Combining the priority rankings of DEA and AHP methodologies: a case study on an ICT industry Online publication date: Fri, 28-Feb-2014
by Emmanouil Stiakakis; Angelo Sifaleras
International Journal of Data Analysis Techniques and Strategies (IJDATS), Vol. 5, No. 1, 2013
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.
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 Data Analysis Techniques and Strategies (IJDATS):
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