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• W2961348696 abstract "An increasing number of organizations and businesses around the world use cloud computing services to improve their performance in the competitive marketplace. However, one of the biggest challenges in using cloud computing services is performance measurement and the selection of the best cloud service providers (CSPs) based on quality of service (QoS) requirements <xref ref-type=bibr rid=ref13 xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>[13]</xref> . To address this shortcoming in this article we propose a network data envelopment analysis (DEA) method in measuring the efficiency of CSPs. When network dimensions are taken into consideration, a more comprehensive analysis is enabled where divisional efficiency is reflected in overall efficiency estimates. This helps managers and decision makers in organizations to make accurate decisions in selecting cloud services. In the current study, the non-oriented network slacks-based measure (SBM) model and conventional SBM model with the assumptions of constant returns to scale (CRS) and variable returns to scale (VRS) are applied to measure the performance of 18 CSPs. The obtained results show the superiority of the network DEA model and they also demonstrate that the proposed model can evaluate and rank CSPs much better than compared to traditional DEA models." @default.
• W2961348696 created "2019-07-23" @default.
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• W2961348696 date "2022-01-01" @default.
• W2961348696 modified "2023-10-16" @default.
• W2961348696 title "Efficiency Measurement of Cloud Service Providers Using Network Data Envelopment Analysis" @default.
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• W2961348696 doi "https://doi.org/10.1109/tcc.2019.2927340" @default.
• W2961348696 hasPublicationYear "2022" @default.
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