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 (2021) Appeared Online Link
  2. Kejia Hu, Sunil Chopra, and Yuche Chen. “The Effect of Tightening Standards on Automakers’ Non-compliance.” Production and Operations Management (2021) Appeared Online Link
    1. 📰 Media Coverage:  “Tightening Vehicle Emissions Standards Resulted in Higher Rates of Automaker Non-Compliance” Vanderbilt News 2021. Link
  3. Kejia Hu, Gad Allon, and Achal Bassamboo. “Understanding Customers’ Retrial in Call Centers: Preferences of Service Speed and Service Quality.” Manufacturing & Service Operations Management (2021) Appeared Online Link
    1. 📰 Media Coverage:  “New Research Identifies Service Frameworks to Improve Customer Service without Breaking the Bank” Vanderbilt News 2021. 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 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, Douglas J. Thomas, and Jan A. Van Mieghem. “Forecasting Product Life Cycle Curves: Practical Approach and Empirical Analysis.” Manufacturing & Service Operations Management 21, no. 1 (2018): 66-85. Link
    1. 🎉 Finalist in the 2017 M&SOM Practice-based Competition.
    2. 📰 Media Coverage:  "How to Predict Demand for Your New Product."  Kellogg Insights, 2017 Link​ 
    3. 📰 Media Coverage:  "Launching New Tech? How Do You Make Data-driven Decisions Without Any Sales Data?" Vanderbilt News, 2018. Link
  7. Jason Acimovic, 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 21, no. 1 (2018): 171-176. Link
  8. Kejia Hu and Yuche Chen. “Technological Growth of Fuel Efficiency in European Automobile Market 1975–2015.” Energy Policy 98 (2016): 142-148. Link
  9. Yuche Chen, 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. 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 4, no. 2 (2015): 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.” In Proceedings of International Workshop on Machine Learning and Data Mining in Pattern Recognition, pp. 601-615. Springer, Berlin, Heidelberg, 2013. Link
  12. Gongming Yu, Yijun Wang, and Kejia Hu. “Regional Reserves Growth Shows Decline in Annual Rate of Increase.” Oil & Gas Journal 114, no. 7 (2016): 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 3 (2017): 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

  1. Lu Kong, Kejia Hu, and Rohit Verma. “Service Chains' Operational Strategies: Standardization or Customization? Evidence from the Nursing Home Industry.” First Round Revision at Manufacturing & Service Operations Management Link
  2. Xiande Zhao, Morgan Swink, and Kejia Hu. “Analytics Applications and Strategies in the Restaurant Industry.” Second Round Revision at Production and Operations Management
  3. Simin Li, Kejia Hu, and Martin Lariviere. “Promotional Design for Small Businesses: the Operational Value of Online Deals.” R&R at Management Science Link
    1. 🎉Finalist in the 2019 IBM Service Science Section Best Student Paper Competition
  4. Zhenzhen Jia, Kejia Hu, Jianqiang Hu, and Vishal Ahuja. “To What Extent Do Workers’ Preferences Matter?” R&R at Management Science Link
    1. 🎉2021 INFORMS Service Science Best Cluster Paper Award
    2. 🎉2021 POMS College of Behavior OM Junior Scholar Paper — Honorable Mention
    3. 🎉2020 INFORMS Best Working Paper Award Behavioral OM — Runner Up​
  5. Fan Zhou, Yan Dong, Kejia Hu, and Sriram Venkataraman. “Delegation with Technology Migration: An Empirical Analysis of Mobile Virtual Network Operators.” R&R at Management Science Link
  6. Kejia Hu and Nil Karacaoglu. “WeStore or AppStore: Customer Behavior Differences in Mobile Apps and Social Commerce.” Under Review at Management Science Link
    1. 🎉2021 INFORMS TIMES awards finalists (awards to be announced at INFORMS 2021)
  7. Li Xiang, Kejia Hu, and Huibin Du. “How Women Promote Greater Social Responsibility on Social Media.” Under Review at MIS Quarterly
    1. 🎉2021 INFORMS Social Media Analytics Section Best Student Paper Award Finalist (awards to be announced at INFORMS 2021)

Working Papers/Work in Progress

  1. Kejia Hu and Xun Xu. “The Psychology of Virtual Queue: When Waiting Becomes Less Like Waiting.” (Writing)
  2. Kejia Hu, Susan Lu, and Lauren Lu. “The Acquisition Performance of Multiunit Service Firms: Achieving Operational Synergy through Geographic Clustering.” (Writing)
  3. Kejia Hu and Shuai Ling. “The Cardless and Cashless Future: The Rise of Mobile Payment.” (Writing)
  4. Kejia Hu and Mark Cohen. “The Good and Evil Inside: From Within-organization Features to the Social-Orientation of Innovations.” (Writing)
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