000			02702nam a22003135i 4500
001			239203
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007			cr nn 008mamaa
008			210705s2021 sz | o |||| 0|eng d
020			_a9783030729653
024	7		_a10.1007/978-3-030-72965-3 _2doi
040			_aES-VaU _bspa _cES-VaU _dES-VaU
050		4	_aT57.6-.97 _b2021 EB
100	1		_aMoore, Kenneth. _eautor. _4aut _4http://id.loc.gov/vocabulary/relators/aut
245	0	0	_aMeasuring Productivity in Education and Not-for-Profits : _bWith Tools and Examples in R _cby Kenneth Moore
250			_a1st ed. 2021.
264		1	_aCham _c2021 _bSpringer International Publishing
300			_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	0		_aManagement for Professionals _x2192-810X
505	0		_aChapter 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.
520			_aThis 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.
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-72965-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Valencia)
942			_2lcc _cLE
988			_aSpringer_Business_2021
999			_c239203 _d239203