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Open AccessArticle

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

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Polytech Nantes, University of Nantes, 44200 Nantes, France
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College of Logistics and E-Commerce, Zhejiang Wanli University, Ningbo 315100, China
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Coggin College of Business, University of North Florida, Jacksonville, FL 32224, USA
*
Authors to whom correspondence should be addressed.
Sensors 2018, 18(10), 3488; https://doi.org/10.3390/s18103488
Received: 30 August 2018 / Revised: 2 October 2018 / Accepted: 12 October 2018 / Published: 16 October 2018
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. View Full-Text
Keywords: cloud computing; IS risk; mathematical modeling; longitudinal study; organizational transformation cloud computing; IS risk; mathematical modeling; longitudinal study; organizational transformation
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Bouaynaya, W.; Lyu, H.; Zhang, Z.J. Exploring Risks Transferred from Cloud-Based Information Systems: A Quantitative and Longitudinal Model. Sensors 2018, 18, 3488.

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