Kai R. Larsen

  • Professor
  • ORGANIZATIONAL LEADERSHIP AND INFORMATION ANALYTICS
Kai Larson
Address

Koelbel - 455

Biography

Kai R. Larsen is a Professor of Information Systems in the division of Organizational Leadership and Information Analytics, Leeds School of Business, 麻豆影院. He is a courtesy faculty member in the Department of Information Science of the College of Media, Communication and Information, a Research Advisor to , and a Fellow of the . Kai is most known for providing a practical solution to Edward Thorndike's (1904)  and for his contributions to the  (STSR), which holds that results of surveys using attitude scales primarily measure the linguistic relationships between survey questions. Kai鈥檚 book on  was published by Oxford University Press in 2021. He was named as one of the 75  of 2022 by CDO Magazine along with some of the world鈥檚 best computer scientists, and one of the 50  of 2023 by Poets and Quants.

Kai has published papers in top journals of three disciplines, and his paper with Lee and Kozar is the third most downloaded in the Association for Information Systems' . Kai and his students have developed several award-winning technologies currently in use by thousands of users, including , and he manages the . As Director of the federally supported , he is conducting research to create a transdisciplinary "backbone" for theoretical research. Kai鈥檚 research uses large language models and 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 has several non-noteworthy accomplishments. He is the best Sulfur-crested Cockatoo trainer on his street (but also the only parrot owner), he voice-acted in The Atlantis II Disney Movie (but no one saw it), and at 23 he was on a team with Elon Musk for an entrepreneurship competition (but lost out to the 鈥渇oldable cabin鈥).

Awards

  • International Conference on Information Systems (ICIS) Nunamaker-Chen Best Design Science Paper Award, 2nd Runner Up for 2024.
  • Association for Information Systems Education Innovation Award for 2023
  • Poets and Quants 50 Best Undergraduate Business Professors of 2023 ()
  • David B. Balkin and Rosalind and Chester Barnow Endowed Innovative Teaching Award for 2023, Leeds School of Business, University of Colorado, 麻豆影院
  • 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, 麻豆影院
  • Outstanding Faculty Mentor Award 2021-2022, University of Colorado, 麻豆影院
  • 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, 鈥淰alidity in Design Science Research鈥 (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.
  • 麻豆影院 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, 麻豆影院. 2018-
  • Research Advisor, the Gallup Organization. 2018-
  • Associate Professor, Information Science. 2015-

Recent Papers and Books

  • Larsen, K.R., Lukyanenko, R., Mueller, R.M., Storey, V.C., Parsons, J., Vander Meer, D., Hovorka, D.S. (forthcoming), Validity in Design Science, MIS Quarterly.
  • Larsen, K.R. (2023), 鈥淔eeding, Observing, and Changing the Machine: The New Role of Researchers in the Era of Artificial General Intelligence?鈥 in Andrew Burton-Jones 鈥淓diting Innovation in MIS Quarterly,鈥 MIS Quarterly, 47(3) pp. vii-ix.
  • Kai R. Larsen and Daniel Becker, Automated Machine Learning for Business Accepted for Publication: Oxford University Press (2021).
  • Jingjing Li, Kai R. Larsen, and Ahmed Abbasi (2020), TheoryOn: A Design Framework and System for Unlocking Behavioral Knowledge Through Ontology Learning, MIS Quarterly.
  • 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).

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