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Classifying FM organisations using pattern recognition

Sezgin Kaya (Centre for Facilities Management, University of Salford, Research Institute for the Built and Human Environment, Salford, UK)
Keith Alexander (Centre for Facilities Management, University of Salford, Research Institute for the Built and Human Environment, Salford, UK)

Facilities

ISSN: 0263-2772

Article publication date: 1 November 2005

1191

Abstract

Purpose

To demonstrate the unintended negative results of the current rationale for classifying client FM organisations and suggest a classification system that can systematically group FM organisations.

Design/methodology/approach

Develops a classification model consisting of ten patterns built on the suggestions from the previous empirical studies for client FM organisations. It then applies these patterns onto 22 in‐house FM organisations in the UK using the pattern recognition's unsupervised clustering for measuring the similarities in the sample population. This results in a detailed examination of the applicability and the validity of the classification system.

Findings

Three classes were found, two of which (Class 1 and 3) include mixed market sectors, while the other involves only healthcare FM organisations. The features of these classes are explained and the further use of the classification system is demonstrated and discussed.

Research limitations/implications

The sample population including 22 client FM organisations is not an exhaustive list that can represent all FM organisations in general.

Originality/value

The suggested classification system adds value to the current market sector based classification by introducing ten patterns of FMO, used for measuring the similarities and dissimilarities of FM organisations.

Keywords

Citation

Kaya, S. and Alexander, K. (2005), "Classifying FM organisations using pattern recognition", Facilities, Vol. 23 No. 13/14, pp. 570-584. https://doi.org/10.1108/02632770510627552

Publisher

:

Emerald Group Publishing Limited

Copyright © 2005, Emerald Group Publishing Limited

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