A novel fuzzy data envelopment analysis for measuring corporate sustainability performance

Majid Azadi, Mostafa Jafarian, Seyed Mostafa Mirhedayatian, Reza Farzipoor Saen*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

In spite of the fact that sustainability performance evaluation receives extensive attention from industrial enterprises, international organisations and researchers, some questions remain on how to evaluate sustainability. Hence, evaluation of corporate sustainability performance is a significant issue and has a strategic importance for every company. One of the techniques that can be used for measuring corporate sustainability performance is data envelopment analysis (DEA). In this paper, DEA is applied as a technique to deal with measuring corporate sustainability performance. Due to the ambiguity into the data of decision making problems, the DEA model should be formulated under fuzzy environment. Therefore, in this paper, a DEA model is developed in fuzzy framework measuring corporate sustainability performance. On the other hand, because of the complexity of the proposed model, fuzzy simulation is used along with genetic algorithm to solve the problem. A numerical example is presented to illustrate applicability of proposed model.

Original languageEnglish
Pages (from-to)312-324
Number of pages13
JournalInternational Journal of Productivity and Quality Management
Volume16
Issue number3
DOIs
Publication statusPublished - 2015

Keywords

  • Corporate sustainability performance
  • Data envelopment analysis
  • DEA
  • Fuzzy data
  • Genetic algorithm

ASJC Scopus subject areas

  • Business, Management and Accounting(all)

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