IDEAS home Printed from
   My bibliography  Save this paper

Mapping physical network roles to relative abstract roles in financial models: Measuring business characteristics for internet-based services


  • Evenepoel, Simon
  • Van der Wee, Marlies
  • Verbrugge, Sofie
  • Lannoo, Bart
  • Pickavet, Mario


In the current telecommunications domain, a clear trend towards vertical disintegration is observed, whereas multiple actors take up different roles in the value chain instead of one monopoly operator that is responsible for the full service delivery. Although this trend is observed in different network technologies (fixed, wireless, mobile, satellite) and for different applications (digital TV, mobile applications, health services, etc.), cross-domain case comparisons are hard to make due to the distinct definitions of roles and actors. However, despite this lack of common framework, clear similarities exist that could make room for a qualitative comparison of the different interaction models, which is the scope of this paper. By defining relative abstract roles (offer, delivery platform and support platform) and the interactions between these roles as revenue streams, different financial models are identified. By mapping them on physical network roles in specific cases, these financial models are analyzed with respect to business characteristics such as innovation, competition, sustainability and standardization. The paper concludes that Over-The-Top financial models stimulate standardization, while Single Interaction Point models are more sustainable and hence support technological innovation. Indirect Support models balance out advantages and disadvantages of the two other types of models, and are therefore more neutral.

Suggested Citation

  • Evenepoel, Simon & Van der Wee, Marlies & Verbrugge, Sofie & Lannoo, Bart & Pickavet, Mario, 2013. "Mapping physical network roles to relative abstract roles in financial models: Measuring business characteristics for internet-based services," 24th European Regional ITS Conference, Florence 2013 88493, International Telecommunications Society (ITS).
  • Handle: RePEc:zbw:itse13:88493

    Download full text from publisher

    File URL:
    Download Restriction: no

    References listed on IDEAS

    1. Shane Greenstein & Ryan McDevitt, 2012. "Measuring the Broadband Bonus in Thirty OECD Countries," OECD Digital Economy Papers 197, OECD Publishing.
    2. Koutroumpis, Pantelis, 2009. "The economic impact of broadband on growth: A simultaneous approach," Telecommunications Policy, Elsevier, vol. 33(9), pages 471-485, October.
    3. Timothy F. Bresnahan & Erik Brynjolfsson & Lorin M. Hitt, 2002. "Information Technology, Workplace Organization, and the Demand for Skilled Labor: Firm-Level Evidence," The Quarterly Journal of Economics, Oxford University Press, vol. 117(1), pages 339-376.
    4. Rohman, Ibrahim Kholilul & Bohlin, Erik, 2012. "Does broadband speed really matter for driving economic growth? Investigating OECD countries," 23rd European Regional ITS Conference, Vienna 2012 60385, International Telecommunications Society (ITS).
    5. O'Mahony, Mary & Robinson, Catherine & Vecchi, Michela, 2008. "The impact of ICT on the demand for skilled labour: A cross-country comparison," Labour Economics, Elsevier, vol. 15(6), pages 1435-1450, December.
    6. Bertschek, Irene & Cerquera, Daniel & Klein, Gordon J., 2011. "More bits - more bucks? Measuring the impact of broadband internet on firm performance," ZEW Discussion Papers 11-032, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
    7. Erik Brynjolfsson & Lorin M. Hitt, 2003. "Computing Productivity: Firm-Level Evidence," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 793-808, November.
    Full references (including those not matched with items on IDEAS)

    More about this item


    Multi-Actor Analysis; Telecommunications; Financial model;

    NEP fields

    This paper has been announced in the following NEP Reports:


    Access and download statistics


    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:zbw:itse13:88493. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (ZBW - German National Library of Economics). General contact details of provider: .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.