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Characterization of Cloud Computing Reversibility as Explored by the DELPHI Method

Author

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  • Wafa Bouaynaya

    (CRIISEA - Centre de Recherche sur les Institutions, l'Industrie et les Systèmes Économiques d'Amiens - UR UPJV 3908 - UPJV - Université de Picardie Jules Verne)

Abstract

Cloud computing already raises numerous security questions related to outsourced data confidentiality. Several companies are starting to require the reversibility of their cloud computing. They want to redirect their information systems to another provider or backsourcing their activities. Cloud computing reversibility is considered to be one of the first obstacles to service development; however, few researches have been conducted on this field. We propose characterizing the reversibility of cloud computing using a deductive approach. We suggest ten research hypotheses that identify the guarantees, objectives and process of reversibility. This research is based on a three-lap Delphi method, supported by 18 experts working on cloud computing projects. This article contributes to characterizing cloud computing reversibility and parametric theorization through a new coefficient of concordance proposal. This indicator helps to assess the experts' agreement to or rejection of a hypothesis. \textcopyright 2019, Springer Science+Business Media, LLC, part of Springer Nature.

Suggested Citation

  • Wafa Bouaynaya, 2020. "Characterization of Cloud Computing Reversibility as Explored by the DELPHI Method," Post-Print hal-03678283, HAL.
    • Handle: RePEc:hal:journl:hal-03678283
    DOI: 10.1007/s10796-019-09947-5
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    Cited by:

    1. John Oredo & Denis Dennehy, 2023. "Exploring the Role of Organizational Mindfulness on Cloud Computing and Firm Performance: The Case of Kenyan Organizations," Information Systems Frontiers, Springer, vol. 25(5), pages 2029-2050, October.

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