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Article
On the Use of Neurophysiological Tools in IS Research: Developing a Research Agenda for NeuroIS
Management Information Systems Quarterly
  • Angelika Dimoka, Temple University
  • Rajiv Banker, Temple University
  • Izak Benbasat, University of British Columbia
  • Fred Davis, University of Arkansas & Sogang University
  • Alan R. Dennis, Indiana University
  • D Gefen, Drexel University
  • Alok Gupta, University of Minnesota
  • Anja Ischebeck, University of Graz
  • Peter Kenning, Zeppelin University
  • Paul A. Pavlou, Temple University
  • Gernot Muller-Putz, Graz University of Technology
  • René Riedl, University of Linz
  • Jan vom Brocke, University of Liechtenstein
  • Bernd Weber, University of Bonn
Publication Date
9-1-2012
Abstract
This article discusses the role of commonly used neurophysiological tools such as psychophysiological tools (e.g., EKG, eye tracking) and neuroimaging tools (e.g., fMRI, EEG) in Information Systems research. There is heated interest now in the social sciences in capturing presumably objective data directly from the human body, and this interest in neurophysiological tools has also been gaining momentum in IS research (termed NeuroIS). This article first reviews commonly used neurophysiological tools with regard to their major strengths and weaknesses. It then discusses several promising application areas and research questions where IS researchers can benefit from the use of neurophysiological data. The proposed research topics are presented within three thematic areas: (1) development and use of systems, (2) IS strategy and business outcomes, and (3) group work and decision support. The article concludes with recommendations on how to use neurophysiological tools in IS research along with a set of practical suggestions for developing a research agenda for NeuroIS and establishing NeuroIS as a viable subfield in the IS literature.
Citation Information
Angelika Dimoka, Rajiv Banker, Izak Benbasat, Fred Davis, et al.. "On the Use of Neurophysiological Tools in IS Research: Developing a Research Agenda for NeuroIS" (2012) p. 679 - 702
Available at: http://works.bepress.com/janvombrocke/10/