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The fundamentals of performance measurement systems

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  • Kwee Keong Choong

Abstract

Purpose - – The purpose of this paper is to identify the fundamentals of a performance measurement system (PMS) as discussed in the literature for the past 32 years in an attempt to provide a research agenda (RA) for future research. Design/methodology/approach - – The paper uses a systematic review of the business, public and non-profit sector literature in examining what constitutes the fundamentals of PMS, and how these fundamentals have influenced the use of data (especially on non-financial data), development of measuring methods, measuring attributes and measuring process. Findings - – The paper finds that there are a small number of articles providing that can be considered to have provided substantial discussion of the fundamentals of PMS. While there is no consensus on what constitute the fundamentals of PMS, using content analysis, citation analysis and on the strict criteria of necessary and/or sufficient for the existence of a PMS, this paper managed to characterize the fundamentals into six categories. This paper found that the field of PMS has not change much during the past 30 or more years, and there remains various pragmatic and research gaps that need to be addressed. Practical implications - – The results, outcomes, and analysis of this paper have both practical and academic implications. The gaps and recommendations for future research is consolidated into a RA that provides practitioners to evaluate existing PMS, avoid issues and seek ways to develop a conceptual (theoretical) PMS that is of greater practical significance. Originality/value - – The results of this study contribute toward providing an update of the current state of development and research into PMS; and managed to identify existing practical issues and research gaps of PMS, and provided a RA on which ongoing and future research efforts on this topic can be built upon.

Suggested Citation

  • Kwee Keong Choong, 2014. "The fundamentals of performance measurement systems," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 63(7), pages 879-922, September.
  • Handle: RePEc:eme:ijppmp:v:63:y:2014:i:7:p:879-922
    DOI: 10.1108/IJPPM-01-2013-0015
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    Citations

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    Cited by:

    1. Marikka Heikkilä & Harry Bouwman & Jukka Heikkilä & Sam Solaimani & Wil Janssen, 2016. "Business model metrics: an open repository," Information Systems and e-Business Management, Springer, vol. 14(2), pages 337-366, May.
    2. Ilse Svensson de Jong, 2021. "When Wrong Is Right: Leaving Room for Error in Innovation Measurement," JRFM, MDPI, vol. 14(7), pages 1-14, July.

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