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A mixed ideal and anti-ideal DEA model: An application to evaluate cloud service providers

Azadi, Majid, Izadikhah, M, Ramezani, F and Khadeer, FH 2020, A mixed ideal and anti-ideal DEA model: An application to evaluate cloud service providers, IMA Journal of Management Mathematics, vol. 31, no. 2, pp. 233-256, doi: 10.1093/imaman/dpz012.

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Title A mixed ideal and anti-ideal DEA model: An application to evaluate cloud service providers
Author(s) Azadi, Majid
Izadikhah, M
Ramezani, F
Khadeer, FH
Journal name IMA Journal of Management Mathematics
Volume number 31
Issue number 2
Start page 233
End page 256
Total pages 24
Publisher Oxford University Press
Place of publication Oxford, Eng.
Publication date 2020-04
ISSN 1471-678X
1471-6798
Keyword(s) Data envelopment analysis (DEA)
cloud service providers (CSPs)
performance evaluation
enhanced Russell model (ERM)
ideal and anti-ideal DEA
Summary Abstract The rapid development of cloud computing and the sharp increase in the number of cloud service providers (CSPs) have resulted in many challenges in the suitability and selection of the best CSPs according to quality of service requirements. The main objective of this study is to propose three novel models based on the enhanced Russell model to increase the discrimination power in the evaluation and selection of CSPs. The proposed models are designed based on the distances to two special decision-making units (DMUs), namely the ideal DMU and the anti-ideal DMU. There are two advantages to the proposed ranking methods. First, they consider both pessimistic and optimistic scenarios of data envelopment analysis, so they are more equitable than methods that are based on only one of these scenarios. The second strength of this approach is its discrimination power, enabling it to provide a complete ranking for all CSPs. The proposed method can help customers to choose the most appropriate CSP while at the same time, it helps software developers to identify inefficient CSPs in order to improve their performance in the marketplace.
Language eng
DOI 10.1093/imaman/dpz012
Indigenous content off
Field of Research 0102 Applied Mathematics
1502 Banking, Finance and Investment
HERDC Research category C1.1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30149585

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.