Corporate environmental sustainability and DEA

Joseph Sarkis*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

2 Citations (Scopus)

Abstract

Data envelopment analysis (DEA) is a flexible management tool and methodology that can be utilized in a variety of ways. This flexibility is evident in the applications of DEA for investigating corporate environmental sustainability and management. In this chapter an overview of DEA and how it can be utilized alone and with other techniques to investigate corporate environmental sustainability questions is presented. Discussion on how DEA has been used for environmental sustainability theory development and testing using empirical information makes up a core aspect of some of the major contributions DEA has provided in this field. DEA is also used as a management decision support tool, which includes benchmarking and multiple criteria decision making. Some details on how each was used with exemplary references are included. Some future DEA directions that could be used for research and application in corporate environmental sustainability is also defined.

Original languageEnglish
Title of host publicationHandbook of Operations Analytics Using Data Envelopment Analysis
EditorsShiuh-Nan Hwang, Hsuan-Shih Lee, Joe Zhu
Number of pages16
Place of PublicationBoston
PublisherSpringer New York LLC
Publication date02.07.2016
Pages483-498
ISBN (Print)978-1-4899-7703-8
ISBN (Electronic)978-1-4899-7705-2
DOIs
Publication statusPublished - 02.07.2016
MoE publication typeA3 Book chapter

Publication series

NameInternational Series in Operations Research and Management Science (ISOR)
Volume239
ISSN (Print)0884-8289

Keywords

  • 512 Business and Management
  • Data envelopment analysis
  • Greening
  • Environmental
  • Business
  • Benchmarking
  • Decision making

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  • Cite this

    Sarkis, J. (2016). Corporate environmental sustainability and DEA. In S-N. Hwang, H-S. Lee, & J. Zhu (Eds.), Handbook of Operations Analytics Using Data Envelopment Analysis (pp. 483-498). (International Series in Operations Research and Management Science (ISOR); Vol. 239). Springer New York LLC. https://doi.org/10.1007/978-1-4899-7705-2_18