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

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  • 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
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    References listed on IDEAS

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    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.
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    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. 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.
    5. Natnael Nigussie Goshu & Semu Mitiku Kassa, 2024. "A solution method for stochastic multilevel programming problems. A systematic sampling evolutionary approach," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 34(1), pages 149-174.
    6. 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.
    7. 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.

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