IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-031-62308-0_5.html
   My bibliography  Save this book chapter

Varieties of Big Data Market and Its Future

In: Political Economy of Artificial Intelligence

Author

Listed:
  • Bhabani Shankar Nayak

    (London Metropolitan University)

  • Nigel Walton

    (University of Portsmouth)

Abstract

There is a new form of market that is growing exponentially, where big data is considered a significant trading commodity. This new market shape affects the nature of production, distribution, supply, pricing and all transactions in the traditional market forms. This chapter is the first attempt to theorise the new market known as the “Big Data Market”, driven by platform companies that infiltrate into our everyday lives. From ubiquitous social networking sites to cutting-edge online trading platforms, these entities gather, store and manage vast amounts of data, utilising it to exert control over established markets and cultivate what we term the “data market”. Within this chapter, we aim to theorise and outline the “data market” as a compelling “concept”, an intricate “process” and a transformative “institution”.

Suggested Citation

  • Bhabani Shankar Nayak & Nigel Walton, 2024. "Varieties of Big Data Market and Its Future," Springer Books, in: Political Economy of Artificial Intelligence, chapter 5, pages 95-115, Springer.
  • Handle: RePEc:spr:sprchp:978-3-031-62308-0_5
    DOI: 10.1007/978-3-031-62308-0_5
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    More about this item

    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:sprchp:978-3-031-62308-0_5. 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.