Meet Our Team
Professor Kitchens conducts research regarding the use of business analytics for examining firm value and competition, as well as for data-driven decision making. His research in this area includes projects related to measuring latent constructs through text and data mining, utilizing large-scale event studies to understand the value of firm business functions, evaluating the impact of electronic markets on local geographic competition, and determining factors related to customer churn in multichannel settings.
Jingjing Li is an Assistant Professor of IT at the McIntire School of Commerce. She has over six years of research experience pertaining to machine learning and big data analytics, with applications in information extraction, text mining, social media, search and relevance, and recommendation systems. Her research has both academic recognition and industry impact. Before joining McIntire, she was a scientist at Microsoft, developing large-scale machine learning solutions for numerous Microsoft products such as Xbox, Windows 8, Windows Phone, Cortana, and Bing. She also received a teaching award for her business intelligence course at the University of Colorado at Boulder's Leeds School of Business.
Trey Maxham links digital, mobile, and social analytics with customer survey data and basket composition purchase data to explore omnichannel customer behavior and loyalty trends over time. He also links multisource data from customers, frontline employees, and stores (or units) to help managers better understand how customer experiences shape customer loyalty over time. Maxham leverages multivariate data analysis, structural equation modeling, hierarchical linear and nonlinear modeling, and sentiment analysis to conduct field experiments in the marketplace that offer timely insights across retail, hospitality, industrial sales, and other service sectors.
Professor Netemeyer is the Ralph A. Beeton Professor of Free Enterprise at the McIntire School of Commerce. His expertise includes the advanced analytic (AA) techniques of cluster analysis, factor analysis, discriminant analysis, multiple and logistic regression, structural equation modeling, hierarchical linear modeling, and measurement and psychometrics. He uses IBM SPSS, SAS, and R statistical packages in applying these AA techniques. He currently teaches AA in the M.S. in Commerce and undergraduate Customer Analytics courses using big data sets supplied by Center for Business Analytics corporate partner Kate Spade.
As Assistant Dean of Corporate & Foundation Relations, Allison Teweles develops and maintains the relationship between the Center and the business analytics community. Teweles works with Center board member organizations to create and sustain strategic partnerships that provide value to the members and support McIntire's efforts in the business analytics area. In addition to working with Center for Analytics organizations, Teweles is responsible for establishing strategic, multilevel partnerships with corporations and foundations for support of School-wide priorities and academic programs.