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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Riedl, R., Banker, R.D., Benbasat, I., Davis, F.D., Dennis, A.R., Dimoka, A., Gefen, D., Gupta, A., Ischebeck, A., Kenning, P., Müller-Putz, G., Pavlou, P.A., Straub, D.W., vom Brocke, J., Weber, B.: On the foundations of NeuroIS: reflections on the Gmunden Retreat 2009. Commun. AIS. 27, 243–264
Dimoka, A., Pavlou, P.A., Davis, F.D.: NeuroIS: The potential of cognitive neuroscience for information systems research. Inf. Syst. Res. 22(4), 687–702 (2011)
Riedl, R., Davis, F., Hevner, A.: Towards a NeuroIS research methodology: intensifying the discussion on methods, tools, and measurement. J. Assoc. Inf. Syst. 15(10), i–xxxv (2014)
Denzin, N.K.: The research act: a theoretical introduction to sociological methods, 3rd edn. Prentice-Hall, United States of America (1989)
Jick, T.D.: Mixing qualitative and quantitative methods: triangulation in action. Adm. Sci. Q. 24(4), 602–611 (1979)
Campbell, D.T., Fiske, D.W.: Convergent and discriminant validation by the multitrait-multimethod matrix. Psychol. Bull. 56(2), 81–105 (1959)
de Guinea, A.O., Titah, R., Léger, P.: Measure for measure: a two study multi-trait multi-method investigation of construct validity in IS research. Comput. Hum. Behav. 29(3), 833–844 (2013)
Flick, U.: An introduction to qualitative research, 5th edn. Sage, Los Angeles (2014)
Mathison, S.: Why Triangulate? Educ. Researcher 17(2), 13–17 (1988)
Davidson, D.: Mental events. In Lycan, W.G., Prinz, J.J. (eds.), Mind and cognition, 3rd edn, pp. 55–65. Blackwell Publishing, Malden (2008)
Ho, S.Y., Bodoff, D.: The effects of web personalization on user attitude and behavior: an integration of the elaboration likelihood model and consumer search theory. MIS Q. 38(2), 497–520 (2014)
Ross, L., Nisbett, R.E.: The person and the situation: perspectives of social psychology. Pinter & Martin Publishers, London (2011)
Sapienza, P., Toldra-Simats, A., Zingales, L.: Understanding trust. Econ. J. 123(573), 1313–1332 (2013)
Greenwald, A.G., McGhee, D.E., Schwartz, J.L.K.: Measuring individual differences in implicit cognition: the implicit association test. J. Pers. Soc. Psychol. 74(6), 1464–1480 (1998)
Dovidio, J.F., Kawakami, K., Gaertner, S.L.: Implicit and explicit prejudice and interracial interaction. J. Pers. Soc. Psychol. 82(1), 62–68 (2002)
Nisbett, R.E., Wilson, T.D.: Telling more than we can know: verbal reports on mental processes. Psychol. Rev. 84(3), 231–259 (1977)
Tams, S., Hill, K., Ortiz de Guinea, A., Thatcher, J., Grover, V.: NeuroIS-Alternative or complement to existing methods? Illustrating the holistic effects of neuroscience and self-reported data in the context of technostress research. J. Assoc. Inf. Syst. 15(10), 723–753 (2014)
Huang, Y., Kuo, F., Luu, P., Tucker, D., Hsieh, P.: Hedonic evaluation can be automatically performed: An electroencephalography study of website impression across two cultures. Comput. Hum. Behav. 49, 138–146 (2015)
Riedl, R., Léger, P.-M.: Fundamentals of NeuroIS—Information Systems and the Brain. Springer-Verlag Berlin Heidelberg (2016)
Acknowledgements
This research was supported by the Social Sciences and Humanities Research Council of Canada.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-319-67431-5_12
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-67430-8
Online ISBN: 978-3-319-67431-5
eBook Packages: Business and ManagementBusiness and Management (R0)