Fibonacci Hierarchies for Decision Making
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.
|Date of creation:||25 Feb 2010|
|Contact details of provider:|| Postal: Ludwigstraße 33, D-80539 Munich, Germany|
Web page: https://mpra.ub.uni-muenchen.de
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- René Brink & Frank Steffen, 2012.
"Axiomatizations of a positional power score and measure for hierarchies,"
Springer, vol. 151(3), pages 757-787, June.
- René van den Brink & Frank Steffen, 2008. "Axiomatizations of a Positional Power Score and Measure for Hierarchies," Tinbergen Institute Discussion Papers 08-115/1, Tinbergen Institute.
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)
If references are entirely missing, you can add them using this form.