IDEAS home Printed from https://ideas.repec.org/p/zbw/bayism/60.html
   My bibliography  Save this paper

Is zero the best price? Optimal pricing of mobile applications

Author

Listed:
  • Buck, Christoph
  • Graf, Julia

Abstract

[Introduction ...] This leads us to our major research question: How to optimally set prices of mobile applications depending on their utility-classification? Each of the following chapters sequentially contributes to the answer of this question. Chapter 2 focuses on the managerial relevance of pricing and the specific characteristics of mobile applications. In chapter 3, we develop a model for mobile application pricing and derive advises for profit-maximizing mobile application pricing. The article closes with a discussion and conclusion in chapter 4.

Suggested Citation

  • Buck, Christoph & Graf, Julia, 2015. "Is zero the best price? Optimal pricing of mobile applications," Bayreuth Reports on Information Systems Management 60, University of Bayreuth, Chair of Information Systems Management.
    • Handle: RePEc:zbw:bayism:60
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/107680/1/819558893.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Cabral, Luis M. B. & Salant, David J. & Woroch, Glenn A., 1999. "Monopoly pricing with network externalities," International Journal of Industrial Organization, Elsevier, vol. 17(2), pages 199-214, February.
    2. Katz, Michael L & Shapiro, Carl, 1985. "Network Externalities, Competition, and Compatibility," American Economic Review, American Economic Association, vol. 75(3), pages 424-440, June.
    3. Thomas Hutzschenreuter & Torben Pedersen & Henk W Volberda, 2007. "The role of path dependency and managerial intentionality: a perspective on international business research," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 38(7), pages 1055-1068, December.
    4. Ozan Candogan & Kostas Bimpikis & Asuman Ozdaglar, 2012. "Optimal Pricing in Networks with Externalities," Operations Research, INFORMS, vol. 60(4), pages 883-905, August.
    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. Jullien, Bruno & Pavan, Alessandro & Rysman, Marc, 2021. "Two-sided Markets, Pricing, and Network Effects," TSE Working Papers 21-1238, Toulouse School of Economics (TSE).
    2. Yang Zhang & Ying-Ju Chen, 2020. "Optimal Nonlinear Pricing in Social Networks Under Asymmetric Network Information," Operations Research, INFORMS, vol. 68(3), pages 818-833, May.
    3. Aoyagi, Masaki, 2018. "Bertrand competition under network externalities," Journal of Economic Theory, Elsevier, vol. 178(C), pages 517-550.
    4. Ying‐Ju Chen & Yves Zenou & Junjie Zhou, 2018. "Competitive pricing strategies in social networks," RAND Journal of Economics, RAND Corporation, vol. 49(3), pages 672-705, September.
    5. Tavasoli, Ali & Fazli, Mehrdad & Ardjmand, Ehsan & Young, William A. & Shakeri, Heman, 2023. "Competitive pricing under local network effects," European Journal of Operational Research, Elsevier, vol. 311(2), pages 545-566.
    6. Xuemeng Zhao & Weilun Huang, 2024. "Global Geopolitical Changes and New/Renewable Energy Game," Energies, MDPI, vol. 17(16), pages 1-27, August.
    7. 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.
    8. Ostrizek, Franz & Sartori, Elia, 2023. "Screening while controlling an externality," Games and Economic Behavior, Elsevier, vol. 139(C), pages 26-55.
    9. Jullien, Bruno, 2001. "Competing with Network Externalities and Price Discrimination," CEPR Discussion Papers 2883, C.E.P.R. Discussion Papers.
    10. Elias Carroni & Paolo Pin & Simone Righi, 2020. "Bring a Friend! Privately or Publicly?," Management Science, INFORMS, vol. 66(5), pages 2269-2290, May.
    11. Alexandre Belloni & Changrong Deng & Saša Pekeč, 2017. "Mechanism and Network Design with Private Negative Externalities," Operations Research, INFORMS, vol. 65(3), pages 577-594, June.
    12. Chen, Ying-Ju & Zenou, Yves & Zhou, Junjie, 2022. "The impact of network topology and market structure on pricing," Journal of Economic Theory, Elsevier, vol. 204(C).
    13. Corrado Benassi & Marcella Scrimitore, 2017. "Income Distribution in Network Markets," Journal of Industry, Competition and Trade, Springer, vol. 17(3), pages 251-271, September.
    14. Ruxian Wang & Zizhuo Wang, 2017. "Consumer Choice Models with Endogenous Network Effects," Management Science, INFORMS, vol. 63(11), pages 3944-3960, November.
    15. Domenico Buccella & Luciano Fanti & Luca Gori, 2023. "Strategic product compatibility in network industries," Journal of Economics, Springer, vol. 140(2), pages 141-168, October.
    16. Li, Jian & Zhou, Junjie & Chen, Ying-Ju, 2021. "The Limit of Targeting in Networks," ISU General Staff Papers 202112081957590000, Iowa State University, Department of Economics.
    17. 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.
    18. Li, Jian & Zhou, Junjie & Chen, Ying-Ju, 2022. "The limit of targeting in networks," Journal of Economic Theory, Elsevier, vol. 201(C).
    19. Pekka Sääskilahti, 2016. "Buying Decision Coordination and Monopoly Pricing of Network Goods," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 25(2), pages 313-333, April.
    20. Ozan Candogan & Kimon Drakopoulos, 2020. "Optimal Signaling of Content Accuracy: Engagement vs. Misinformation," Operations Research, INFORMS, vol. 68(2), pages 497-515, March.

    More about this item

    Keywords

    Optimal Pricing; Mobile Applications; Apps; Price;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:zbw:bayism:60. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/rwbayde.html .

    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.