IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/20973.html
   My bibliography  Save this paper

Fibonacci Hierarchies for Decision Making

Author

Listed:
  • Yucel, Eray
  • Tokel, Emre

Abstract

All decisions are practically made within a chainwise social setup named a decision-making chain (DMC). This paper considers some cases of an idea (a project proposal) propagating through an organizational DMC. Survival of a proposal through successive links of the DMC depends on the relative power of those links, in addition to proposal’s intrinsic value. Then it is not impossible to reject a good proposal or to fail to reject a bad proposal, either of which may generate undesired, though not detrimental, outcomes. We consider here a simple metric to assess quality of decision-making. The notion of quality here derives from “not declining (not accepting) a project that is of high (poor) intrinsic value”. As Fibonacci series establish the mathematical basis of our proposed metric, metric is simply named a Fibonacci metric.

Suggested Citation

  • Yucel, Eray & Tokel, Emre, 2010. "Fibonacci Hierarchies for Decision Making," MPRA Paper 20973, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:20973
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/20973/1/MPRA_paper_20973.pdf
    File Function: original version
    Download Restriction: no

    References listed on IDEAS

    as
    1. René Brink & Frank Steffen, 2012. "Axiomatizations of a positional power score and measure for hierarchies," Public Choice, Springer, vol. 151(3), pages 757-787, June.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Decision making chains; Innovation; Fairness metric; Fibonacci series;

    JEL classification:

    • Z1 - Other Special Topics - - Cultural Economics
    • C00 - Mathematical and Quantitative Methods - - General - - - General
    • A1 - General Economics and Teaching - - General Economics

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:pra:mprapa:20973. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joachim Winter) or (Rebekah McClure). General contact details of provider: http://edirc.repec.org/data/vfmunde.html .

    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.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.