Preface: DEA and its applications in operations and data analytics.
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- Annals of Operations Research, 2019, v. 278, n. 1/2, p. 1, doi. 10.1007/s10479-019-03243-w
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Works matching IS 02545330 AND DT 2019 AND VI 278 AND IP 1/2
Results: 18
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DEA models with Russell measures.
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- Annals of Operations Research, 2019, v. 278, n. 1/2, p. 337, doi. 10.1007/s10479-018-2867-2
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Using a hybrid heterogeneous DEA method to benchmark China's sustainable urbanization: an empirical study.
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- Annals of Operations Research, 2019, v. 278, n. 1/2, p. 281, doi. 10.1007/s10479-018-2855-6
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4
A winner-take-all evaluation in data envelopment analysis.
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- Annals of Operations Research, 2019, v. 278, n. 1/2, p. 141, doi. 10.1007/s10479-018-2833-z
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5
Data envelopment analysis of systems with multiple modes of functioning.
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- Annals of Operations Research, 2019, v. 278, n. 1/2, p. 17, doi. 10.1007/s10479-017-2733-7
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6
Carbon emission allocation in China based on gradually efficiency improvement and emission reduction planning principle.
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- Annals of Operations Research, 2019, v. 278, n. 1/2, p. 123, doi. 10.1007/s10479-017-2682-1
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7
DEA cross-efficiency evaluation and ranking method based on interval data.
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- Annals of Operations Research, 2019, v. 278, n. 1/2, p. 159, doi. 10.1007/s10479-017-2669-y
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8
Does CSR matter? Influence of corporate social responsibility on corporate performance in the creative industry.
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- Annals of Operations Research, 2019, v. 278, n. 1/2, p. 255, doi. 10.1007/s10479-017-2626-9
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9
Luenberger-type indicators based on the weighted additive distance function.
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- Annals of Operations Research, 2019, v. 278, n. 1/2, p. 195, doi. 10.1007/s10479-017-2620-2
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10
The infeasible problem of Malmquist–Luenberger index and its application on China's environmental total factor productivity.
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- Annals of Operations Research, 2019, v. 278, n. 1/2, p. 235, doi. 10.1007/s10479-017-2603-3
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11
Fixed costs and shared resources allocation in two-stage network DEA.
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- Annals of Operations Research, 2019, v. 278, n. 1/2, p. 177, doi. 10.1007/s10479-017-2599-8
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12
How the Great Recession affects performance: a case of Pennsylvania hospitals using DEA.
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- Annals of Operations Research, 2019, v. 278, n. 1/2, p. 77, doi. 10.1007/s10479-017-2516-1
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13
Measuring productivity change accounting for adjustment costs: evidence from the food industry in the European Union.
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- Annals of Operations Research, 2019, v. 278, n. 1/2, p. 215, doi. 10.1007/s10479-017-2497-0
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14
An extension on super slacks-based measure DEA approach.
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- Annals of Operations Research, 2019, v. 278, n. 1/2, p. 101, doi. 10.1007/s10479-017-2495-2
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15
An alternative MILP-DEA model to choose efficient unit without explicit inputs.
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- Annals of Operations Research, 2019, v. 278, n. 1/2, p. 379, doi. 10.1007/s10479-017-2472-9
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16
On selecting directions for directional distance functions in a non-parametric framework: a review.
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- Annals of Operations Research, 2019, v. 278, n. 1/2, p. 43, doi. 10.1007/s10479-017-2423-5
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17
Efficiency evaluation in the presence of undesirable outputs: the most favorable shadow price approach.
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- Annals of Operations Research, 2019, v. 278, n. 1/2, p. 5, doi. 10.1007/s10479-017-2399-1
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18
Measuring the efficiency of hospitals: a fully-ranking DEA–FAHP approach.
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- Annals of Operations Research, 2019, v. 278, n. 1/2, p. 361, doi. 10.1007/s10479-016-2330-1
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