IDEAS home Printed from https://ideas.repec.org/a/taf/tjisxx/v22y2013i4p381-386.html
   My bibliography  Save this article

‘Datafication’: making sense of (big) data in a complex world

Author

Listed:
  • Mark Lycett

Abstract

No abstract is available for this item.

Suggested Citation

  • Mark Lycett, 2013. "‘Datafication’: making sense of (big) data in a complex world," European Journal of Information Systems, Taylor & Francis Journals, vol. 22(4), pages 381-386, July.
    • Handle: RePEc:taf:tjisxx:v:22:y:2013:i:4:p:381-386
    DOI: 10.1057/ejis.2013.10
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1057/ejis.2013.10
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1057/ejis.2013.10?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. Stephen C. Slota & Kenneth R. Fleischmann & Min Kyung Lee & Sherri R. Greenberg & Ishan Nigam & Tara Zimmerman & Sarah Rodriguez & James Snow, 2023. "A feeling for the data: How government and nonprofit stakeholders negotiate value conflicts in data science approaches to ending homelessness," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(6), pages 727-741, June.
    2. Richly, Marc A., 2022. "Big Data Analytics Capabilities: A Systematic Literature Review on Necessary Skills to Succeed in Big Data Analytics," Junior Management Science (JUMS), Junior Management Science e. V., vol. 7(5), pages 1224-1241.
    3. Raphaëlle Barbier & Skander Ben Yahia & Sylvain Lenfle & Benoit Weil, 2024. "Data-push innovation beyond serendipity: The case of a digital platform making Earth Observation data fit into multiple use contexts," Post-Print hal-04611800, HAL.
    4. Barbier, Raphaëlle & Ben Yahia, Skander & Lenfle, Sylvain & Weil, Benoit, 2024. "Data-push innovation beyond serendipity: The case of a digital platform making Earth Observation data fit into multiple use contexts," Technovation, Elsevier, vol. 132(C).
    5. Roman Rietsche & Christian Dremel & Samuel Bosch & Léa Steinacker & Miriam Meckel & Jan-Marco Leimeister, 2022. "Quantum computing," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2525-2536, December.

    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:taf:tjisxx:v:22:y:2013:i:4:p:381-386. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/tjis .

    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.