A decision aid for finding performance groups
Purpose - Finding groups of similarly performing organizations for strategic or tactical performance comparison has typically been done by either cluster or frontier analysis. Both present problems of definition and interpretation. Given the inevitable abstraction of any model it is desirable that as much as possible of the model specification be in easily understood language and that, where appropriate, the ambiguity of the model is recognised by giving a number of equally good solutions. Design/methodology/approach - Two linked optimisations find the minimum number of groups and the distribution of group sizes which identifies large groups, if they exist. A number of alternative optimal solutions are generated and must be considered in the final synthesis. The method is illustrated by finding performance groups among thirty five international airports. Findings - Sixteen alternative optimal solutions, each of twelve groups, are found. Two thirds of the airports were found in the same groups in all solutions, forming the robust core. Of the remainder, a solution was chosen and justified on the grounds of similarity of country and jurisdiction. Practical implications - The model changes the focus of analysis from one of reacting to apparent patterns in the result of an analysis to one in which careful thought is given about the definitions of group which reflect the point of view of the user. Originality/value - The article illustrates how a novel methodology forms a decision aid for finding performance groups in which due scope is given for the interpretation of equally good solutions.
Jessop, A. (2012). A decision aid for finding performance groups. Benchmarking: An International Journal, 19(3), 325-339. https://doi.org/10.1108/14635771211242987
|Journal Article Type||Article|
|Publication Date||Jan 1, 2012|
|Deposit Date||May 5, 2011|
|Publicly Available Date||Jan 9, 2013|
|Journal||Benchmarking: an international journal.|
|Peer Reviewed||Peer Reviewed|
|Keywords||Airlines, Benchmarking, Performance, Strategy.|
Accepted Journal Article
This article is (c) Emerald Group Publishing and permission has been granted for this version to appear here (http://dx.doi.org/10.1108/14635771211242987. Emerald does not grant permission for this article to be further copied/distributed or hosted elsewhere without the express permission from Emerald Group Publishing Limited.'
You might also like
Using imprecise estimates for weights
An Optimising Approach to Alternative Clustering Schemes
A Portfolio Model for Performance Assessment: the Financial Times MBA ranking
A multicriteria blockmodel for performance assessment.