• DocumentCode
    2308419
  • Title

    Positioning cloud computing in machine to machine business models

  • Author

    Juliandri, Arkav ; Musida, Meis ; Supriyadi

  • Author_Institution
    Dept. of Strategic & Bus. Innovation, PT XL Axiata Tbk, Jakarta, Indonesia
  • fYear
    2012
  • fDate
    26-27 April 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The concept and implementation of cloud computing have attracted more and more attention from industry and research community. In this paper, we explore how the industry moves beyond the buzzword of cloud computing and put it into the actual business benefits. Machine to machine (M2M) is selected as the field of implementation as it is hailed as the next big thing in the area of mobile communication services. It represents a sizeable and growing market opportunity and is now gaining its momentum. The business model canvas serves as a guideline to show the real value of cloud computing for M2M players. As it is showed in this paper, cloud computing plays a crucial role of how an organization creates, delivers, and captures value for the end users. Such alignment helps key decision makers to understand how the business works and to decide the focus area. It is believed that M2M players who leverage on the cloud computing benefits will have the big possibilities to lead the market.
  • Keywords
    business data processing; cloud computing; corporate modelling; organisational aspects; business benefits; business model canvas; cloud computing; machine-to-machine business models; market opportunity; mobile communication services; organization; Biological system modeling; Cloud computing; Computational modeling; Law; Mathematical model; Organizations; business model canvas; business models; cloud computing; machine to machine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing and Social Networking (ICCCSN), 2012 International Conference on
  • Conference_Location
    Bandung, West Java
  • Print_ISBN
    978-1-4673-1815-0
  • Type

    conf

  • DOI
    10.1109/ICCCSN.2012.6215726
  • Filename
    6215726