Measuring Productivity in Education and Not-for-Profits - With Tools and Examples in R (Paperback, 1st ed. 2021)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Management for Professionals
Release date:	July 2022
First published:	2021
Authors:	Kenneth Moore
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	148
Edition:	1st ed. 2021
ISBN-13:	978-3-03-072967-7
Categories:	Books > Social sciences > Politics & government > Public administration Books > Science & Mathematics > Mathematics > Probability & statistics Books > Social sciences > Education > Organization & management of education > General Books > Business & Economics > Business & management > Ownership & organization of enterprises > Non-profitmaking organizations Books > Business & Economics > Business & management > Management & management techniques > Operational research
LSN:	3-03-072967-2
Barcode:	9783030729677

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