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      Exploring Risks Transferred from Cloud-Based Information Systems: A Quantitative and Longitudinal Model

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          Abstract

          With the growing popularity of Internet of Things (IoT) and Cyber-Physical Systems (CPS), cloud- based systems have assumed a greater important role. However, there lacks formal approaches to modeling the risks transferred through information systems implemented in a cloud-based environment. This paper explores formal methods to quantify the risks associated with an information system and evaluate its variation throughout its implementation. Specifically, we study the risk variation through a quantitative and longitudinal model spanning from the launch of a cloud-based information systems project to its completion. In addition, we propose to redefine the risk estimation method to differentiate a mitigated risk from an unmitigated risk. This research makes valuable contributions by helping practitioners understand whether cloud computing presents a competitive advantage or a threat to the sustainability of a company.

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          Most cited references45

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          A view of cloud computing

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            On Organizational Becoming: Rethinking Organizational Change

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              Qualitative Research and the Academy of Management Journal.

              R. Gephart (2004)
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                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                16 October 2018
                October 2018
                : 18
                : 10
                : 3488
                Affiliations
                [1 ]Polytech Nantes, University of Nantes, 44200 Nantes, France; wafa.bouaynaya@ 123456univ-nantes.fr
                [2 ]College of Logistics and E-Commerce, Zhejiang Wanli University, Ningbo 315100, China
                [3 ]Coggin College of Business, University of North Florida, Jacksonville, FL 32224, USA
                Author notes
                [* ]Correspondence: lvhongbo@ 123456zwu.edu.cn (H.L.); justin.zhang@ 123456unf.edu (Z.Z.); Tel.: +86-0574-8822-2395 (H.L.)
                Author information
                https://orcid.org/0000-0002-1116-134X
                https://orcid.org/0000-0002-4074-9505
                Article
                sensors-18-03488
                10.3390/s18103488
                6210535
                30332831
                e8cdcdca-94a7-4e0d-ac33-9e29cc7a4b15
                © 2018 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 30 August 2018
                : 12 October 2018
                Categories
                Article

                Biomedical engineering
                cloud computing,is risk,mathematical modeling,longitudinal study,organizational transformation

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