customers Retrial In Call Centers: Preference Of Service Quality And Service Speed (with Gad Allon and Achal Bassamboo)
Schedule: Friday, May 04, 09:45 - 11:15 , 336B
Schedule: Friday, May 04, 09:45 - 11:15 , 336B
POMS Talk 2: Using Online Vouchers to Shape Demand in Service Industries during Holiday (with Simin Li and Martin Lariviere)
Schedule: Friday, May 04, 09:45 - 11:15 , 336B
Schedule: Friday, May 04, 09:45 - 11:15 , 336B
POMS Talk 3: Forecasting Product Life Cycle Curves: Practical Approach and Empirical Analysis (with Jason Acimovic, Doug Thomas and Jan Van Mieghem)
Schedule: Friday, May 04, 01:30 - 03:00 PM, 336B
Schedule: Friday, May 04, 01:30 - 03:00 PM, 336B
POMS Talk 4: The Danger of Tightening Standards Without Appropriate Monitoring Effectiveness in a Competitive Market (with Sunil Chopra and Yuche Chen)
Schedule: Saturday, May 05, 03:00 - 04:30 , 335C
Schedule: Saturday, May 05, 03:00 - 04:30 , 335C
Research Progress
Statistical Theory Development
1. K. Hu, Choi, A. Sim and J. Jiang, 2015. Best Predictive Generalized Linear Mixed Model with Predictive Lasso for High-Speed Network Data Analysis. International Journal of Statistics and Probability, Vol. 4 (2), 132.
2. K. Hu, A. Sim, D. Antoniades and C. Dovrolis, 2013. Estimating and Forecasting Network Traffic Performance based on Statistical Patterns Observed in SNMP Data. Proceedings of Machine Learning and Data Mining in Pattern Recognition, 601-615.
2. K. Hu, A. Sim, D. Antoniades and C. Dovrolis, 2013. Estimating and Forecasting Network Traffic Performance based on Statistical Patterns Observed in SNMP Data. Proceedings of Machine Learning and Data Mining in Pattern Recognition, 601-615.
Operations Management Research
Causal Inference
3. K.Hu, G. Allon, and A. Bassamboo. Understanding Customers' Retrials in Call Centers: Preference of Service Speed and Service Quality. Submitted to Management Science.
4. K. Hu, S. Chopra and Y. Chen. Macro-Environmental Forces that Drive Carmakers to Misconduct: Intense Competition and Stringent Standards. Submitted to M&SOM.
Media Coverage: "What Volkswagen’s Emissions Scandal Can Teach Us about Why Companies Cheat". Kellogg Insights 2017, Feb 2
5. C. Bandi, S. Chopra, K. Hu, and P. Wu. Enhancing the Economic Impact of Environmental Performance. Submitted to POM.
Quantitative Analysis
6. K. Hu, and Y. Chen, 2016. Technological Growth of Fuel Efficiency in European Automobile Market 1975-2015. Energy Policy, Vol. 98, 142-148.
7. K. Hu, and S. Chopra. The Relationship between Market Share and “Green” Performance in the Automotive Industry - An Empirical Study on European Data. To be submitted to Transportation Research, Part D: Environment.
Forecast
8. K. Hu, J. Acimovic, F. Erize, D. Thomas and J.A. Van Mieghem. Forecasting Product Life Cycle Curves: Practical Approach and Empirical Analysis. M&SOM Forthcoming
Media Coverage: "How to Predict Demand for Your New Product". Kellogg Insights 2017, Mar 10
Theory Development
9. Y. Chen, Y. Zhang, Y. Fan, K. Hu, J. Zhao, 2016. A Dynamic Programming Approach for Modeling Low-Carbon Fuel Technology Adoption Considering Learning-by-doing Effect. Applied Energy. Forthcoming.
Case Study
10. J. Hu and K. Hu. Case Study on Jointown Pharmaceutical Group Co Ltd, China. Awarded as the National Top 100 MBA Case Studies, China, 2011.
11. J. Acimovic, F. Erize, K. Hu, D. Thomas and J.A. Van Mieghem. Product Life Cycle Data Set: Raw and Cleaned Data of Weekly Orders for Personal Computers. M&SOM Forthcoming.
3. K.Hu, G. Allon, and A. Bassamboo. Understanding Customers' Retrials in Call Centers: Preference of Service Speed and Service Quality. Submitted to Management Science.
4. K. Hu, S. Chopra and Y. Chen. Macro-Environmental Forces that Drive Carmakers to Misconduct: Intense Competition and Stringent Standards. Submitted to M&SOM.
Media Coverage: "What Volkswagen’s Emissions Scandal Can Teach Us about Why Companies Cheat". Kellogg Insights 2017, Feb 2
5. C. Bandi, S. Chopra, K. Hu, and P. Wu. Enhancing the Economic Impact of Environmental Performance. Submitted to POM.
Quantitative Analysis
6. K. Hu, and Y. Chen, 2016. Technological Growth of Fuel Efficiency in European Automobile Market 1975-2015. Energy Policy, Vol. 98, 142-148.
7. K. Hu, and S. Chopra. The Relationship between Market Share and “Green” Performance in the Automotive Industry - An Empirical Study on European Data. To be submitted to Transportation Research, Part D: Environment.
Forecast
8. K. Hu, J. Acimovic, F. Erize, D. Thomas and J.A. Van Mieghem. Forecasting Product Life Cycle Curves: Practical Approach and Empirical Analysis. M&SOM Forthcoming
Media Coverage: "How to Predict Demand for Your New Product". Kellogg Insights 2017, Mar 10
Theory Development
9. Y. Chen, Y. Zhang, Y. Fan, K. Hu, J. Zhao, 2016. A Dynamic Programming Approach for Modeling Low-Carbon Fuel Technology Adoption Considering Learning-by-doing Effect. Applied Energy. Forthcoming.
Case Study
10. J. Hu and K. Hu. Case Study on Jointown Pharmaceutical Group Co Ltd, China. Awarded as the National Top 100 MBA Case Studies, China, 2011.
11. J. Acimovic, F. Erize, K. Hu, D. Thomas and J.A. Van Mieghem. Product Life Cycle Data Set: Raw and Cleaned Data of Weekly Orders for Personal Computers. M&SOM Forthcoming.
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 Organizations
|
|
|
|
|
|
|
|
|
|