IDEAS home Printed from https://ideas.repec.org/p/net/wpaper/0402.html
   My bibliography  Save this paper

Adware, Shareware, and Consumer Privacy

Author

Listed:
  • Nataly Gantman

    () (Tel Aviv University)

  • Yossi Spiegel

    () (Tel Aviv University)

Abstract

Programmers can distribute new software to online users either for a fee as shareware or bundle it with advertising banners and distribute it for free as adware. In this paper we study the programmers’ choice between these two modes of distribution in the context of a model that take explicit account of the strategic interaction between programmers who develop software, …rms that advertise their products through ad banners, and consumers who buy software and consumer products. Adware allows advertisers to send targeted information to speci…c consumers and may therefore improve their purchasing decisions. At the same time, adware also raises privacy concerns. We study the e¤ect of programmers’ choice between shareware and adware on consumers’ welfare through its e¤ect on the bene… cial information that consumers receive about consumers products on the one hand and their loss of privacy on the other hand. We also examine the implications of improvements in the technology of ad banners and the desirability of bans on the use of adware.

Suggested Citation

  • Nataly Gantman & Yossi Spiegel, 2004. "Adware, Shareware, and Consumer Privacy," Working Papers 04-02, NET Institute, revised Oct 2004.
  • Handle: RePEc:net:wpaper:0402
    as

    Download full text from publisher

    File URL: http://www.netinst.org/Gantman_Spiegel.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Alessandro Acquisti & Hal R. Varian, 2005. "Conditioning Prices on Purchase History," Marketing Science, INFORMS, vol. 24(3), pages 367-381, May.
    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. Il-Horn Hann & Kai-Lung Hui & Sang-Yong T. Lee & Ivan P. L. Png, 2008. "Consumer Privacy and Marketing Avoidance: A Static Model," Management Science, INFORMS, vol. 54(6), pages 1094-1103, June.

    More about this item

    Keywords

    adware; shareware; advertising; privacy; ad banners;

    JEL classification:

    • L12 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Monopoly; Monopolization Strategies
    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
    • M37 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Advertising

    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:net:wpaper:0402. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Nicholas Economides). General contact details of provider: http://www.NETinst.org/ .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.