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
Otros Autores: Gray, Dina, author (author), Micheli, Pietro, 1978- author, Pavlov, Andrey, 1981- author
Formato: Libro electrónico
Idioma:Inglés
Publicado: Chichester, West Sussex : Wiley 2015.
Edición:1st edition
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628605306719
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 dataPaying 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?; Can the data be readily communicated and easily understood?; Is any ambiguity possible in the interpretation of the results?; Can and will the data be acted upon?; Can the data be analyzed soon enough for action to be taken?; Is the cost of collecting and analyzing data justified?; Will the measure encourage any undesirable behaviours?; Learning points; It's not just a KPI; Pass or fail; And finally...; Chapter 5 Comparing Performance; Apples and pears
  • Differences in data collectionDifferent datasets; Different methodologies; Interpretation and presentation; Timeliness; Special variation; Choice and relevance; Using data unintended for comparative purposes; Yes, but...; Moving up the rankings; Unintended consequences; Learning points; Which data to collect?; Collection mechanisms; Consistency; Handling ambiguity; And finally...; Part III Performance Management; Chapter 6 Target Turmoil; What are performance targets?; When targets go bad; Are targets so bad?; The main pitfalls; When targets do good; Clarity and commitment; Unexpected benefits
  • Learning pointsTypes of targets; Setting targets; Feedback; Targets and incentives; In summary; And finally...; Chapter 7 Gaming and Cheating; Gaming: what is it?; Gaming and cheating; What drives gaming and cheating?; The pressure to perform; Targets - the wrong kind and in the wrong way; The climate of competitiveness; Types of gaming; The number and predictability of gaming behaviours; Learning points; Relieving the pressure; Setting the right kind of target; Foreseeing the future; Improving data management systems; Changing the culture; And finally...
  • Chapter 8 Hoping for A Whilst Rewarding B