On the Use of Data Envelopment Analysis to Improve Performance Efficiency of Governmental Management in Big Cities

2020 ◽  
pp. 149-157
Author(s):  
Hai Dung Dinh ◽  
Khoi Minh Le
Keyword(s):  
Data Envelopment Analysis ◽  
Data Envelopment ◽  
Improve Performance ◽  
Use Of Data ◽  
Big Cities ◽  
Governmental Management

scholarly journals Use of data envelopment analysis for efficiency evaluation of czech hospitals

2007 ◽  
Vol 55 (1) ◽  
pp. 60-71 ◽  
Author(s):  
Martin Dlouhý ◽  
Josef Jablonský ◽  
Ivana Novosádová
Keyword(s):  
Data Envelopment Analysis ◽  
Data Envelopment ◽  
Efficiency Evaluation ◽  
Use Of Data

The use of Data Envelopment Analysis (DEA) in healthcare with a focus on hospitals

2018 ◽  
Vol 22 (2) ◽  
pp. 245-286 ◽  
Author(s):  
Sebastian Kohl ◽  
Jan Schoenfelder ◽  
Andreas Fügener ◽  
Jens O. Brunner
Keyword(s):  
Data Envelopment Analysis ◽  
Data Envelopment ◽  
Use Of Data

A New Look at Selecting Third-Party Reverse Logistics Providers

2012 ◽  
pp. 246-254
Author(s):  
Reza Farzipoor Saen
Keyword(s):  
Decision Making ◽  
Data Envelopment Analysis ◽  
Reverse Logistics ◽  
Third Party ◽  
Data Envelopment ◽  
Weight Restrictions ◽  
Use Of Data ◽  
Available Information ◽  
Nondiscretionary Factors ◽  
Decision Making Criteria

The use of Data Envelopment Analysis (DEA) in many fields is based on total flexibility of the weights. However, the problem of allowing total flexibility of the weights is that the values of the weights obtained by solving the unrestricted DEA program are often in contradiction to prior views or additional available information. Also, many applications of DEA assume complete discretionary of decision making criteria. However, they do not assume the conditions that some factors are nondiscretionary. To select the most efficient third-party reverse logistics (3PL) provider in the conditions that both weight restrictions and nondiscretionary factors are present, a methodology is introduced. A numerical example demonstrates the application of the proposed method.

scholarly journals Use of data envelopment analysis to benchmark environmental product declarations—a suggested framework

2019 ◽  
Vol 25 (12) ◽  
pp. 2417-2431 ◽  
Author(s):  
Bruno M. Galindro ◽  
Niki Bey ◽  
Stig I. Olsen ◽  
Carlos E. Fries ◽  
Sebastião R. Soares
Keyword(s):  
Data Envelopment Analysis ◽  
Data Envelopment ◽  
Use Of Data ◽  
Environmental Product Declarations
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