Novel approach to data envelopment analysis - the case of the Austrian general program Online publication date: Fri, 20-Oct-2023
by Drinko Kurevija
International Journal of Operational Research (IJOR), Vol. 48, No. 2, 2023
Abstract: This article analyses the performances of the Austrian Research Promotion Agency's (ARPA) general program by applying a novel approach to data envelopment analysis (DEA) namely the adjusted DEA (A-DEA). Considering the previous findings of Sowlati and Paradi (2004) by defining a new 'practical frontier' and utilising management input, a modified linear programming model and a methodology for improving the efficiency of empirically efficient units was applied. The aim was to find the output for the novel 'different' units in order to identify an alternative frontier of both already empirically efficient and these 'new' DMUs considering the performances of ARPA's general program.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
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 Operational Research (IJOR):
Login with your Inderscience username and 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