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Information Systems and Neuroscience pp 101–107Cite as

Physiological, Psychological, and Behavioral Measures in the Study of IS Phenomena: A Theoretical Analysis of Triangulation Strategies

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Part of the Lecture Notes in Information Systems and Organisation book series (LNISO,volume 25)

Abstract

Recent NeuroIS research has suggested that physiological measures could contribute to an improved explanation and prediction of IS phenomena. However, few studies have examined a combination of different kinds of measures, raising the question of how the propagated improvement in explaining and predicting IS phenomena can be achieved. Therefore, research is needed that sheds light on the interrelationship amongst physiological measures (i.e., NeuroIS), psychological measures (i.e., perceptual, self-report), and behavioral measures (i.e., directly observed behaviors). Drawing on the methodological triangulation approach, this research essay endorses the use of multiple measures in the study of IS phenomena, and it discusses two strategies that can be useful in this endeavor: convergent validation and holistic representation. The former aims to explain and predict variance in IS dependent variables with greater certainty, while the latter intends to increase the amount of variance explained. The essay concludes that—although both strategies have merit—holistic representation is where NeuroIS could play an especially important role.

Keywords

  • NeuroIS
  • Self-report
  • Perceptual
  • Behavioral
  • Physiological data

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Acknowledgements

This research was supported by the Social Sciences and Humanities Research Council of Canada.

Author information

Authors and Affiliations

  1. Department of Human Resources Management, HEC Montréal, Montréal, QC, Canada

    Kevin Hill

  2. Department of Information Technologies, HEC Montréal, Montréal, QC, Canada

    Stefan Tams

Authors
  1. Kevin Hill
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Corresponding author

Correspondence to Kevin Hill .

Editor information

Editors and Affiliations

  1. Information Systems and Quantitative Sciences (ISQS), Texas Tech University, Lubbock, Texas, USA

    Prof. Dr. Fred D. Davis

  2. University of Applied Sciences Upper Austria, Steyr, Oberösterreich, Austria

    Prof. Dr. René Riedl

  3. Department of Information Systems, University of Liechtenstein, Vaduz, Liechtenstein

    Prof. Dr. Jan vom Brocke

  4. Department of Information Technology, HEC Montréal, Montreal, Québec, Canada

    Dr. Pierre-Majorique Léger

  5. Department of Information Systems, Kennesaw State University, Kennesaw, Georgia, USA

    Prof. Dr. Adriane B. Randolph

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Hill, K., Tams, S. (2018). Physiological, Psychological, and Behavioral Measures in the Study of IS Phenomena: A Theoretical Analysis of Triangulation Strategies. In: Davis, F., Riedl, R., vom Brocke, J., Léger, PM., Randolph, A. (eds) Information Systems and Neuroscience. Lecture Notes in Information Systems and Organisation, vol 25. Springer, Cham. https://doi.org/10.1007/978-3-319-67431-5_12

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