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Enriching descriptive information in ranking and sorting problems with visualizations techniques

Enriching descriptive information in ranking and sorting problems with visualizations techniques Purpose – Most of the proposed decision aid methods provide the user only with a prescriptive approach (quantitative analysis) without any descriptive approach (qualitative analysis). It is therefore not possible to justify and recommend ways of improvement. The purpose of this paper is to introduce visualization techniques to complement prescriptive approaches. Design/methodology/approach – Visual techniques have been developed for the FlowSort sorting method, namely the FS‐GAIA and stacked bar diagrams. Findings – It is found that with visual techniques, fine details can be captured, e.g. detection of incomparability (with FS‐GAIA) and the composition of a score (with stacked bar diagrams). Research limitations/implications – In the future, it is expected that other multi‐criteria decision methods will be complemented by prescriptive approaches. Practical implications – A real case study is introduced in order to illustrate the practicality of the visual techniques. In this paper, the innovation performances of small and medium enterprises from the French Lorraine region are assessed. Social implications – It is expected that the quality of the decisions taken are improved because of being better informed. Originality/value – The paper, using a real case study, provides important new tools to enhance decision quality. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Modelling in Management Emerald Publishing

Enriching descriptive information in ranking and sorting problems with visualizations techniques

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References (24)

Publisher
Emerald Publishing
Copyright
Copyright © 2012 Emerald Group Publishing Limited. All rights reserved.
ISSN
1746-5664
DOI
10.1108/17465661211242778
Publisher site
See Article on Publisher Site

Abstract

Purpose – Most of the proposed decision aid methods provide the user only with a prescriptive approach (quantitative analysis) without any descriptive approach (qualitative analysis). It is therefore not possible to justify and recommend ways of improvement. The purpose of this paper is to introduce visualization techniques to complement prescriptive approaches. Design/methodology/approach – Visual techniques have been developed for the FlowSort sorting method, namely the FS‐GAIA and stacked bar diagrams. Findings – It is found that with visual techniques, fine details can be captured, e.g. detection of incomparability (with FS‐GAIA) and the composition of a score (with stacked bar diagrams). Research limitations/implications – In the future, it is expected that other multi‐criteria decision methods will be complemented by prescriptive approaches. Practical implications – A real case study is introduced in order to illustrate the practicality of the visual techniques. In this paper, the innovation performances of small and medium enterprises from the French Lorraine region are assessed. Social implications – It is expected that the quality of the decisions taken are improved because of being better informed. Originality/value – The paper, using a real case study, provides important new tools to enhance decision quality.

Journal

Journal of Modelling in ManagementEmerald Publishing

Published: Jun 29, 2012

Keywords: France; Small to medium‐sized enterprises; Decision making; Classification; Information; Multicriteria decision aid; Sorting; Visualisation; Graphical Analysis for Interactive Assistance; Preference Ranking Organisation Method for Enrichment Evaluations; FlowSort

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