Measuring productivity in education and not-for-profits : with tools and examples in R
Author(s)
Bibliographic Information
Measuring productivity in education and not-for-profits : with tools and examples in R
(Management for professionals)
Springer, c2021
- : hbk
Available at 1 libraries
  Aomori
  Iwate
  Miyagi
  Akita
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  Tochigi
  Gunma
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  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
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  Kyoto
  Osaka
  Hyogo
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  Wakayama
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  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
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  Saga
  Nagasaki
  Kumamoto
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  Kagoshima
  Okinawa
  Korea
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  United Kingdom
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  United States of America
-
National Graduate Institute for Policy Studies Library (GRIPS Library)
: hbk335.8||Mo3901534282
Note
Includes index
Description and Table of Contents
Description
This book takes the reader through real-world examples for how to characterize and measure the productivity and performance of NFPs and education institutions-that is, organisations that produce value for society, which cannot be measured accurately in financial KPIs. It focuses on how best to frame non-profit performance and productivity, and provides a suite of tools for measurement and benchmarking. It further challenges the reader to consider alternative and appropriate uses of quantitative measures, which are fit-for-purpose in individual contexts.
It is true that the risk of misusing quantitative measures is ever-present. But does that risk outweigh the benefits of forming a more precise and shared understanding of what could generate better outcomes? There will always be concerns about policy and performance management. Goodheart's Law states that once a measure becomes a target, it is no longer a good measure. This book helps to strike a meaningful balance between what can be measured, what cannot, and how best to use quantitative information in sectors that are often averse to being held up to the light and put on a scale by outsiders.
Table of Contents
Chapter 1: Introduction.- Chapter 2: Inputs and Outputs.- Chapter 3: The Productivity Ratio.- Chapter 4: Productivity Change.- Chapter 5: Productivity Change with Threshold Analysis.- Chapter 6: Frontier Analysis with DEA.- Chapter 7: Values Analysis with DEA.- Chapter 8: Threshold Analysis for Absolute Productivity.- Chapter 9: Hypothesis Testing.
by "Nielsen BookData"