2020
DOI: 10.1177/0899764020977670
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Nonprofit Benchmarking With Data Envelopment Analysis

Abstract: Benchmarking nonprofit performance can be challenging, constraining the ways nonprofits can use operational data to learn from each other and highlight organizational progress. Valid output or outcome data are scarce, and there is much to learn about measuring performance even when these data are available. Data envelopment analysis (DEA) is a mathematical linear programming technique that can be used to measure performance in a way that not only produces valid efficiency scores but also allows for benchmarkin… Show more

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Cited by 7 publications
(4 citation statements)
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“…Further, the ratio has its limitations in terms of the charitable care really delivered. As mentioned by Coupet, Berrett, Broussard, and Johnson (2021), "financial ratios somewhat capture spending patterns, but they do not capture what nonprofits do with resources, leaving out outputs and outcomes entirely" (p. 648).…”
Section: Discussionmentioning
confidence: 99%
“…Further, the ratio has its limitations in terms of the charitable care really delivered. As mentioned by Coupet, Berrett, Broussard, and Johnson (2021), "financial ratios somewhat capture spending patterns, but they do not capture what nonprofits do with resources, leaving out outputs and outcomes entirely" (p. 648).…”
Section: Discussionmentioning
confidence: 99%
“…However, we take careful consideration with imputing the missing data with zero (please see footnote 2 for details). Finally, according to Coupet et al (2021), DEA has limitations. First, the selection of appropriate inputs and outputs is critical in DEA.…”
Section: Discussionmentioning
confidence: 99%
“…Focusing on practical implications, a management-for-stakeholders approach requires managers to obtain indicators that measure the value created by the MFI for each of its stakeholders. However, when we reviewed the literature on microfinance assessment, we found no well-established indicators that measure the return of MFIs to stakeholders (Coupet et al, 2020; MacIndoe & Barman, 2013). Hudon and Périlleux (2014) studied the surplus that MFIs distribute to stakeholders.…”
Section: Discussionmentioning
confidence: 99%