IDEAS home Printed from https://ideas.repec.org/h/spr/ihichp/978-3-540-48713-5_1.html
   My bibliography  Save this book chapter

The Decision-Making Process in a Complex Situation

In: Handbook on Decision Support Systems 1

Author

Listed:
  • Alex Bennet

    (Mountain Quest Institute)

  • David Bennet

    (Mountain Quest Institute)

Abstract

While all decisions are a guess about the future, as complexity builds upon complexity, decision-makers must increasingly rely on their intuition and judgment. This chapter explores the decision-making process for a complex situation in a complex environment in terms of laying the groundwork for decision-making, understanding and exploring complex situations, discussing human additive factors, preparing for the decision process, and mechanisms for influencing complex situations. Laying the groundwork introduces the concepts of emergence, the butterfly effect, the tipping point, feedback loops and power laws. Mechanisms for influencing complex situations include structural adaptation, boundary management, absorption, optimum complexity, simplification, sense and respond, amplification, and seeding. The challenge becomes the ability to integrate logical processes and intuition…

Suggested Citation

  • Alex Bennet & David Bennet, 2008. "The Decision-Making Process in a Complex Situation," International Handbooks on Information Systems, in: Handbook on Decision Support Systems 1, chapter 1, pages 3-20, Springer.
  • Handle: RePEc:spr:ihichp:978-3-540-48713-5_1
    DOI: 10.1007/978-3-540-48713-5_1
    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. Carolyn Mann & Kate Sherren, 2018. "Holistic Management and Adaptive Grazing: A Trainers’ View," Sustainability, MDPI, vol. 10(6), pages 1-19, June.
    2. Murat Özkaya & Burhaneddin İzgi & Matjaž Perc, 2022. "Axioms of Decision Criteria for 3D Matrix Games and Their Applications," Mathematics, MDPI, vol. 10(23), pages 1-20, November.
    3. Victor G. Alfaro-Garcia & Fabio Blanco-Mesa & Ernesto León-Castro & Jose M. Merigo, 2022. "Bonferroni Weighted Logarithmic Averaging Distance Operator Applied to Investment Selection Decision Making," Mathematics, MDPI, vol. 10(12), pages 1-13, June.

    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:ihichp:978-3-540-48713-5_1. 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.