Data envelopment analysis revisited: a neophyte's perspective
by Nuno Melao
International Journal of Management and Decision Making (IJMDM), Vol. 6, No. 2, 2005

Abstract: Data envelopment analysis (DEA) is an approach to efficiency measurement that has been the subject of much academic enquiry. During the last two decades or so thousands of papers, books and dissertations have been written. However, given the fast-growing nature of this field, it is essential to provide comprehensive and systematic guides. This paper revisits DEA in a language palatable to educators, students and practitioners. It defines the approach, illustrates its use and discusses its strengths and limitations. After discussing the basic models, it describes some of its extensions, applications and software available. The issues surrounding the practical application of DEA are also reviewed. The paper concludes by suggesting that the use of DEA is still the province of specialists and that further research should consider ways to make it more widely accessible.

Online publication date: Sun, 23-Jan-2005

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Management and Decision Making (IJMDM):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com