Please use this identifier to cite or link to this item:
Title: Combining the priority rankings of DEA and AHP methodologies: a case study on an ICT industry
Authors: Stiakakis, Emmanouil
Sifaleras, Angelo
Type: Article
Subjects: FRASCATI::Natural sciences::Mathematics::Applied Mathematics
FRASCATI::Natural sciences::Computer and information sciences
Keywords: Multicriteria Analysis
Decision Making
Issue Date: 2013
Publisher: Inderscience
Source: International Journal of Data Analysis Techniques and Strategies
Volume: 5
Issue: 1
First Page: 101
Last Page: 114
Abstract: This article presents a case study on how data envelopment analysis (DEA) and analytic hierarchy process (AHP) could be combined to produce priority rankings for a set of companies. The shortcomings of each method, when exclusively used to deal with multiple criteria decision analysis (MCDA) problems, are also analysed. The dataset of this study, arising from the European Union (EU) Industrial R&D Investment Scoreboard (European Commission, 2009), consists of the top EU companies activating in the telecommunications equipment industry, which is one of the most representative information and communications technology (ICT) industries. Five criteria, namely, R&D investment, number of employees, capital expenditure, net sales, and operating profit, are used for defining priority rankings of these companies. The application of the case study indicates that the super-efficiency DEA model could be employed for ranking the companies at an initial stage; following that, ranking of the efficient companies could be attained through AHP.
ISSN: 1755-8050
Other Identifiers: 10.1504/IJDATS.2013.051743
Appears in Collections:Department of Applied Informatics

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.