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Introduction of evidential contribution measures for the input variables used in a CaRBS based analysis: an application in strategic consensus

Beynon, Malcolm James and Andrews, Rhys William 2011. Introduction of evidential contribution measures for the input variables used in a CaRBS based analysis: an application in strategic consensus. Expert Systems with Applications 38 (1) , pp. 47-57. 10.1016/j.eswa.2010.06.005

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Abstract

CaRBS (Classification and Ranking Belief Simplex) is a novel technique for object classification, which, due to its reliance on the Dempster–Shafer theory of evidence, can operate in the presence of ignorance and ambiguity (uncertain reasoning). In this article, we further the introduction of the CaRBS technique with the development of new measures that quantify the evidential contribution of input variables in terms of the belief that can be assigned to objects being associated with a hypothesis and not-the-hypothesis. The analysis described in the article utilises CaRBS to explore an important management issue: intra-organizational consensus on strategic priorities. Results depicting the contribution of organizational structure, process and environment to the relative degree of strategic consensus within a large public service organization are derived. The efficacy of the introduced measures is then illustrated through comparisons with results from a series of logistic regression and neural network models.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Business (Including Economics)
Subjects: H Social Sciences > HB Economic Theory
H Social Sciences > HD Industries. Land use. Labor
H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
H Social Sciences > HF Commerce
Uncontrolled Keywords: CaRBS ; Dempster–Shafer theory ; Evidential contribution ; Strategic consensus
Publisher: Elsevier
ISSN: 0957-4174
Last Modified: 04 Jun 2017 03:16
URI: http://orca.cf.ac.uk/id/eprint/19024

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