KPIs target adjustment based on trade-off evaluation using fuzzy cognitive maps

Ibrahim Y. Sokar, Mohd. Yusoff Jamaluddin, Mardina Abdullah, Zayed Alarabi Khalifa

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Continued improvement of performance has become a real challenge for most companies and organization. This paper presents a framework using Fuzzy Cognitive Maps (FCM) method to quantitatively analyze the influence and relationship among the KPIs used to monitor performance. The proposed method can help the top management and decision-makers to identify the improvement behavior of one Key Performance Indicator (KPI) target on the other KPIs and in the Performance Management System (PMS) as whole. A different scenario was conducted in one of the engineering organizations to analyze the interconnections between the KPIs and the impact of changing the targets. Fuzzy Cognitive Maps have been fruitfully used in decision making and simulation of complex PMS and help the management in order to adjust targets of performance.

Original languageEnglish
Pages (from-to)2048-2053
Number of pages6
JournalAustralian Journal of Basic and Applied Sciences
Volume5
Issue number12
Publication statusPublished - Dec 2011

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Decision making
Industry

Keywords

  • Fuzzy cognitive maps
  • KPIs
  • PMS
  • Trade-off

ASJC Scopus subject areas

  • General

Cite this

KPIs target adjustment based on trade-off evaluation using fuzzy cognitive maps. / Sokar, Ibrahim Y.; Jamaluddin, Mohd. Yusoff; Abdullah, Mardina; Khalifa, Zayed Alarabi.

In: Australian Journal of Basic and Applied Sciences, Vol. 5, No. 12, 12.2011, p. 2048-2053.

Research output: Contribution to journalArticle

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