Finding the best asset financing alternative: A DEA-WEO approach

Mehdi Toloo*, Aleš Kresta

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

27 Citations (Scopus)

Abstract

Measurement of performance is an important activity in identifying weaknesses in managerial efficiency and devising goals for improvement. Data envelopment analysis (DEA) is a mathematical quantitative approach for measuring the performance of a set of similar units. Toloo (2013) extended a DEA approach for finding the most efficient unit considering a data set without explicit inputs. The aim of this paper is to develop DEA models without explicit outputs, henceforth called DEA-WEO, to find the most efficient unit when outputs are not directly considered. The suggested models directly utilize the data without the need of adding a virtual output, whose value is equal to for all units. A real data set involving 139 different alternatives for long-term asset financing provided by Czech banks and leasing companies is taken to illustrate the potential application of the proposed approach.

Original languageEnglish
Pages (from-to)288-294
Number of pages7
JournalMeasurement: Journal of the International Measurement Confederation
Volume55
DOIs
Publication statusPublished - Sep 2014
Externally publishedYes

Keywords

  • Asset financing
  • Common set of weights
  • Data envelopment analysis
  • Data without explicit outputs

ASJC Scopus subject areas

  • Instrumentation
  • Electrical and Electronic Engineering

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