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Risk perception and risk management in cloud computing: Results from a case study of Swiss companies

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  • Brender, Nathalie
  • Markov, Iliya

Abstract

In today's economic turmoil, the pay-per-use pricing model of cloud computing, its flexibility and scalability and the potential for better security and availability levels are alluring to both SMEs and large enterprises. However, cloud computing is fraught with security risks which need to be carefully evaluated before any engagement in this area. This article elaborates on the most important risks inherent to the cloud such as information security, regulatory compliance, data location, investigative support, provider lock-in and disaster recovery. We focus on risk and control analysis in relation to a sample of Swiss companies with regard to their prospective adoption of public cloud services. We observe a sufficient degree of risk awareness with a focus on those risks that are relevant to the IT function to be migrated to the cloud. Moreover, the recommendations as to the adoption of cloud services depend on the company's size with larger and more technologically advanced companies being better prepared for the cloud. As an exploratory first step, the results of this study would allow us to design and implement broader research into cloud computing risk management in Switzerland.

Suggested Citation

  • Brender, Nathalie & Markov, Iliya, 2013. "Risk perception and risk management in cloud computing: Results from a case study of Swiss companies," International Journal of Information Management, Elsevier, vol. 33(5), pages 726-733.
    • Handle: RePEc:eee:ininma:v:33:y:2013:i:5:p:726-733
    DOI: 10.1016/j.ijinfomgt.2013.05.004
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    Cited by:

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    3. Lian, Jiunn-Woei, 2015. "Critical factors for cloud based e-invoice service adoption in Taiwan: An empirical study," International Journal of Information Management, Elsevier, vol. 35(1), pages 98-109.
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    5. Jayalaxmi P Shetty & Rajesh Panda, 2021. "An overview of cloud computing in SMEs," Journal of Global Entrepreneurship Research, Springer;UNESCO Chair in Entrepreneurship, vol. 11(1), pages 175-188, December.
    6. Karaca, Yeliz & Moonis, Majaz & Zhang, Yu-Dong & Gezgez, Caner, 2019. "Mobile cloud computing based stroke healthcare system," International Journal of Information Management, Elsevier, vol. 45(C), pages 250-261.
    7. Hsu, Pei-Fang & Ray, Soumya & Li-Hsieh, Yu-Yu, 2014. "Examining cloud computing adoption intention, pricing mechanism, and deployment model," International Journal of Information Management, Elsevier, vol. 34(4), pages 474-488.
    8. Mirchandani, Dinesh A. & Lederer, Albert L., 2014. "The impact of core and infrastructure business activities on information systems planning and effectiveness," International Journal of Information Management, Elsevier, vol. 34(5), pages 622-633.
    9. de Gusmão, Ana Paula Henriques & e Silva, Lúcio Camara & Silva, Maisa Mendonça & Poleto, Thiago & Costa, Ana Paula Cabral Seixas, 2016. "Information security risk analysis model using fuzzy decision theory," International Journal of Information Management, Elsevier, vol. 36(1), pages 25-34.
    10. Wang, Feng-Kwei & He, Wu, 2014. "Service strategies of small cloud service providers: A case study of a small cloud service provider and its clients in Taiwan," International Journal of Information Management, Elsevier, vol. 34(3), pages 406-415.
    11. Rodríguez-Espíndola, Oscar & Chowdhury, Soumyadeb & Dey, Prasanta Kumar & Albores, Pavel & Emrouznejad, Ali, 2022. "Analysis of the adoption of emergent technologies for risk management in the era of digital manufacturing," Technological Forecasting and Social Change, Elsevier, vol. 178(C).

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