Associate Professor of Information Management
Organizational Leadership and Information Analytics

Koelbel 427


Dr. Kai Larsen is an associate professor of information systems within the Division of Management and Entrepreneurship at Leeds with a courtesy appointment as an Associate Professor in Information Science in the College of Media, Communication and Information. He is a Faculty Fellow at the CU ATLAS Institute, and an affiliated faculty at the Silicon Flatirons Center in the CU School of Law . As Director of the federally supported Human Behavior Project, he is conducting research to create a transdisciplinary "backbone" for theoretical research. Dr. Larsen¹s research uses automatic text mining technologies to create an integrating framework for predictors of human behavior. The research has implications for our understanding of all human behaviors, including technology utilization, investor decisions, and cancer prevention behaviors.


  • Best prototype award, WITS, for TheoryOn: An Ontology-Based Search Engine (with Jingjing Li and Ahmed Abbasi). 2016.
  • Grant no. NSF 1612580: National Science Foundation (NSF), “Workshop on Ontology Learning for Behavioral Knowledge Embeddedness,” 2016-2017. PI with Michael Paul.
  • Association for Information Systems, Technology Challenge Award. 2015.
  • National Institutes of Health/National Cancer Institute, “Implementation of recommender engine and dataset detection for Grid-Enabled Measures (GEM) database,” 2013-2014. PI.
  • National Institutes of Health/National Cancer Institute,“Semi-automatic detection of synonymous constructs in the Grid-Enabled Measures (GEM) database,” 2012-2013. PI.
  • Grant no. NSF 0965338: National Science Foundation (NSF), “TLS and DAT: Construct Utilization in the Behavioral Sciences,” 2010-2013. PI with Jintae Lee and Eliot Rich.
  • Social Sciences and Humanities Research Council, Canada, Research Grant 2006-2008


  • Association for Information Systems, Technology Challenge Award. 2015.
  • Boulder Faculty Assembly Excellence in Teaching Award, 2006
  • Joseph L. Franscona Teaching Excellence Award, 2005
  • Lise and Arnfinn Heje’s Fund, Competitive Merit Grant

Recent Refereed Papers

  • David Gefen, James Endicott, Jake Miller, Jorge Fresneda, and Kai Larsen, “A Guide to Text Analysis with Latent Semantic Analysis in R with Annotated Code Studying Online Reviews and the Stack Exchange Community,” (forthcoming), Communications of the AIS.
  • David Gefen and Kai R. Larsen, Controlling for Lexical Closeness in Survey Research: A Demonstration on the Technology Acceptance Model, (forthcoming), Journal of the AIS.
  • Kai R. Larsen and Bong C.H. (2016): A Tool for addressing Construct Identity in Literature Reviews and Meta-Analyses. MIS Quarterly, 40(3), pp. 529-551; A1-A21. (ISSN 2162-9730).
  • Kai R. Larsen, Susan Michie, Eric B. Hekler, Bryan Gibson, Donna Spruijt-Metz, David Ahern, Heather Cole-Lewis, Rebecca J. Bartlett Ellis, Bradford Hesse, Richard P. Moser, Jean Yi (2016), Behavior Change Interventions: The Potential of Ontologies for Advancing Science and Practice. Journal of Behavioral Medicine. (ISSN 0160-7715).


  • Ph.D., Information Science, University at Albany, SUNY
  • Candidatus Magisterii (Software Engineering), The National College for Teachers of Commerce, Norway
  • Adjunkt (Education), The National College for Teachers of Commerce, Norway
  • Diplomkandidat, NHI College of Computer Science, Norway