IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v142y2006i1p19-3910.1007-s10479-006-6159-x.html
   My bibliography  Save this article

Extending the stochastic programming framework for the modeling of several decision makers: pricing and competition in the telecommunication sector

Author

Listed:
  • Jan-Arild Audestad
  • Alexei Gaivoronski
  • Adrian Werner

Abstract

We consider the case when part of the uncertainty faced by a decision maker is derived from actions of another independent actor who pursues her own aims. Each party sets its decisions in the next time period in response to the other party's policy. We model this situation by introducing some ideas from game theory, but unlike this theory we do not focus on equilibrium and related optimality notions. Instead, we follow the framework of stochastic programming and take the view of one of the decision makers. Our model is placed in a telecommunication environment with a network owner and operators without their own network facilities. We give an extension to a multiperiod model. Copyright Springer Science + Business Media, Inc. 2006

Suggested Citation

  • Jan-Arild Audestad & Alexei Gaivoronski & Adrian Werner, 2006. "Extending the stochastic programming framework for the modeling of several decision makers: pricing and competition in the telecommunication sector," Annals of Operations Research, Springer, vol. 142(1), pages 19-39, February.
  • Handle: RePEc:spr:annopr:v:142:y:2006:i:1:p:19-39:10.1007/s10479-006-6159-x
    DOI: 10.1007/s10479-006-6159-x
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s10479-006-6159-x
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s10479-006-6159-x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Hanif D. Sherali & Joanna M. Leleno, 1988. "A Mathematical Programming Approach to a Nash-Cournot Equilibrium Analysis for a Two-Stage Network of Oligopolies," Operations Research, INFORMS, vol. 36(5), pages 682-702, October.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Nihat Kasap & Hasan Hüseyin Turan & Hüseyin Savran & Berna Tektas-Sivrikaya & Dursun Delen, 2018. "Provider selection and task allocation in telecommunications with QoS degradation policy," Annals of Operations Research, Springer, vol. 263(1), pages 311-337, April.
    2. Hélène Le Cadre & Mustapha Bouhtou & Bruno Tuffin, 2009. "Consumers’ preference modeling to price bundle offers in the telecommunications industry: a game with competition among operators," Netnomics, Springer, vol. 10(2), pages 171-208, October.
    3. Yiting Xing & Ling Li & Zhuming Bi & Marzena Wilamowska‐Korsak & Li Zhang, 2013. "Operations Research (OR) in Service Industries: A Comprehensive Review," Systems Research and Behavioral Science, Wiley Blackwell, vol. 30(3), pages 300-353, May.
    4. Cricelli, Livio & Grimaldi, Michele & Ghiron, Nathan Levialdi, 2011. "The competition among mobile network operators in the telecommunication supply chain," International Journal of Production Economics, Elsevier, vol. 131(1), pages 22-29, May.
    5. Beck, Yasmine & Ljubić, Ivana & Schmidt, Martin, 2023. "A survey on bilevel optimization under uncertainty," European Journal of Operational Research, Elsevier, vol. 311(2), pages 401-426.
    6. Cricelli, Livio & Grimaldi, Michele & Levialdi Ghiron, Nathan, 2012. "The impact of regulating mobile termination rates and MNO–MVNO relationships on retail prices," Telecommunications Policy, Elsevier, vol. 36(1), pages 1-12.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Haruo Horaguchi, 2008. "Economics of Reciprocal Networks: Collaboration in Knowledge and Emergence of Industrial Clusters," Computational Economics, Springer;Society for Computational Economics, vol. 31(4), pages 307-339, May.
    2. Eleni Dalla & Christos Karpetis & Erotokritos Varelas, 2014. "Monetary Policy Implications on Banking Conduct and Bank Clients’ Behavior," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 42(4), pages 427-440, December.

    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:spr:annopr:v:142:y:2006:i:1:p:19-39:10.1007/s10479-006-6159-x. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.