Evaluating efficiency of cloud service providers in era of digital technologies

Abstract

The rapid growth of advanced technologies such as cloud computing in the Industry 4.0 era has provided numerous advantages. Cloud computing is one of the most significant technologies of Industry 4.0 for sustainable development. Numerous providers have developed various new services, which have become a crucial ingredient of information systems in many organizations. One of the challenges for cloud computing customers is evaluating potential providers. To date, considerable research has been undertaken to solve the problem of evaluating the efficiency of cloud service providers (CSPs). However, no study addresses the efficiency of providers in the context of an entire supply chain, where multiple services interact to achieve a business objective or goal. Data envelopment analysis (DEA) is a powerful method for efficiency measurement problems. However, the current models ignore undesirable outputs, integer-valued, and stochastic data which can lead to inaccurate results. As such, the primary objective of this paper is to design a decision support system that accurately evaluates the efficiency of multiple CSPs in a supply chain. The current study incorporates undesirable outputs, integer-valued, and stochastic data in a network DEA model for the efficiency measurement of service providers. The results from a case study illustrate the applicability of our new system. The results also show how taking undesirable outputs, integer-valued, and stochastic data into account changes the efficiency of service providers. The system is also able to provide the optimal composition of CSPs to suit a customer’s priorities and requirements.

Publication DOI: https://doi.org/10.1007/s10479-023-05257-x
Divisions: College of Business and Social Sciences > Aston Business School
College of Business and Social Sciences > Aston Business School > Operations & Information Management
College of Business and Social Sciences
Aston University (General)
Additional Information: Copyright © Springer Nature B.V. 2023. The final publication is available at Springer via https://doi.org/10.1007/s10479-023-05257-x
Uncontrolled Keywords: Cloud service providers,Efficiency evaluation,Industry 4.0,Two-stage network data envelopment analysis (DEA),General Decision Sciences,Management Science and Operations Research
Publication ISSN: 1572-9338
Last Modified: 09 Dec 2024 08:58
Date Deposited: 19 Jan 2024 11:03
Full Text Link:
Related URLs: https://link.sp ... 479-023-05257-x (Publisher URL)
http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2023-03-09
Published Online Date: 2023-03-09
Accepted Date: 2023-02-23
Authors: Azadi, Majid (ORCID Profile 0000-0002-6865-7637)
Toloo, Mehdi
Ramezani, Fahimeh
Saen, Reza Farzipoor
Hussain, Farookh Khadeer
Farnoudkia, Hajar

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