On the Use of Neuropyhsiological Tools in IS Research: Developing a Research Agenda for NeuroIS

By Angelika Dimoka, Rajiv D. Banker, Izak Benbasat, Fred D. Davis, Alan R. Dennis, David Gefen, Alok Gupta, A. Ischebeck, Peter Kenning, Paul A. Pavlou and 4 more. MIS Q., 2012

310 citations recorded by the source corpus.

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.

Subfields: Communication, Information Systems and Management

View Paper: https://www.semanticscholar.org/paper/b338106721a6c246390563431d517048782dd04c

How researchers see this paper

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In Communication

  1. Paul Benjamin Lowry
  2. Qing Hu
  3. Merrill Warkentin
  4. Allen C. Johnston
  5. Richard L. Baskerville
  6. Robert E. Crossler

In Information Systems and Management

  1. Paul Benjamin Lowry
  2. Qing Hu
  3. Merrill Warkentin
  4. Allen C. Johnston
  5. Jan vom Brocke
  6. Richard L. Baskerville
  7. Robert E. Crossler
  8. Tom L. Roberts Jr.

Citations in the corpus