IDEAS home Printed from https://ideas.repec.org/a/igg/jtd000/v12y2021i3p23-43.html
   My bibliography  Save this article

Evaluation of Technological Solutions and Requirements for Cloud TV Services Based on Decision Support Systems

Author

Listed:
  • Georgia Dede

    (Harokopion University, Greece)

  • Evangelia Filiopoulou

    (Harokopion University, Greece)

  • Georgios Chatzithanasis

    (Harokopion University, Greece)

  • Thomas Kamalakis

    (Harokopion University, Greece)

  • Christos Michalakelis

    (Harokopion University, Greece)

Abstract

Cloud TV will play an important role in future pay TV services and is quickly becoming the next arena for TV content providers. This emphasizes the need for a technology roadmap to address several key issues that may affect the deployment of future Cloud TV services. Three alternative technologies, Internet Protocol TV (IPTV), Over the Top (OTT), and Smart TV have been investigated. The methodology used is the analytic hierarchy process based on a decision support system developed for this study. The current work implements and verifies a transparent road mapping model for Cloud TV solutions. The results indicate that OTT seems to be the most efficient and valuable choice and reveal an important blend of social, economic, technological requirements to be taken into account when deploying and/or adopting Cloud TV services from a pay TV operator. Sensitivity analysis is performed to investigate the stability of the results and the accuracy of the approach. The findings will be an important guide for the development of Cloud TV solutions and the improvement of those already deployed.

Suggested Citation

  • Georgia Dede & Evangelia Filiopoulou & Georgios Chatzithanasis & Thomas Kamalakis & Christos Michalakelis, 2021. "Evaluation of Technological Solutions and Requirements for Cloud TV Services Based on Decision Support Systems," International Journal of Technology Diffusion (IJTD), IGI Global, vol. 12(3), pages 23-43, July.
    • Handle: RePEc:igg:jtd000:v:12:y:2021:i:3:p:23-43
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJTD.2021070102
    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:jtd000:v:12:y:2021:i:3:p:23-43. 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.