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Measurement madness : recognizing and avoiding the pitfalls of performance measurement /

"The ultimate guide to performance management and how to avoid the often bizarre unintended consequences of KPIsThe results of well-intended performance measurement are sometimes bizarre and bewildering. World leaders in business performance, the authors of Measurement Madness have amassed a we...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Gray, Dina (Autor), Martinez, Veronica (Autor), Micheli, Pietro, 1978- (Autor), Pavlov, Andrey, 1981- (Autor), Franco-Santos, Monica (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken : John Wiley & Sons, 2014.
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Cover
  • Title Page
  • Copyright
  • Contents
  • Part I Introduction
  • Chapter 1 The Road to Insanity
  • Chapter 2 Performance and Measurement
  • What is performance measurement?
  • What is performance?
  • What is measurement?
  • Getting the number or changing the behaviour?
  • Part II Performance Measurement
  • Chapter 3 Measurement for Measurement's Sake
  • Making things measurable
  • Measures and more measures
  • Competitive measuring
  • Sticky measures
  • Conflicting measures
  • Losing the link to performance
  • Excessive reliance on measures
  • Fixating on measures
  • Getting desensitized to numbers
  • Getting lost in performance data
  • Paying the price
  • Preventing learning and change
  • Learning points
  • Deciding what to measure
  • Designing a robust indicator
  • Managing with measures
  • And finally ...
  • Chapter 4 All I Need is the Right Measure!
  • How difficult can this be?
  • What's in a name?
  • Knowing the purpose
  • Poor relations
  • It's in the formula
  • Frequency
  • Where does the data come from?
  • What will you do with the results?
  • How strong are your indicators?
  • Is the indicator measuring what it is meant to measure?
  • Is the indicator only measuring what it is meant to measure?
  • Is the indicator definitely the right indicator?
  • Is the indicator consistent regardless of who measures and when?