Influential factor analysis for cloud computing technology service provider

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dc.contributor.authorBuyukozkan, Gulcin
dc.contributor.authorUzturk, Deniz
dc.contributor.authorMaden, Ayca
dc.date.accessioned2024-03-13T10:35:09Z
dc.date.available2024-03-13T10:35:09Z
dc.date.issued2023
dc.departmentİstanbul Beykent Üniversitesien_US
dc.description.abstractNowadays, computer processes and applications are run on remote Internet servers providing many cloud ser-vices for their users. The increasing number of services, whose features are continually being refreshed, make it challenging to choose the most appropriate option. Evaluation of CCT (Cloud Computing Technology) service providers requires identifying important criteria and their impact on users' decision-making. This paper provides a detailed literature review of these criteria. The method is based on Multi-Criteria Decision-Making (MCDM) since unfavorable and beneficial criteria must be evaluated together to ensure that decision-making is efficient and comprehensive. The process is handled by gathering linguistic expert evaluations on different CCT service providers using a group decision-making (GDM) approach. The 2-Tuple DEMATEL method is applied to reveal the relationships between criteria and dimensions. The weights of the evaluation criteria are determined based on the findings of the empirical study. The impacts of each evaluation criterion are also obtained. The proposed framework enables IT managers and/or related managers to better evaluate CCT services. The empirical findings may produce a guide for users to find out about the system components of CCT. The research results will help companies assess and select the most suitable CCT using linguistic evaluation. The originality of this paper comes from its comprehensive strategical analysis of key factors of CCT to determine standards for service provider assessment. In addition, the researchers recommend the linguistic DEMATEL application, in which decision -makers (DMs) use the linguistic set with which they are comfortable and familiar to assess the relationship between evaluation dimensions and criteria.en_US
dc.description.sponsorshipScientific Research Projects Commission of Galatasaray University [FOA-2021-1059]en_US
dc.description.sponsorshipThis article is generated based on Ayca Maden's master's thesis su- pervised by Prof. Gulcin Buyukozkan. The authors thank the support of industrial experts. The authors acknowledge the Editor and the anony- mous reviewers for their valuable comments that helped improve the previous version of the paper. This work has been supported by the Scientific Research Projects Commission of Galatasaray University under grant number FOA-2021-1059.en_US
dc.identifier.doi10.1016/j.techfore.2023.122531
dc.identifier.issn0040-1625
dc.identifier.issn1873-5509
dc.identifier.scopus2-s2.0-85153879656en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1016/j.techfore.2023.122531
dc.identifier.urihttps://hdl.handle.net/20.500.12662/4281
dc.identifier.volume192en_US
dc.identifier.wosWOS:000991510200001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevier Science Incen_US
dc.relation.ispartofTechnological Forecasting And Social Changeen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCloud computing technologyen_US
dc.subjectTechnology service provider evaluationen_US
dc.subjectMCDMen_US
dc.subjectDEMATELen_US
dc.subject2-Tuple linguistic modelen_US
dc.titleInfluential factor analysis for cloud computing technology service provideren_US
dc.typeArticleen_US

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