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Research Commentary ---NeuroIS: The Potential of Cognitive Neuroscience for Information Systems Research

Author

Listed:
  • Angelika Dimoka

    (Fox School of Business, Temple University, Philadelphia, Pennsylvania 19122)

  • Paul A. Pavlou

    (Fox School of Business, Temple University, Philadelphia, Pennsylvania 19122)

  • Fred D. Davis

    (Sam M. Walton College of Business, University of Arkansas, Fayetteville, Arkansas 72701)

Abstract

This paper introduces the idea of drawing upon the cognitive neuroscience literature to inform IS research (herein termed “NeuroIS”). Recent advances in cognitive neuroscience are uncovering the neural bases of cognitive, emotional, and social processes, and they offer new insights into the complex interplay between IT and information processing, decision making, and behavior among people, organizations, and markets.The paper reviews the emerging cognitive neuroscience literature to propose a set of seven opportunities that IS researchers can use to inform IS phenomena, namely (1) localizing the neural correlates of IS constructs, (2) capturing hidden mental processes, (3) complementing existing sources of IS data with brain data, (4) identifying antecedents of IS constructs, (5) testing consequences of IS constructs, (6) inferring the temporal ordering among IS constructs, and (7) challenging assumptions and enhancing IS theories.The paper proposes a framework for exploring the potential of cognitive neuroscience for IS research and offers examples of potentially fertile intersections of cognitive neuroscience and IS research in the domains of design science and human-computer interaction. This is followed by an example NeuroIS study in the context of e-commerce adoption using fMRI, which spawns interesting new insights. The challenges of using functional neuroimaging tools are also discussed. The paper concludes that there is considerable potential for using cognitive neuroscience theories and functional brain imaging tools in IS research to enhance IS theories.

Suggested Citation

  • Angelika Dimoka & Paul A. Pavlou & Fred D. Davis, 2011. "Research Commentary ---NeuroIS: The Potential of Cognitive Neuroscience for Information Systems Research," Information Systems Research, INFORMS, vol. 22(4), pages 687-702, December.
    • Handle: RePEc:inm:orisre:v:22:y:2011:i:4:p:687-702
    DOI: 10.1287/isre.1100.0284
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    References listed on IDEAS

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    Cited by:

    1. Casado-Aranda, Luis-Alberto & Liébana-Cabanillas, Francisco & Sánchez-Fernández, Juan, 2018. "A Neuropsychological Study on How Consumers Process Risky and Secure E-payments," Journal of Interactive Marketing, Elsevier, vol. 43(C), pages 151-164.
    2. Casado-Aranda, Luis-Alberto & Dimoka, Angelika & Sánchez-Fernández, Juan, 2019. "Consumer Processing of Online Trust Signals: A Neuroimaging Study," Journal of Interactive Marketing, Elsevier, vol. 47(C), pages 159-180.
    3. Patrick Mikalef & Kshitij Sharma & Ilias O. Pappas & Michail Giannakos, 2021. "Seeking Information on Social Commerce: An Examination of the Impact of User- and Marketer-generated Content Through an Eye-tracking Study," Information Systems Frontiers, Springer, vol. 23(5), pages 1273-1286, September.
    4. Matt Germonprez & Julie E. Kendall & Kenneth E. Kendall & Lars Mathiassen & Brett Young & Brian Warner, 2017. "A Theory of Responsive Design: A Field Study of Corporate Engagement with Open Source Communities," Information Systems Research, INFORMS, vol. 28(1), pages 64-83, March.
    5. Tibert Verhagen & Daniel Bloemers, 2018. "Exploring the cognitive and affective bases of online purchase intentions: a hierarchical test across product types," Electronic Commerce Research, Springer, vol. 18(3), pages 537-561, September.
    6. Marta Ballatore & Lise Arena & Agnès Festré, 2020. "The Use of Experimental Methods by IS Scholars: An Illustrated Typology," Post-Print halshs-02866756, HAL.
    7. Jeffrey L. Jenkins & Bonnie Brinton Anderson & Anthony Vance & C. Brock Kirwan & David Eargle, 2016. "More Harm Than Good? How Messages That Interrupt Can Make Us Vulnerable," Information Systems Research, INFORMS, vol. 27(4), pages 880-896, December.
    8. Crystal Reeck & Xue Guo & Angelika Dimoka & Paul A. Pavlou, 2024. "Uncovering the Neural Processes of Privacy: A Neurally Informed Behavioral Intervention to Protect Information Privacy," Information Systems Research, INFORMS, vol. 35(2), pages 727-746, June.
    9. Patrick Mikalef & Kshitij Sharma & Ilias O. Pappas & Michail Giannakos, 0. "Seeking Information on Social Commerce: An Examination of the Impact of User- and Marketer-generated Content Through an Eye-tracking Study," Information Systems Frontiers, Springer, vol. 0, pages 1-14.
    10. Pankush Kalgotra & Ramesh Sharda & Roger McHaney, 2019. "Don’t Disturb Me! Understanding the Impact of Interruptions on Knowledge Work: an Exploratory Neuroimaging Study," Information Systems Frontiers, Springer, vol. 21(5), pages 1019-1030, October.
    11. Lutz, Bernhard & Pröllochs, Nicolas & Neumann, Dirk, 2022. "Are longer reviews always more helpful? Disentangling the interplay between review length and line of argumentation," Journal of Business Research, Elsevier, vol. 144(C), pages 888-901.

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