Cited by 163Efficiency Analysis Using DEAEconomic Growth and ProductivityEnvironmental Impact and Sustainability

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Sarkis, Joe·2007·Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis

DOI 10.1007/978-0-387-71607-7_17

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Authors: Sarkis, J.
Venue: Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis
Publisher: Springer US
Published: 2007-06-07
Pages: 305-320
DOI: 10.1007/978-0-387-71607-7_17
OpenAlex: W106807888
Cited by: 163
References: 25
Citations by year: 2026: 6 · 2025: 5 · 2024: 17 · 2023: 21 · 2022: 23 · 2021: 18 · 2020: 16 · 2019: 9 · 2018: 9 · 2017: 14 · 2016: 4 · 2015: 8 · 2014: 3 · 2013: 3 · 2012: 1
FWCI: 0.86
Type: book chapter
Language: en
Open access: closed
Locations: Springer eBooks (publishedVersion)
Topics: Social Sciences › Decision Sciences › Management Science and Operations Research › Efficiency Analysis Using DEA
Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economic Growth and Productivity
Physical Sciences › Environmental Science › Environmental Engineering › Environmental Impact and Sustainability
Keywords: data requirements, data characteristics, data preparation, data quality, DEA models, productivity measurement

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