Lu Kong is an assistant professor in the Muma College of Business' School of Information Systems and Management. Her teaching interests include operations management, quality management, data analytics and business modeling. Prior to coming to USF, Kong taught graduate and undergraduate courses in quality systems and processes as a PhD candidate in Cornell University.
Her research interests reside broadly in service operations. More specifically, Kong's research focuses on health care operations management, nursing homes related topics and the interface of health care and hospitality. She presents her work frequently at conferences including INFORMS, POMS, and DSI.
She earned a PhD in operations management and a master's degree in hospitality administration from Cornell University. She received a bachelor's degree in management from Tianjin University of Finance & Economics.
- Kong, L., Sadatsafavi, H., & Verma, R. (2019) "Usage and Impact of Information and Communication Technologies in Healthcare Delivery," Service Science, 11(3), 172-188.
- King, C., Murillo, E., Wei, W., Madera, J., Tews, M. J., Israeli, A. A., & Kong, L. (2019) "Towards a Shared Understanding of the Service Experience –- A Hospitality Stakeholder Approach," Journal of Service Management, 30(3), 410-428
- Kong, L., Hu, K., and Verma, R., "Service Chains' Operational Strategies: Standardization or Customization? Evidence from the Nursing Home Industry," under review of Manufacturing & Service Operations Management.
- Aksoy, L., Alkire, L., Kandampully, J., Kemppainen, L., Kong, L., and Mclleland, L.,
"The Role of Service Firms in Societal Health: The Case for Symbiotic Value," Under
review of Journal of Service Management.
- Kong, L., Lin Z., & Verma, R. (2017) Operations Management in Hospitality. The Routledge Companion to Production and Operations Management. Taylor & Francis, 2017. (book chapter)
- Committee member of “The Most Influential Service Operations Paper Award Committee,” the POMS College of Service Operations, 2018.
- Session chair of “Analytics for Decision Support” in track “Healthcare Analytics & Medical Decision-Making,” POMS annual conference, 2017.