Application of selecting measures in data envelopment analysis for company performance rating

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Application of selecting measures in data envelopment analysis for company performance rating

Popis výsledku v původním jazyce

Data Envelopment Analysis (DEA) measures efficiency of a finite number of decision making units (DMUs). This approach is very sensitive to the choice of measures. Traditionally the rule of thumb has been used for initial decision about number of inputs and outputs. Recently a growth of interest in the DEA methodology have shown a need to create an approach or model which could identify the optimal number of inputs and outputs and which identifies the contribution of each variable to the measure of efficiency. The practice has been to select the variables by simply choosing the ones that make economic sense or use them according to preferred performance measures. Variable selection is further complicated because it is difficult to measure some attributes of the inputs and outputs that contribute to the efficiency of a DMU. Some approaches have been developed recently for BCC model. The goal of this contribution is to apply and compare aforementioned proposed methodology on a performance rating of selected nonfinancial companies using envelopment form of the selecting model and MCDM approach using objective weighting for a comparison.

Název v anglickém jazyce

Application of selecting measures in data envelopment analysis for company performance rating

Popis výsledku anglicky

Data Envelopment Analysis (DEA) measures efficiency of a finite number of decision making units (DMUs). This approach is very sensitive to the choice of measures. Traditionally the rule of thumb has been used for initial decision about number of inputs and outputs. Recently a growth of interest in the DEA methodology have shown a need to create an approach or model which could identify the optimal number of inputs and outputs and which identifies the contribution of each variable to the measure of efficiency. The practice has been to select the variables by simply choosing the ones that make economic sense or use them according to preferred performance measures. Variable selection is further complicated because it is difficult to measure some attributes of the inputs and outputs that contribute to the efficiency of a DMU. Some approaches have been developed recently for BCC model. The goal of this contribution is to apply and compare aforementioned proposed methodology on a performance rating of selected nonfinancial companies using envelopment form of the selecting model and MCDM approach using objective weighting for a comparison.

Druh

D - Stať ve sborníku

CEP obor

AE - Řízení, správa a administrativa

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Mathematical Methods in Economics: 34th international conference: Conference Proceedings, Liberec, Czech Republic, September 6th-9th, 2016

ISBN

978-80-7494-295-2

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

219-224

Název nakladatele

Technical University of Liberec

Místo vydání

Liberec

Místo konání akce

Liberec

Datum konání akce

6. 9. 2016

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

000385239500038