A unified approach to radial, hyperbolic, and directional efficiency measurement in data envelopment analysis
Gespeichert in:
| Autor*in: |
Halická, Margaréta [verfasserIn] Trnovská, Mária [verfasserIn] Černý, Aleš - 1971- [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2024 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: European journal of operational research - Amsterdam [u.a.] : Elsevier, 1977, 312(2024), 1 vom: 1. Jan., Seite 298-314 |
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| Übergeordnetes Werk: |
volume:312 ; year:2024 ; number:1 ; day:1 ; month:01 ; pages:298-314 |
| Links: |
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| DOI / URN: |
10.1016/j.ejor.2023.06.039 |
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| Katalog-ID: |
1878849700 |
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| 982 | |2 26 |1 00 |x DE-206 |b The paper analyses properties of a large class of "path-based" Data Envelopment Analysis models through a unifying general scheme. The scheme includes the well-known oriented radial models, the hyperbolic distance function model, the directional distance function models, and even permits their generalisations. The modelling is not constrained to non-negative data and is flexible enough to accommodate variants of standard models over arbitrary data. Mathematical tools developed in the paper allow systematic analysis of the models from the point of view of ten desirable properties. It is shown that some of the properties are satisfied (resp., fail) for all models in the general scheme, while others have a more nuanced behaviour and must be assessed individually in each model. Our results can help researchers and practitioners navigate among the different models and apply the models to mixed data. | ||
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10.1016/j.ejor.2023.06.039 doi (DE-627)1878849700 (DE-599)KXP1878849700 DE-627 ger DE-627 rda eng Halická, Margaréta verfasserin aut A unified approach to radial, hyperbolic, and directional efficiency measurement in data envelopment analysis Margaréta Halická, Mária Trnovská, Aleš Černý 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Data envelopment analysis (dpeaa)DE-206 Directional distance function (dpeaa)DE-206 Hyperbolic distance function (dpeaa)DE-206 Negative data (dpeaa)DE-206 Radial efficiency measures (dpeaa)DE-206 Trnovská, Mária verfasserin aut Černý, Aleš 1971- verfasserin (DE-588)130444898 (DE-627)501479600 (DE-576)18391046X aut Enthalten in European journal of operational research Amsterdam [u.a.] : Elsevier, 1977 312(2024), 1 vom: 1. Jan., Seite 298-314 Online-Ressource (DE-627)306713470 (DE-600)1501061-2 (DE-576)094058377 0377-2217 nnns volume:312 year:2024 number:1 day:1 month:01 pages:298-314 https://www.sciencedirect.com/science/article/pii/S0377221723005118/pdfft?md5=0ff4afd61883090fb85cac07476f7544&pid=1-s2.0-S0377221723005118-main.pdf Verlag lizenzpflichtig https://doi.org/10.1016/j.ejor.2023.06.039 Resolving-System lizenzpflichtig GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 312 2024 1 1 1 298-314 26 01 0206 4467262334 x1z 24-01-24 26 00 DE-206 The paper analyses properties of a large class of "path-based" Data Envelopment Analysis models through a unifying general scheme. The scheme includes the well-known oriented radial models, the hyperbolic distance function model, the directional distance function models, and even permits their generalisations. The modelling is not constrained to non-negative data and is flexible enough to accommodate variants of standard models over arbitrary data. Mathematical tools developed in the paper allow systematic analysis of the models from the point of view of ten desirable properties. It is shown that some of the properties are satisfied (resp., fail) for all models in the general scheme, while others have a more nuanced behaviour and must be assessed individually in each model. Our results can help researchers and practitioners navigate among the different models and apply the models to mixed data. |
| spelling |
10.1016/j.ejor.2023.06.039 doi (DE-627)1878849700 (DE-599)KXP1878849700 DE-627 ger DE-627 rda eng Halická, Margaréta verfasserin aut A unified approach to radial, hyperbolic, and directional efficiency measurement in data envelopment analysis Margaréta Halická, Mária Trnovská, Aleš Černý 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Data envelopment analysis (dpeaa)DE-206 Directional distance function (dpeaa)DE-206 Hyperbolic distance function (dpeaa)DE-206 Negative data (dpeaa)DE-206 Radial efficiency measures (dpeaa)DE-206 Trnovská, Mária verfasserin aut Černý, Aleš 1971- verfasserin (DE-588)130444898 (DE-627)501479600 (DE-576)18391046X aut Enthalten in European journal of operational research Amsterdam [u.a.] : Elsevier, 1977 312(2024), 1 vom: 1. Jan., Seite 298-314 Online-Ressource (DE-627)306713470 (DE-600)1501061-2 (DE-576)094058377 0377-2217 nnns volume:312 year:2024 number:1 day:1 month:01 pages:298-314 https://www.sciencedirect.com/science/article/pii/S0377221723005118/pdfft?md5=0ff4afd61883090fb85cac07476f7544&pid=1-s2.0-S0377221723005118-main.pdf Verlag lizenzpflichtig https://doi.org/10.1016/j.ejor.2023.06.039 Resolving-System lizenzpflichtig GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 312 2024 1 1 1 298-314 26 01 0206 4467262334 x1z 24-01-24 26 00 DE-206 The paper analyses properties of a large class of "path-based" Data Envelopment Analysis models through a unifying general scheme. The scheme includes the well-known oriented radial models, the hyperbolic distance function model, the directional distance function models, and even permits their generalisations. The modelling is not constrained to non-negative data and is flexible enough to accommodate variants of standard models over arbitrary data. Mathematical tools developed in the paper allow systematic analysis of the models from the point of view of ten desirable properties. It is shown that some of the properties are satisfied (resp., fail) for all models in the general scheme, while others have a more nuanced behaviour and must be assessed individually in each model. Our results can help researchers and practitioners navigate among the different models and apply the models to mixed data. |
| allfields_unstemmed |
10.1016/j.ejor.2023.06.039 doi (DE-627)1878849700 (DE-599)KXP1878849700 DE-627 ger DE-627 rda eng Halická, Margaréta verfasserin aut A unified approach to radial, hyperbolic, and directional efficiency measurement in data envelopment analysis Margaréta Halická, Mária Trnovská, Aleš Černý 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Data envelopment analysis (dpeaa)DE-206 Directional distance function (dpeaa)DE-206 Hyperbolic distance function (dpeaa)DE-206 Negative data (dpeaa)DE-206 Radial efficiency measures (dpeaa)DE-206 Trnovská, Mária verfasserin aut Černý, Aleš 1971- verfasserin (DE-588)130444898 (DE-627)501479600 (DE-576)18391046X aut Enthalten in European journal of operational research Amsterdam [u.a.] : Elsevier, 1977 312(2024), 1 vom: 1. Jan., Seite 298-314 Online-Ressource (DE-627)306713470 (DE-600)1501061-2 (DE-576)094058377 0377-2217 nnns volume:312 year:2024 number:1 day:1 month:01 pages:298-314 https://www.sciencedirect.com/science/article/pii/S0377221723005118/pdfft?md5=0ff4afd61883090fb85cac07476f7544&pid=1-s2.0-S0377221723005118-main.pdf Verlag lizenzpflichtig https://doi.org/10.1016/j.ejor.2023.06.039 Resolving-System lizenzpflichtig GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 312 2024 1 1 1 298-314 26 01 0206 4467262334 x1z 24-01-24 26 00 DE-206 The paper analyses properties of a large class of "path-based" Data Envelopment Analysis models through a unifying general scheme. The scheme includes the well-known oriented radial models, the hyperbolic distance function model, the directional distance function models, and even permits their generalisations. The modelling is not constrained to non-negative data and is flexible enough to accommodate variants of standard models over arbitrary data. Mathematical tools developed in the paper allow systematic analysis of the models from the point of view of ten desirable properties. It is shown that some of the properties are satisfied (resp., fail) for all models in the general scheme, while others have a more nuanced behaviour and must be assessed individually in each model. Our results can help researchers and practitioners navigate among the different models and apply the models to mixed data. |
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10.1016/j.ejor.2023.06.039 doi (DE-627)1878849700 (DE-599)KXP1878849700 DE-627 ger DE-627 rda eng Halická, Margaréta verfasserin aut A unified approach to radial, hyperbolic, and directional efficiency measurement in data envelopment analysis Margaréta Halická, Mária Trnovská, Aleš Černý 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Data envelopment analysis (dpeaa)DE-206 Directional distance function (dpeaa)DE-206 Hyperbolic distance function (dpeaa)DE-206 Negative data (dpeaa)DE-206 Radial efficiency measures (dpeaa)DE-206 Trnovská, Mária verfasserin aut Černý, Aleš 1971- verfasserin (DE-588)130444898 (DE-627)501479600 (DE-576)18391046X aut Enthalten in European journal of operational research Amsterdam [u.a.] : Elsevier, 1977 312(2024), 1 vom: 1. Jan., Seite 298-314 Online-Ressource (DE-627)306713470 (DE-600)1501061-2 (DE-576)094058377 0377-2217 nnns volume:312 year:2024 number:1 day:1 month:01 pages:298-314 https://www.sciencedirect.com/science/article/pii/S0377221723005118/pdfft?md5=0ff4afd61883090fb85cac07476f7544&pid=1-s2.0-S0377221723005118-main.pdf Verlag lizenzpflichtig https://doi.org/10.1016/j.ejor.2023.06.039 Resolving-System lizenzpflichtig GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 312 2024 1 1 1 298-314 26 01 0206 4467262334 x1z 24-01-24 26 00 DE-206 The paper analyses properties of a large class of "path-based" Data Envelopment Analysis models through a unifying general scheme. The scheme includes the well-known oriented radial models, the hyperbolic distance function model, the directional distance function models, and even permits their generalisations. The modelling is not constrained to non-negative data and is flexible enough to accommodate variants of standard models over arbitrary data. Mathematical tools developed in the paper allow systematic analysis of the models from the point of view of ten desirable properties. It is shown that some of the properties are satisfied (resp., fail) for all models in the general scheme, while others have a more nuanced behaviour and must be assessed individually in each model. Our results can help researchers and practitioners navigate among the different models and apply the models to mixed data. |
| allfieldsSound |
10.1016/j.ejor.2023.06.039 doi (DE-627)1878849700 (DE-599)KXP1878849700 DE-627 ger DE-627 rda eng Halická, Margaréta verfasserin aut A unified approach to radial, hyperbolic, and directional efficiency measurement in data envelopment analysis Margaréta Halická, Mária Trnovská, Aleš Černý 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Data envelopment analysis (dpeaa)DE-206 Directional distance function (dpeaa)DE-206 Hyperbolic distance function (dpeaa)DE-206 Negative data (dpeaa)DE-206 Radial efficiency measures (dpeaa)DE-206 Trnovská, Mária verfasserin aut Černý, Aleš 1971- verfasserin (DE-588)130444898 (DE-627)501479600 (DE-576)18391046X aut Enthalten in European journal of operational research Amsterdam [u.a.] : Elsevier, 1977 312(2024), 1 vom: 1. Jan., Seite 298-314 Online-Ressource (DE-627)306713470 (DE-600)1501061-2 (DE-576)094058377 0377-2217 nnns volume:312 year:2024 number:1 day:1 month:01 pages:298-314 https://www.sciencedirect.com/science/article/pii/S0377221723005118/pdfft?md5=0ff4afd61883090fb85cac07476f7544&pid=1-s2.0-S0377221723005118-main.pdf Verlag lizenzpflichtig https://doi.org/10.1016/j.ejor.2023.06.039 Resolving-System lizenzpflichtig GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 312 2024 1 1 1 298-314 26 01 0206 4467262334 x1z 24-01-24 26 00 DE-206 The paper analyses properties of a large class of "path-based" Data Envelopment Analysis models through a unifying general scheme. The scheme includes the well-known oriented radial models, the hyperbolic distance function model, the directional distance function models, and even permits their generalisations. The modelling is not constrained to non-negative data and is flexible enough to accommodate variants of standard models over arbitrary data. Mathematical tools developed in the paper allow systematic analysis of the models from the point of view of ten desirable properties. It is shown that some of the properties are satisfied (resp., fail) for all models in the general scheme, while others have a more nuanced behaviour and must be assessed individually in each model. Our results can help researchers and practitioners navigate among the different models and apply the models to mixed data. |
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26 00 DE-206 The paper analyses properties of a large class of "path-based" Data Envelopment Analysis models through a unifying general scheme. The scheme includes the well-known oriented radial models, the hyperbolic distance function model, the directional distance function models, and even permits their generalisations. The modelling is not constrained to non-negative data and is flexible enough to accommodate variants of standard models over arbitrary data. Mathematical tools developed in the paper allow systematic analysis of the models from the point of view of ten desirable properties. It is shown that some of the properties are satisfied (resp., fail) for all models in the general scheme, while others have a more nuanced behaviour and must be assessed individually in each model. Our results can help researchers and practitioners navigate among the different models and apply the models to mixed data A unified approach to radial, hyperbolic, and directional efficiency measurement in data envelopment analysis Margaréta Halická, Mária Trnovská, Aleš Černý Data envelopment analysis (dpeaa)DE-206 Directional distance function (dpeaa)DE-206 Hyperbolic distance function (dpeaa)DE-206 Negative data (dpeaa)DE-206 Radial efficiency measures (dpeaa)DE-206 |
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ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4326</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4333</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4334</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4393</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">312</subfield><subfield code="j">2024</subfield><subfield code="e">1</subfield><subfield code="b">1</subfield><subfield code="c">1</subfield><subfield code="h">298-314</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">26</subfield><subfield code="1">01</subfield><subfield code="x">0206</subfield><subfield code="b">4467262334</subfield><subfield code="y">x1z</subfield><subfield code="z">24-01-24</subfield></datafield><datafield tag="982" ind1=" " ind2=" "><subfield code="2">26</subfield><subfield code="1">00</subfield><subfield code="x">DE-206</subfield><subfield code="b">The paper analyses properties of a large class of "path-based" Data Envelopment Analysis models through a unifying general scheme. The scheme includes the well-known oriented radial models, the hyperbolic distance function model, the directional distance function models, and even permits their generalisations. The modelling is not constrained to non-negative data and is flexible enough to accommodate variants of standard models over arbitrary data. Mathematical tools developed in the paper allow systematic analysis of the models from the point of view of ten desirable properties. It is shown that some of the properties are satisfied (resp., fail) for all models in the general scheme, while others have a more nuanced behaviour and must be assessed individually in each model. Our results can help researchers and practitioners navigate among the different models and apply the models to mixed data.</subfield></datafield></record></collection>
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| score |
7.401102 |