IMPROVEMENTS TOWARDS THE IDENTIFICATION AND QUANTIFICATION OF RELATIONSHIPS BETWEEN KEY PERFORMANCE INDICATORS

The quantitative relationships at the performance measurement system (QRPMS) is a methodology for identifying and quantifying relationships between key performance indicators. These relationships present additional information for decision-making purposes. QRPMS employs the Guttman-Kaiser criterion...

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Main Authors: Jooste, Johannes Lodewyk, Botha, Louis Jona
Format: Article
Language:English
Published: Stellenbosch University 2018-08-01
Series:South African Journal of Industrial Engineering
Subjects:
Online Access:http://sajie.journals.ac.za/pub/article/view/1872
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spelling doaj-cbc8f554c0634b0d815c6338580619452020-11-25T03:45:20ZengStellenbosch UniversitySouth African Journal of Industrial Engineering1012-277X2224-78902018-08-012929210110.7166/29-2-1872IMPROVEMENTS TOWARDS THE IDENTIFICATION AND QUANTIFICATION OF RELATIONSHIPS BETWEEN KEY PERFORMANCE INDICATORSJooste, Johannes Lodewyk 0Botha, Louis Jona 1Stellenbosch University, South AfricaStellenbosch University, South AfricaThe quantitative relationships at the performance measurement system (QRPMS) is a methodology for identifying and quantifying relationships between key performance indicators. These relationships present additional information for decision-making purposes. QRPMS employs the Guttman-Kaiser criterion (K1) to complete a critical step during the methodology. This study presents evidence that the K1 criterion has limitations that compromise the reliability of QRPMS’s results. An improved QRPMS version is developed, and the results of the existing and improved QRPMS are compared in a mining industry case study. It is shown that the improved QRPMS delivers more accurate and reliable results.http://sajie.journals.ac.za/pub/article/view/1872key performance indicator relationshipsperformance measurementprinciple component analysisqrpms
collection DOAJ
language English
format Article
sources DOAJ
author Jooste, Johannes Lodewyk
Botha, Louis Jona
spellingShingle Jooste, Johannes Lodewyk
Botha, Louis Jona
IMPROVEMENTS TOWARDS THE IDENTIFICATION AND QUANTIFICATION OF RELATIONSHIPS BETWEEN KEY PERFORMANCE INDICATORS
South African Journal of Industrial Engineering
key performance indicator relationships
performance measurement
principle component analysis
qrpms
author_facet Jooste, Johannes Lodewyk
Botha, Louis Jona
author_sort Jooste, Johannes Lodewyk
title IMPROVEMENTS TOWARDS THE IDENTIFICATION AND QUANTIFICATION OF RELATIONSHIPS BETWEEN KEY PERFORMANCE INDICATORS
title_short IMPROVEMENTS TOWARDS THE IDENTIFICATION AND QUANTIFICATION OF RELATIONSHIPS BETWEEN KEY PERFORMANCE INDICATORS
title_full IMPROVEMENTS TOWARDS THE IDENTIFICATION AND QUANTIFICATION OF RELATIONSHIPS BETWEEN KEY PERFORMANCE INDICATORS
title_fullStr IMPROVEMENTS TOWARDS THE IDENTIFICATION AND QUANTIFICATION OF RELATIONSHIPS BETWEEN KEY PERFORMANCE INDICATORS
title_full_unstemmed IMPROVEMENTS TOWARDS THE IDENTIFICATION AND QUANTIFICATION OF RELATIONSHIPS BETWEEN KEY PERFORMANCE INDICATORS
title_sort improvements towards the identification and quantification of relationships between key performance indicators
publisher Stellenbosch University
series South African Journal of Industrial Engineering
issn 1012-277X
2224-7890
publishDate 2018-08-01
description The quantitative relationships at the performance measurement system (QRPMS) is a methodology for identifying and quantifying relationships between key performance indicators. These relationships present additional information for decision-making purposes. QRPMS employs the Guttman-Kaiser criterion (K1) to complete a critical step during the methodology. This study presents evidence that the K1 criterion has limitations that compromise the reliability of QRPMS’s results. An improved QRPMS version is developed, and the results of the existing and improved QRPMS are compared in a mining industry case study. It is shown that the improved QRPMS delivers more accurate and reliable results.
topic key performance indicator relationships
performance measurement
principle component analysis
qrpms
url http://sajie.journals.ac.za/pub/article/view/1872
work_keys_str_mv AT joostejohanneslodewyk improvementstowardstheidentificationandquantificationofrelationshipsbetweenkeyperformanceindicators
AT bothalouisjona improvementstowardstheidentificationandquantificationofrelationshipsbetweenkeyperformanceindicators
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