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NeuroIS to Improve the FITradeoff Decision-Making Process and Decision Support System

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Information Systems and Neuroscience (NeuroIS 2020)

Part of the book series: Lecture Notes in Information Systems and Organisation ((LNISO,volume 43))

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Abstract

NeuroIS approach is used in this research in order to improve the decision-making process and the Decision Support System (DSS), which is a particular kind of information system, for the FITradeoff method. In this research the decision-makers (DMs) behavior is investigated when they are solving Multi-Criteria Decision Making/Aiding problems, considering the holistic evaluation process. In this research, neuroscience experiments were constructed to investigate the holistic evaluation process using graphical and tabular visualizations. These experiments were applied to more than 150 management engineering students. As a result, using an electroencephalogram, the Alpha-Theta Diagram has been proposed, which is a new concept to classify the DMs patterns of behavior, considering Theta (4–8 Hz) and Alpha (8–13 Hz) activities. Based on this diagram, improvements can be suggested to be included in the FITradeoff DSS specially for problems involved in a ranking order context.

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Acknowledgements

This project was supported by the National Council for Scientific and Technological Development (CNPq) and Coordination for the Improvement of Higher Education Personnel (CAPES).

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Authors and Affiliations

  1. Center for Decision Systems and Information Development (CDSID), Universidade Federal de Pernambuco, Recife, PE, Brazil

    Adiel Teixeira de Almeida & Lucia Reis Peixoto Roselli

Authors
  1. Adiel Teixeira de Almeida
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  2. Lucia Reis Peixoto Roselli
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Corresponding author

Correspondence to Adiel Teixeira de Almeida .

Editor information

Editors and Affiliations

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

    Fred D. Davis

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

    René Riedl

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

    Jan vom Brocke

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

    Pierre-Majorique Léger

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

    Adriane B. Randolph

  6. Department for Digital Business, University of Applied Sciences Upper Austria, Steyr, Austria

    Thomas Fischer

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de Almeida, A.T., Roselli, L.R.P. (2020). NeuroIS to Improve the FITradeoff Decision-Making Process and Decision Support System. In: Davis, F.D., Riedl, R., vom Brocke, J., Léger, PM., Randolph, A.B., Fischer, T. (eds) Information Systems and Neuroscience. NeuroIS 2020. Lecture Notes in Information Systems and Organisation, vol 43. Springer, Cham. https://doi.org/10.1007/978-3-030-60073-0_13

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  • DOI: https://doi.org/10.1007/978-3-030-60073-0_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-60072-3

  • Online ISBN: 978-3-030-60073-0

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