IDEAS home Printed from https://ideas.repec.org/a/igg/jcac00/v10y2020i1p11-27.html
   My bibliography  Save this article

Strategic Outsourcing to Cloud Computing: A Comprehensive Framework Based on Analytic Hierarchy Process

Author

Listed:
  • Abdelwahhab SATTA

    (MISC Laboratory, University of Constantine 2, Constantine, Algeria)

  • Sihem Mostefai

    (MISC Laboratory, University of Constantine 2, Constantine, Algeria)

Abstract

A common misperception about cloud computing remains that it represents the ideal solution for outsourcing non-core competencies and a simple maneuver that drives costs down. However, the reality may be the complete opposite. The cloud paradigm changes several processes, patterns, practices, and philosophies; so, while the cloud adoption must be considered as a legitimate business strategy, its decision must also be made with a great deal of care. The purpose of this work is to provide organizations with a practical framework for decision-making about the cloud paradigm adoption, as a strategic outsourcing solution. This framework defines the guidelines to map the outsourcing to cloud computing to a comprehensive multi-criteria-decision-making (MCDM) problem, and relies on the analytic hierarchy process methodology providing both simplicity and mathematical rigor to resolve it. The framework is policy-centric and takes account of the organization's contexts, as it is also built on cloud standards and best practices.

Suggested Citation

  • Abdelwahhab SATTA & Sihem Mostefai, 2020. "Strategic Outsourcing to Cloud Computing: A Comprehensive Framework Based on Analytic Hierarchy Process," International Journal of Cloud Applications and Computing (IJCAC), IGI Global, vol. 10(1), pages 11-27, January.
  • Handle: RePEc:igg:jcac00:v:10:y:2020:i:1:p:11-27
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJCAC.2020010102
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jcac00:v:10:y:2020:i:1:p:11-27. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.