IDEAS home Printed from https://ideas.repec.org/p/net/wpaper/0606.html
   My bibliography  Save this paper

Flexible Investment Decisions in the Telecommunications Industry: Case Applications using Real Options

Author

Listed:
  • Fotios C. Harmantzis

    (Stevens Institute of Technology)

  • Lenos Trigeorgis

    (University of Cyprus and MIT)

  • Venkata Praveen Tanguturi

    (Stevens Institute of Technology)

Abstract

The telecommunications sector is one of the most innovative, high-growth, capitalintensive yet volatile sector of the economy. This research addresses critical concerns of how, when, and why an enterprise or a service provider should undertake new investments. The study investigates the power of flexibility in investment decision making process, by applying the real options methodology. Five case applications are studied: a) investment decisions in next generation wireless networks; b) investing in integrated wireless networks; c) migration to wireless broadband internet services; d) valuing deployment of Wi-Fi networks in enterprise markets; and e) valuing Hosted VOIP services for enterprise markets. The case studies are analyzed both qualitatively and quantitatively.

Suggested Citation

  • Fotios C. Harmantzis & Lenos Trigeorgis & Venkata Praveen Tanguturi, 2006. "Flexible Investment Decisions in the Telecommunications Industry: Case Applications using Real Options," Working Papers 06-06, NET Institute, revised Sep 2006.
    • Handle: RePEc:net:wpaper:0606
    as

    Download full text from publisher

    File URL: http://www.netinst.org/Harmantzis-Trigeorgis.pdf
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jiaqi Chen & Sang‐Ho Lee & Timur K. Muminov, 2022. "R&D spillovers, output subsidies, and privatization in a mixed duopoly: Flexible versus irreversible R&D investments," Bulletin of Economic Research, Wiley Blackwell, vol. 74(3), pages 879-899, July.
    2. Cihan Şahin, 2023. "Predicting base station return on investment in the telecommunications industry: Machine‐learning approaches," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 30(1), pages 29-40, January.

    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:net:wpaper:0606. 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: Nicholas Economides (email available below). General contact details of provider: http://www.NETinst.org/ .

    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.