Shikha Gupta
University Institute of Engineering (CSE), Chandigarh University, Punjab, India.

Subhendu Kumar Pani
Krupajal Engineering College, Biju Patnaik University of Technology, Odisha, India.

Kamalakanta Muduli
Papua New Guinea University of Technology, Papua New Guinea. Guinea.

Arti Vaish
School of Engineering and Technology, Sushant University, Gurugram, India.

Anil Kumar
Supply Chain and Business Analytics, London Metropolitan University, United Kingdom

DOI https://doi.org/10.33889/IJMEMS.2023.8.1.005

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Abstract

To meet the ever-increasing demand for offering a sustainable environment, organizations are beginning to aim for cloud adoption and the migration of their IT infrastructure and operations to the cloud, utilizing various cloud-based technologies. However, cloud adoption has been impeded by the risk of being exposed as a result of a variety of concerns, including performance, security, and privacy concerns, as well as vulnerabilities and data portability. As a result, this study was carried out to investigate and analyse a variety of risks that come with cloud computing adoption by estimating the impact and frequency of these hazards. In this study, the Analytical Network Process (ANP) is used to prioritise these hazards. Prioritization of these risks based on their influence on cloud adoption may be useful for organizations in building a corrective action plan. According to their negative influence on cloud adoption, "business continuity and recovery planning" and "poor availability of services" are shown to be the most prominent hazards. This research also found that the two most common dangers encountered by cloud adopters in India are "poor availability of services" and "slow response rate."

Keywords- Cloud, Sustainability, Risk, Analytical network process, Multi-criteria decision making, Cloud adoption.

Citation

Gupta, S., Pani, S. K. Muduli, K., Vaish, A., & Kumar, A. (2023). Risk Managed Cloud Adoption: An ANP Approach. International Journal of Mathematical, Engineering and Management Sciences, 8(1), 78-93. https://doi.org/10.33889/IJMEMS.2023.8.1.005.