Kai R. Larsen

Biography

Kai R. Larsen is an Associate Professor of Information Systems in the division of Organizational Leadership and Information Analytics, Leeds School of Business, University of Colorado Boulder. He is a courtesy faculty member in the Department of Information Science of the College of Media, Communication and Information, a Research Advisor to Gallup, Associate Editor of MIS Quarterly, and a Fellow of the Institute of Behavioral Science. Kai is most known for providing a practical solution to Edward Thorndike's (1904) Jingle Fallacy and for his contributions to the Semantic Theory of Survey Response (STSR), which holds that results of surveys using attitude scales primarily measure the linguistic relationships between survey questions. Kai’s book on Automated Machine Learning was published by Oxford University Press in 2021. He was named as one of the 75 leading Academic Data Leaders of 2022 by CDO Magazine along with some of the world’s best computer scientists.

Kai has published papers in top journals of three disciplines, and his paper with Lee and Kozar is one of the top 5 most downloaded in the Association for Information Systems' electronic library. Kai and his students have developed several award-winning technologies currently in use by thousands of users, including INN and TheoryOn, and he manages the Theories Used in IS Wiki. As Director of the federally supported Human Behavior Project, he is conducting research to create a transdisciplinary "backbone" for theoretical research. Kai’s research uses natural language processing technologies to create an integrating framework for predictors of human behavior. The research has implications for our understanding of many human behaviors, including technology utilization, investor decisions, voter behaviors, and cancer prevention behaviors.

Kai is widely acknowledged as the best Sulfur-crested cockatoo trainer on his street of the Keewaydin Meadows Park neighborhood of Boulder, Co.

Awards

• David B. Balkin and Rosalind and Chester Barnow Endowed Innovative Teaching Award for 2023, Leeds School of Business, University of Colorado, Boulder
• National Institutes of Health, one year $355,000 grant to build an ontology of stress in collaboration with Don Edmondson of Columbia University Medical School. 2022-2023.
• The Kolb Teaching Award for 2022, Leeds School of Business, University of Colorado, Boulder
• Outstanding Faculty Mentor Award 2021-2022, University of Colorado, Boulder
• Herbert A. Simon Award for the Best Design Research Paper at the International Conference on Design Science Research in Information Systems and Technology (DESRIST) for 2020, “Validity in Design Science Research” (with Lukyanenko, Muller, Storey, VanderMeer, Parsons, and Hovorka).
• Best Paper Award for Association of Information Systems Americas Conference (AMCIS) for 2020, "Creating Construct Distance Maps with Machine Learning: Stargazing Trust" (with Gefen, Petter, and Eargle).
• INFORMS ISS Design Science Award for 2019 (with Jingjing Li and Ahmed Abbasi).
• Best Prototype Award, WITS, for TheoryOn: An Ontology-Based Search Engine (with Jingjing Li and Ahmed Abbasi). 2016.
• Association for Information Systems, Technology Challenge Award. 2015.
• Boulder Faculty Assembly Excellence in Teaching Award, 2006
• Joseph L. Franscona Teaching Excellence Award, 2005

Honors

• Professor, Information Systems, Faculty of Social Sciences, University of Agder, Norway. 2020- 

• Fellow, Institute of Behavioral Science, University of Colorado, Boulder. 2018-

• Research Advisor, the Gallup Organization. 2018-

• Associate Professor, Information Science. 2015-

Recent Refereed Papers and Books

• Jingjing Li, Kai R. Larsen, and Ahmed (in press), TheoryOn: A Design Framework and System for Unlocking Behavioral Knowledge Through Ontology Learning, MIS Quarterly.
• Kai R. Larsen and Daniel Becker, Automated Machine Learning for Business Accepted for Publication: Oxford University Press (2021).
• Kai R. Larsen, Dirk Hovorka, Jevin West, Alan Dennis (2019), Research Perspectives: Understanding the Elephant: A Discourse Approach to Corpus Identification for Theory Review Articles, Journal of the AIS.
• David Gefen and Kai R. Larsen (2017), Controlling for Lexical Closeness in Survey Research: A Demonstration on the Technology Acceptance Model, Journal of the AIS, 18(10), pp. 727-757.
• 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).

Education

• 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