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Designing a Performance Measurement Systemperformance measurement system

In: Designing Performance Measurement Systems

Author

Listed:
  • Fiorenzo Franceschini

    (Politecnico di Torino)

  • Maurizio Galetto

    (Politecnico di Torino)

  • Domenico Maisano

    (Politecnico di Torino)

Abstract

The present chapter discusses a core problem of quality management for organizations: establishing and maintaining a performance measurement system. Flowing from the mission and strategic planning of one organization, a performance measurement system is supposed to include the data to collect, analyze, report and, finally, use to make sound business decisions. The remainder of this chapter is divided into eight sections. Sections 5.1 and 5.2 present the basic characteristics of an integrated performance measurement system. Section 5.3 discusses some popular approaches to develop performance measurement systemsperformance measurement systemdevelopment: the Balanced ScorecardBalanced Scorecard, the Critical FewCritical Few, the Performance Dashboards, and the EFQMEuropean Foundation for Quality Management (EFQM) model. Description is supported by the use of practical examples. Sections 5.4, 5.5 and 5.6 discuss how to develop/synthesise indicators and maintain an effective performance measurement systemperformance measurement systemmaintaining. Sections 5.7 and 5.8 deal with the possible misuse of indicators and their impactimpact on organizations.

Suggested Citation

  • Fiorenzo Franceschini & Maurizio Galetto & Domenico Maisano, 2019. "Designing a Performance Measurement Systemperformance measurement system," Management for Professionals, in: Designing Performance Measurement Systems, chapter 5, pages 133-205, Springer.
    • Handle: RePEc:spr:mgmchp:978-3-030-01192-5_5
    DOI: 10.1007/978-3-030-01192-5_5
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    Cited by:

    1. György Kovács, 2023. "Development of New Mathematical Methods and Software Applications for More Efficient and Sustainable Road Freight Transportation," Sustainability, MDPI, vol. 15(23), pages 1-20, November.
    2. Robert Idlbek & Verica Budimir, 2023. "The Role Of Iot Data Aggregators For Optimising Object Tracking And Kpi Monitoring," Business Logistics in Modern Management, Josip Juraj Strossmayer University of Osijek, Faculty of Economics, Croatia, vol. 23, pages 451-467.

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