The DOI matches its Crossref record.
Using data envelopment analysis to measure the efficiency of non‐profit organizations: A critical evaluation
Abstract
This study examines the potential effects of variable set expansion and data variations upon the efficiency scores generated using the Data Envelopment Analysis (DEA) model. It was found that variable set expansion (either through disaggregation of existing variables or addition of new factors) should produce an upward trend in efficiency scores. In addition, ample opportunity exists for ‘decision‐making units’ to increase their efficiency scores through manipulation of reported data. In real‐world applications of DEA, these problems must be resolved as much as possible (e.g. increased audit of data) in order to improve DEA's practical usefulness and reliability.
Overview
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Nunamaker (1985) concluded that variable set expansion can be expected to produce an upward trend in efficiency scores.
“Nunamaker (1985) concluded that variable set expansion can be expected to produce an upward trend in efficiency scores.”
From Technical efficiency in developing country agriculture: a meta‐analysis (2001) · cites this paper as Nunamaker (1985)
Citations
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No references could be resolved yet.
Research works printed but not linked: 10
- 10.1287/mnsc.27.12.1370 · DOI
- 10.1177/0013161X8001600207 · DOI
- 10.1016/0377-2217(78)90138-8 · DOI · Paper page
- 10.1287/mnsc.27.6.668 · DOI
- 10.2307/2343100 · DOI
- Lewin A. Y., 1981, Measuring the relative efficiency and output potential of public sector organizations: an application of data envelopment analysis, Journal of Policy Analysis and Information Systems, 5, 267
- 10.1016/0305-0483(82)90019-6 · DOI
- Nunamaker T. R., 1983, Measuring routine nursing service efficiency: a comparison of cost per patient day and data envelopment analysis models, Health Services Research, 18, 183
- E. L.Rhodes(1978).Date Envelopment Analysis and Related Approaches for Measuring the Efficiency of Decision‐Making Units with an Application to Program Follow Through in U.S. Education. Dissertation Carnegie‐Mellon University.
- Ruchlin H. S., 1977, Problems in measuring institutional productivity, Topics in Health Care Financing, 4, 13
Cited by
Sorted by citations
Technical efficiency in developing country agriculture: a meta‐analysis
Thiam, A., Bravo‐Ureta, B. E., & Rivas, T. E. (2001) · Agricultural Economics · doi:10.1111/j.1574-0862.2001.tb00204.x · Cited by 297
“Nunamaker (1985) concluded that variable set expansion can be expected to produce an upward trend in efficiency scores.”
Background
Metadata
- Authors
- Nunamaker, T. R.
- Affiliations
- Washington State University (US)
- Corresponding author
- Nunamaker, Thomas R.
- Venue
- Managerial and Decision Economics
- Publisher
- Wiley
- Published
- 1985-03
- Volume
- 6
- Issue
- 1
- Pages
- 50-58
- ISSN
- 0143-6570 (ISSN-L)
- 1099-1468
- OpenAlex
- W2108877544
- Cited by
- 295
- References
- 0
- Citations by year
- 2026: 6 · 2025: 8 · 2024: 8 · 2023: 10 · 2022: 8 · 2021: 5 · 2020: 7 · 2019: 9 · 2018: 11 · 2017: 9 · 2016: 14 · 2015: 11 · 2014: 11 · 2013: 13 · 2012: 11
- FWCI
- 7.85
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Managerial and Decision Economics (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Efficiency Analysis Using DEA
- Social Sciences › Sociology and Political Science › Nonprofit Sector and Volunteering
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Sports Analytics and Performance
- Keywords
- data envelopment analysis, nonprofit organizations, efficiency measurement, efficiency scores, data manipulation, data auditing, decision making units, input-output variables
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