|
Hi, I'm Kejia Hu, |
Research Talks at INFORMS 2018
Talk 1: The Danger of Tightening Standards in Driving Carmakers' Non-compliance Behavior (with Sunil Chopra and Yuche Chen)
Schedule: November 4, 2018, 1:50 PM - 2:10 PM, North Bldg 127B
Schedule: November 4, 2018, 1:50 PM - 2:10 PM, North Bldg 127B
Talk 2: Shaping Demand Peaks and Valleys in Service Industries Through Online Deals (with Simin Li and Martin Lariviere)
Schedule: November 6, 2018, 12:05 PM - 12:20 PM, North Bldg 132A
Schedule: November 6, 2018, 12:05 PM - 12:20 PM, North Bldg 132A
Talk 3: Understanding Customers’ Retrials in Call Centers: Preferences of Service Speed and Service Quality (with Gad Allon and Achal Bassamboo)
Schedule: November 6, 2018, 12:35 PM - 12:50 PM, North Bldg 132A
Schedule: November 6, 2018, 12:35 PM - 12:50 PM, North Bldg 132A
Research Progress
Empirical Research Theory Development
1. Kejia Hu, Jaesik Choi, Alex Sim and Jiming 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. Kejia Hu, Alex Sim, Demetris Antoniades and Constantine 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.
3. 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)
Media Coverage: "How to Predict Demand for Your New Product". Kellogg Insights 2017, Mar 10
2. Kejia Hu, Alex Sim, Demetris Antoniades and Constantine 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.
3. 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)
Media Coverage: "How to Predict Demand for Your New Product". Kellogg Insights 2017, Mar 10
Operations Management Research
Service Management
4. Kejia Hu, Gad Allon, and Achal Bassamboo. Understanding Customers' Retrials in Call Centers: Preference of Service Speed and Service Quality. Working.
5. Kejia Hu, Sunil Chopra and Yuche Chen. The Danger of Tightening Standards without Appropriate Monirogin Macro-Environmental Forces that Drive Carmakers to Misconduct: Intense Competition and Stringent Standards. Working.
Media Coverage: "What Volkswagen’s Emissions Scandal Can Teach Us about Why Companies Cheat". Kellogg Insights 2017, Feb 2
6. Guangzhen Guo, Y. Zhang, and Kejia Hu, 2017. Strategic Choice of Open and Closed Platforms: Game Theory Analysis of Downstream Vendors Behavior based on Demand and Cost Advantages. China Industrial Economics，3, 64-82.
Sustainability Management
7. Kejia Hu, and Yuche Chen. "Technological growth of fuel efficiency in european automobile market 1975–2015." Energy Policy 98 (2016): 142-148.
8. 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 185 (2017): 825-835.
9. Yu, Gongming, Yijun Wang, and Kejia Hu. "Regional reserves growth shows decline in annual rate of increase." Oil & Gas Journal 114, no. 7 (2016): 40-44.
Case Study
10. Jianqiang Hu and Kejia Hu. Case Study on Jointown Pharmaceutical Group Co Ltd, China. Awarded as the National Top 100 MBA Case Studies, China, 2011.
11. 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 (2018).
4. Kejia Hu, Gad Allon, and Achal Bassamboo. Understanding Customers' Retrials in Call Centers: Preference of Service Speed and Service Quality. Working.
5. Kejia Hu, Sunil Chopra and Yuche Chen. The Danger of Tightening Standards without Appropriate Monirogin Macro-Environmental Forces that Drive Carmakers to Misconduct: Intense Competition and Stringent Standards. Working.
Media Coverage: "What Volkswagen’s Emissions Scandal Can Teach Us about Why Companies Cheat". Kellogg Insights 2017, Feb 2
6. Guangzhen Guo, Y. Zhang, and Kejia Hu, 2017. Strategic Choice of Open and Closed Platforms: Game Theory Analysis of Downstream Vendors Behavior based on Demand and Cost Advantages. China Industrial Economics，3, 64-82.
Sustainability Management
7. Kejia Hu, and Yuche Chen. "Technological growth of fuel efficiency in european automobile market 1975–2015." Energy Policy 98 (2016): 142-148.
8. 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 185 (2017): 825-835.
9. Yu, Gongming, Yijun Wang, and Kejia Hu. "Regional reserves growth shows decline in annual rate of increase." Oil & Gas Journal 114, no. 7 (2016): 40-44.
Case Study
10. Jianqiang Hu and Kejia Hu. Case Study on Jointown Pharmaceutical Group Co Ltd, China. Awarded as the National Top 100 MBA Case Studies, China, 2011.
11. 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 (2018).
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
|
|
|
|
|
|
|
|
|
|