Improving the performance of a performance measure
Stefan G. Tangen
Abstract
Stefan G. Tangen
Abstract
Purpose The purpose of this paper is to discuss how to design an individual performance measure, which usually means the measurement practitioner must deal with many requirements other than the ones that can be found when designing a complete performance measurement system. Design/methodology/approach Different requirements suggested in the performance measurement literature from the past 20 years have been sorted out in order to structure the different tasks to conduct when designing a measure. Findings Explains how to form or select a formula that fulfils the purpose of a measure. Defines 15 parameters that fully specify a measure. Clarifies positive and negative measure properties. Practical implications Measurement regimes are often built without a clear understanding of what is being measured. The article includes several practical tools that can be used when designing a performance measure. Originality/value Discusses the question “how to measure?”, while most of past research in the field has been aimed at solving “what to measure?”.
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Purpose The purpose of this paper is to discuss how to design an individual performance measure, which usually means the measurement practitioner must deal with many requirements other than the ones that can be found when designing a complete performance measurement system. Design/methodology/approach Different requirements suggested in the performance measurement literature from the past 20 years have been sorted out in order to structure the different tasks to conduct when designing a measure. Findings Explains how to form or select a formula that fulfils the purpose of a measure. Defines 15 parameters that fully specify a measure. Clarifies positive and negative measure properties. Practical implications Measurement regimes are often built without a clear understanding of what is being measured. The article includes several practical tools that can be used when designing a performance measure. Originality/value Discusses the question “how to measure?”, while most of past research in the field has been aimed at solving “what to measure?”.
Key concepts: Measure (data warehouse), Computer science, Performance measurement, Field (mathematics), Originality, Value (mathematics), Industrial engineering, Data mining