A Performance Assessment of Japanese Cities by Means of Data Envelopment Analysis

2021 ◽  
pp. 389-419
Author(s):  
Soushi Suzuki
Keyword(s):  
Data Envelopment Analysis ◽  
Performance Assessment ◽  
Data Envelopment ◽  
A Performance

Effects of Data Envelopment Analysis on Performance Assessment

2018 ◽  
pp. 557-581
Author(s):  
Heinz Ahn ◽  
Nadia Vazquez Novoa
Keyword(s):  
Data Envelopment Analysis ◽  
Financial Performance ◽  
Performance Assessment ◽  
Performance Appraisal ◽  
Efficiency Score ◽  
Data Envelopment ◽  
Financial Assessment ◽  
Dea Efficiency ◽  
Controlling Processes

This paper examines the Data Envelopment Analysis (DEA) methodology from a cognitive perspective. Specifically, it analyzes (a) the role of DEA scores as an overall efficiency measure and (b) to what extent the presence of DEA scores for a non-financial performance appraisal influences a posterior financial performance assessment. The study confirms that the efficiency score acts as a strong performance marker when deciding on which decision making units (DMUs) should be awarded for their non-financial performance. Furthermore, it shows that the results of the non-financial performance evaluation may act as an anchor which significantly influences a posterior financial assessment. These insights have practical consequences for planning, reporting, and controlling processes that incorporate DEA efficiency scores.

scholarly journals Komparasi Efisiensi Bank Umum Syariah dan Bank Umum Konvensional di Indonesia Dengan Menggunakan Teknik Data Envelopment Analysis Periode 2012-2015

2017 ◽  
Vol 4 (11) ◽  
pp. 914
Author(s):  
Putri Chintia Latifa ◽  
Raditya Sukmana
Keyword(s):  
Comparative Analysis ◽  
Data Envelopment Analysis ◽  
Performance Assessment ◽  
Bank Performance ◽  
Data Envelopment ◽  
Output Level ◽  
Optimal Output ◽  
Current Input ◽  
Input Variables ◽  
Conventional Banks

The purpose of this study is to determine there is a difference of efficiency in terms of income and intermediation between shariah banks and conventional banks during 2012-2015. Efficiency is a measure of bank performance which describes the optimal output level conditions with the level of the current input. The measurement of efficiency in this study usesDEA with CRS assumption. This study uses 22 shariah banks and conventional banks which are the same size in terms of core capital, grouped based on corresponding business activities banks group (BUKU). Then, they are tested by using different independent sample t-test andMann-Whitney Test. Financial performance assessment for the banks uses four input variables and four output variables. A comparative analysis conducted showed that there were no differences in the efficiency of shariah banks and conventional banks. While on the intermediation there are significant differences between the two groups of banks.

scholarly journals Finance Function Performance Measurement-A Data Envelopment Analysis Approach

2018 ◽  
Vol 9 (6) ◽  
pp. 109-121
Author(s):  
Stephen Migiro ◽  
Patricia Shewell
Keyword(s):  
Data Envelopment Analysis ◽  
Value Chain ◽  
Critical Evaluation ◽  
Data Envelopment ◽  
Company Performance ◽  
Support Unit ◽  
Performance Metric ◽  
Business Support ◽  
Finance Function ◽  
A Performance

 The practice of measuring performance of the finance function as a business support unit is not widespread. This study assessed the importance of measuring finance function performance, by ascertaining whether such measurement facilitates identification of the relative efficiency of business finance functions, and by establishing its impact, if any, on overall company performance. Focussing on a sample of companies in the South African Freight Forwarding industry, a performance metric was developed and implemented to measure finance function performance. Relative finance function efficiency was then evaluated using inputorientated data envelopment analysis (DEA) to identify ‘best in class’ performance and to benchmark participants’ performance. Further, value chain DEA (VC-DEA) was applied to evaluate finance function efficiency simultaneously with overall company efficiency. Results show that implementation of the performance metric together with DEA facilitated the benchmarking of the finance functions of the sample group and the establishment of improvement targets for the finance functions determined as inefficient. In addition, a link between overall company performance and finance function performance in terms of inputs was confirmed; however, this link was not conclusively established as regards finance function performance in terms of outputs. The contribution of the study includes confirmation that implementation of the performance metric together with DEA facilitates the critical evaluation of finance function performance, thus establishing the importance of measuring the performance of the finance functions. In addition, incorporating the use of DEA in a performance framework for the finance function as a business support unit has extended the range of applications of DEA.  

scholarly journals Data Envelopment Analysis in Performance Assessment of Fuel and Energy Complex Enterprises

2020 ◽  
Vol 2020 (2) ◽  
pp. 251-262
Author(s):  
Mariia Pokushko ◽  
Alena Stupina ◽  
Inmaculada Medina-Bulo ◽  
Egor Dresvianskii
Keyword(s):  
Data Envelopment Analysis ◽  
Performance Assessment ◽  
Heat Supply ◽  
Power Plants ◽  
Heat Supply System ◽  
Supply System ◽  
Data Envelopment ◽  
Advantages And Disadvantages ◽  
Dea Method ◽  
The City

The authors applied the Data Envelopment Analysis (DEA) to assess the performance of the heat supply system in the city of Krasnoyarsk. The article provides a detailed description of the DEA method, its positive sides and shortcomings. The research included a comparative analysis of performance assessment methods in terms of advantages and disadvantages. The DEA method proved the most convenient tool for measuring the production efficiency of an object. The authors modified the architecture of the universal decision support system into a DEA-based one. The DEA method also proved highly efficient in assessing the performance of the heat supply system in the city of Krasnoyarsk. The analysis made it possible to develop recommendations to improve the efficiency of the local heat supply system using the case of thirteen unites, e.g. boilers, heat and power plants, etc. The input indicator was represented by the available heat capacity. Heat output to the grid and emission mass were used as output indicators. Based on the available initial data, the authors constructed an output-oriented model for analyzing the functioning environment with one input and two outputs. They identified inefficient units of the Krasnoyarsk heat supply system and proposed optimization of input and output values for each unit to improve the functioning of the heat supply system as a whole. The developed for the upgrading of boilers and heat and power plants had an efficiency index in the range up to 1.

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