Title: Novel approach to data envelopment analysis - the case of the Austrian general program

Authors: Drinko Kurevija

Addresses: Faculty of Business, Economics and Statistics, University of Vienna, Oskar-Morgenstern-Platz 1, 1090 Vienna, Austria

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.

Keywords: data envelopment analysis; DEA; novel DEA; unobserved DMUs; weight restrictions; multicriteria decision making; stochastic frontier analysis; programs; projects; efficiency.

DOI: 10.1504/IJOR.2023.134402

International Journal of Operational Research, 2023 Vol.48 No.2, pp.259 - 280

Received: 24 Jan 2020
Accepted: 15 Jan 2021
Published online: 20 Oct 2023 *

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