IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-642-32054-5_155.html
   My bibliography  Save this book chapter

Pricing Decision Analysis for Information Services of the Internet of Things Based on Stackelberg Game

In: Liss 2012

Author

Listed:
  • Lijun Mei

    (Hunan University)

  • Wei Li

    (Hunan University)

  • Kai Nie

    (Hunan University)

Abstract

In order to study the pricing of information service market in the Internet of Things, we construct a pricing model based on Stackelberg game by Intermediaries and information providers. On this basis, the optimal strategies of information service providers and Intermediaries are obtained by game theory. Then, according to the results of numerical simulation we draw the conclusions that if the price of intelligent terminal equipment is expensive, the information provider shall adopt pure bundling strategy, whereas take pure components strategy. While the variation of evaluation value for consumer information products becomes bigger, pure bundling strategy should be taken by the information service providers. When the information provider wants to adopt pure components strategy, then the variation of evaluation value for consumer information products should be satisfied by certain conditions.

Suggested Citation

  • Lijun Mei & Wei Li & Kai Nie, 2013. "Pricing Decision Analysis for Information Services of the Internet of Things Based on Stackelberg Game," Springer Books, in: Zhenji Zhang & Runtong Zhang & Juliang Zhang (ed.), Liss 2012, edition 127, pages 1097-1104, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-32054-5_155
    DOI: 10.1007/978-3-642-32054-5_155
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

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


    Cited by:

    1. Yurong Ding & Yingjie Tian, 2024. "Research on Pricing of Data Based on Bi-level Programming Model," Annals of Data Science, Springer, vol. 11(4), pages 1391-1419, August.

    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:sprchp:978-3-642-32054-5_155. 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: 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.