IDEAS home Printed from https://ideas.repec.org/a/aza/jpss00/y2018v12i3p266-282.html
   My bibliography  Save this article

Competitive differentiation versus commoditisation: The role of Big Data in the European payments industry

Author

Listed:
  • Hausladen, Iris
  • Zipf, Torsten

Abstract

The European payments market is undergoing disruptive changes. The interplay between changes in regulatory, technology and consumer behaviour is driving ongoing transformation and reshaping the competitive environment. With the opening of the European payment market to third-party providers, the industry faces the advent of unprecedented competition. This paper describes the phenomenon of payments commoditisation as a consequence of these changes and possible responses to achieve successful competitive differentiation. It acknowledges data and the outcome of respective analysis as one of the key assets to competitive differentiation through value-added services. The paper discusses opportunities to leverage the significant amounts of valuable data possessed by incumbent banks and payment providers in order to ensure future competitiveness. The reader will learn about the relevance of Big Data analytics in the payments industry and the need to put powerful IT at the centre of future business operations. With payments moving to the core of digital user experiences, incumbent banks and payment providers are advised to position themselves as digital partners in their customers’ lives beyond payment transaction processing.

Suggested Citation

  • Hausladen, Iris & Zipf, Torsten, 2018. "Competitive differentiation versus commoditisation: The role of Big Data in the European payments industry," Journal of Payments Strategy & Systems, Henry Stewart Publications, vol. 12(3), pages 266-282, September.
  • Handle: RePEc:aza:jpss00:y:2018:v:12:i:3:p:266-282
    as

    Download full text from publisher

    File URL: https://hstalks.com/article/2855/download/
    Download Restriction: Requires a paid subscription for full access.

    File URL: https://hstalks.com/article/2855/
    Download Restriction: Requires a paid subscription for full access.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Keywords

    payment commoditisation; Big Data analytics; value-added services; competitive differentiation; PSD2; open API;
    All these keywords.

    JEL classification:

    • G2 - Financial Economics - - Financial Institutions and Services
    • E5 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit

    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:aza:jpss00:y:2018:v:12:i:3:p:266-282. 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: Henry Stewart Talks (email available below). General contact details of provider: .

    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.