IDEAS home Printed from https://ideas.repec.org/h/spr/lnichp/978-3-319-67431-5_18.html
   My bibliography  Save this book chapter

Decision Inertia and Arousal: Using NeuroIS to Analyze Bio-Physiological Correlates of Decision Inertia in a Dual-Choice Paradigm

In: Information Systems and Neuroscience

Author

Listed:
  • Dominik Jung

    (Karlsruhe Institute of Technology (KIT))

  • Verena Dorner

    (Karlsruhe Institute of Technology (KIT))

Abstract

Decision inertia is a cognitive process describing the reluctance to incorporate new information in choices, manifesting in the tendency to repeat previous choices regardless of the consequences. In this work, we discuss recent research in decision inertia, and show that inter-individual differences in arousal may play an important role for understanding decision inertia. We derive a NeuroIS framework for the operationalization of decision inertia, and discuss our conceptualization with a view towards a general theory of decision inertia.

Suggested Citation

  • Dominik Jung & Verena Dorner, 2018. "Decision Inertia and Arousal: Using NeuroIS to Analyze Bio-Physiological Correlates of Decision Inertia in a Dual-Choice Paradigm," Lecture Notes in Information Systems and Organization, in: Fred D. Davis & René Riedl & Jan vom Brocke & Pierre-Majorique Léger & Adriane B. Randolph (ed.), Information Systems and Neuroscience, pages 159-166, Springer.
    • Handle: RePEc:spr:lnichp:978-3-319-67431-5_18
    DOI: 10.1007/978-3-319-67431-5_18
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Simon Kloker & Tim Straub & Christof Weinhardt, 2019. "Moderators for Partition Dependence in Prediction Markets," Group Decision and Negotiation, Springer, vol. 28(4), pages 723-756, August.
    2. Simon Kloker, 2020. "Non-addictive Information Systems," Information Systems Frontiers, Springer, vol. 22(3), pages 549-562, June.
    3. Simon Kloker, 0. "Non-addictive Information Systems," Information Systems Frontiers, Springer, vol. 0, pages 1-14.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:lnichp:978-3-319-67431-5_18. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.