IDEAS home Printed from https://ideas.repec.org/a/spr/wirtsc/v96y2016i9d10.1007_s10273-016-2029-6.html
   My bibliography  Save this article

Big Data aus wettbewerblicher Sicht
[Big Data from a Competitive Perspective]

Author

Listed:
  • Ralf Dewenter

    (Helmut-Schmidt-Universität)

  • Hendrik Lüth

    (Helmut-Schmidt-Universität)

Abstract

Zusammenfassung Geschäftsmodelle der digitalen Ökonomie basieren auf dem Angebot von Inhalten und Diensten, die von den Kunden teilweise mit personenbezogenen Informationen bezahlt werden. Vorteile entstehen, weil dies zu einer effizienteren Bereitstellung von Gütern und Dienstleistungen führen kann. Nachteile liegen bei einer Gefährdung des Datenschutzes. Wettbewerbsprobleme ergeben sich, wenn es durch Big Data zu einem Zuwachs von Marktmacht kommt. Die Autoren halten die Instrumente des Wettbewerbsrechts durchaus für tauglich, um diese Probleme zu bewältigen. Allerdings sollte das Datenschutzrecht an die digitale Wirtschaft angepasst werden. Insbesondere sollte Transparenz darüber herrschen, wie die Plattformen die erhobenen Daten verwenden und welche Daten überhaupt gesammelt werden.

Suggested Citation

  • Ralf Dewenter & Hendrik Lüth, 2016. "Big Data aus wettbewerblicher Sicht [Big Data from a Competitive Perspective]," Wirtschaftsdienst, Springer;ZBW - Leibniz Information Centre for Economics, vol. 96(9), pages 648-654, September.
    • Handle: RePEc:spr:wirtsc:v:96:y:2016:i:9:d:10.1007_s10273-016-2029-6
    DOI: 10.1007/s10273-016-2029-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10273-016-2029-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10273-016-2029-6?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.

    Citations

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


    Cited by:

    1. Budzinski, Oliver, 2017. "Wettbewerbsregeln für das Digitale Zeitalter - Die Ökonomik personalisierter Daten, Verbraucherschutz und die 9. GWB-Novelle," Ilmenau Economics Discussion Papers 108, Ilmenau University of Technology, Institute of Economics.
    2. Budzinski, Oliver & Grusevaja, Marina, 2017. "Die Medienökonomik personalisierter Daten und der Facebook-Fall," Ilmenau Economics Discussion Papers 107, Ilmenau University of Technology, Institute of Economics.
    3. Katarina Barley & Achim Wambach & Ralf Dewenter & Christian Hildebrandt & Hamidreza Hosseini & Holger Schmidt & Peter Buxmann, 2018. "Big Data as a Business Model: How Should we Deal with the Power of Internet Companies?," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 71(10), pages 03-21, May.
    4. Bartelt, Nadja, 2018. "Bundling in Internetmärkten: Ökonomische Besonderheiten, Wettbewerbseffekte und Regulierungsimplikationen," Ilmenau Economics Discussion Papers 120, Ilmenau University of Technology, Institute of Economics.
    5. Haucap, Justus, 2018. "Big Data aus wettbewerbs- und ordnungspolitischer Perspektive," DICE Ordnungspolitische Perspektiven 96, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).

    More about this item

    JEL classification:

    • K21 - Law and Economics - - Regulation and Business Law - - - Antitrust Law
    • 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
    • L41 - Industrial Organization - - Antitrust Issues and Policies - - - Monopolization; Horizontal Anticompetitive Practices

    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:spr:wirtsc:v:96:y:2016:i:9:d:10.1007_s10273-016-2029-6. 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.