IDEAS home Printed from https://ideas.repec.org/a/pal/jorapm/v23y2024i2d10.1057_s41272-023-00437-7.html
   My bibliography  Save this article

Optimal pricing policy in the presence of positive and negative network effects

Author

Listed:
  • Nako Iwaji

    (Kanagawa University)

  • Kimitoshi Sato

    (Kanagawa University)

Abstract

We propose an optimal pricing model for products with both positive and negative network effects. A closed-form expression of the optimal pricing policy is derived under the assumption that the demand function is linear. When there are two customer types with different attitudes towards congestion, the monotonicity of the optimal price differs according to the price sensitivity of each customer type. We show that even if the number of customers who are averse to congestion increases, if the negative-type price sensitivity is low and the positive network effect is weak, increasing the optimal price will increase total profit.

Suggested Citation

  • Nako Iwaji & Kimitoshi Sato, 2024. "Optimal pricing policy in the presence of positive and negative network effects," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 23(2), pages 112-118, April.
  • Handle: RePEc:pal:jorapm:v:23:y:2024:i:2:d:10.1057_s41272-023-00437-7
    DOI: 10.1057/s41272-023-00437-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41272-023-00437-7
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1057/s41272-023-00437-7?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. Ruxian Wang & Zizhuo Wang, 2017. "Consumer Choice Models with Endogenous Network Effects," Management Science, INFORMS, vol. 63(11), pages 3944-3960, November.
    2. Fatemeh Nosrat & William L. Cooper & Zizhuo Wang, 2021. "Pricing for a product with network effects and mixed logit demand," Naval Research Logistics (NRL), John Wiley & Sons, vol. 68(2), pages 159-182, March.
    3. Ming Hu & Zizhuo Wang & Yinbo Feng, 2020. "Information Disclosure and Pricing Policies for Sales of Network Goods," Operations Research, INFORMS, vol. 68(4), pages 1162-1177, July.
    4. Chenhao Du & William L. Cooper & Zizhuo Wang, 2016. "Optimal Pricing for a Multinomial Logit Choice Model with Network Effects," Operations Research, INFORMS, vol. 64(2), pages 441-455, April.
    5. H. Leibenstein, 1950. "Bandwagon, Snob, and Veblen Effects in the Theory of Consumers' Demand," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 64(2), pages 183-207.
    Full references (including those not matched with items on IDEAS)

    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. Fatemeh Nosrat & William L. Cooper & Zizhuo Wang, 2021. "Pricing for a product with network effects and mixed logit demand," Naval Research Logistics (NRL), John Wiley & Sons, vol. 68(2), pages 159-182, March.
    2. Nan Yang & Renyu Zhang, 2022. "Dynamic pricing and inventory management in the presence of online reviews," Production and Operations Management, Production and Operations Management Society, vol. 31(8), pages 3180-3197, August.
    3. Wei Qi & Xinggang Luo & Xuwang Liu & Yang Yu & Zhongliang Zhang, 2019. "Product Line Pricing under Marginal Moment Model with Network Effect," Complexity, Hindawi, vol. 2019, pages 1-13, February.
    4. Ruxian Wang, 2018. "When Prospect Theory Meets Consumer Choice Models: Assortment and Pricing Management with Reference Prices," Manufacturing & Service Operations Management, INFORMS, vol. 20(3), pages 583-600, July.
    5. Jiali Huang & Ankur Mani & Zizhuo Wang, 2022. "The Value of Price Discrimination in Large Social Networks," Management Science, INFORMS, vol. 68(6), pages 4454-4477, June.
    6. Woonghee T. Huh & Hongmin Li, 2023. "Product‐line pricing with dual objective of profit and consumer surplus," Production and Operations Management, Production and Operations Management Society, vol. 32(4), pages 1223-1242, April.
    7. Francisco B. Galarza & Gabriella Wong, 2017. "The Impact of Price Information on Consumer Behavior: An Experiment," Working Papers 106, Peruvian Economic Association.
    8. Paul DiMaggio & Joseph Cohen, 2003. "Information Inequality and Network Externalities: A Comparative Study of the Diffusion of Television and the Internet," Working Papers 36, Princeton University, School of Public and International Affairs, Center for Arts and Cultural Policy Studies..
    9. Sergio Currarini & Carmen Marchiori & Alessandro Tavoni, 2016. "Network Economics and the Environment: Insights and Perspectives," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 65(1), pages 159-189, September.
    10. Kverndokk, Snorre & Figenbaum, Erik & Hovi, Jon, 2020. "Would my driving pattern change if my neighbor were to buy an emission-free car?," Resource and Energy Economics, Elsevier, vol. 60(C).
    11. Xi Chen & Zachary Owen & Clark Pixton & David Simchi-Levi, 2022. "A Statistical Learning Approach to Personalization in Revenue Management," Management Science, INFORMS, vol. 68(3), pages 1923-1937, March.
    12. Li, Hui & Xu, Yunjie & Huang, Lihua, 2021. "When less is more? The contingent effect of product supply limitation in the release of new electronic products," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).
    13. Jingze Jiang, 2016. "Peer Pressure in Voluntary Environmental Programs: a Case of the Bag Rewards Program," Journal of Industry, Competition and Trade, Springer, vol. 16(2), pages 155-190, June.
    14. Tong Wang & Xiaofang Wang, 2017. "Intertemporal pricing strategies for fashion tech products with consumption externalities," Frontiers of Business Research in China, Springer, vol. 11(1), pages 1-14, December.
    15. Jun Honda, 2015. "Games with the Total Bandwagon Property," Department of Economics Working Papers wuwp197, Vienna University of Economics and Business, Department of Economics.
    16. Mirta B. Gordon & Jean-Pierre Nadal & Denis Phan & Viktoriya Semeshenko, 2012. "Entanglement between Demand and Supply in Markets with Bandwagon Goods," Papers 1209.1321, arXiv.org, revised Dec 2012.
    17. Bernheim, B Douglas, 1994. "A Theory of Conformity," Journal of Political Economy, University of Chicago Press, vol. 102(5), pages 841-877, October.
    18. Cappetta, Rossella & Cillo, Paola & Ponti, Anna, 2006. "Convergent designs in fine fashion: An evolutionary model for stylistic innovation," Research Policy, Elsevier, vol. 35(9), pages 1273-1290, November.
    19. Gaenssle Sophia & Budzinski Oliver & Astakhova Daria, 2018. "Conquering the Box Office: Factors Influencing Success of International Movies in Russia," Review of Network Economics, De Gruyter, vol. 17(4), pages 245-266, December.
    20. Ramalingam, Abhijit, 2009. ""Endogenous" Relative Concerns: The Impact of Workers' Characteristics on Status and Pro ts in the Firm," MPRA Paper 18759, University Library of Munich, Germany.

    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:pal:jorapm:v:23:y:2024:i:2:d:10.1057_s41272-023-00437-7. 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.palgrave.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.