IDEAS home Printed from https://ideas.repec.org/a/taf/tjisxx/v27y2018i3p367-379.html
   My bibliography  Save this article

Philosophical foundations for informing the future(S) through IS research

Author

Listed:
  • Mike Chiasson
  • Elizabeth Davidson
  • Jenifer Winter
  • Nik Rushdi Hassan
  • John Mingers
  • Bernd Stahl

Abstract

Information systems (IS) scholars have suggested IS researchers have a responsibility to consider how information and communication technologies could, in the future, influence sociotechnical practices and outcomes. However, research focused specifically on “the future” has yet to gain a strong foothold within the scholarly IS field. In this essay, we suggest a philosophical foundation and epistemological basis for futures-oriented research to advance such scholarship in the IS field. We first highlight epistemic assumptions about futures-oriented research drawn from the discourse of futures studies. We then draw on Feenberg’s philosophy of “potentiality and actuality” of technology as a foundation to consider how knowledge generated through IS research about the sociotechnical past and present might inform futures-oriented inquiry. We illustrate these arguments with examples from the emerging arena of “big data” research.

Suggested Citation

  • Mike Chiasson & Elizabeth Davidson & Jenifer Winter & Nik Rushdi Hassan & John Mingers & Bernd Stahl, 2018. "Philosophical foundations for informing the future(S) through IS research," European Journal of Information Systems, Taylor & Francis Journals, vol. 27(3), pages 367-379, May.
  • Handle: RePEc:taf:tjisxx:v:27:y:2018:i:3:p:367-379
    DOI: 10.1080/0960085X.2018.1435232
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/0960085X.2018.1435232
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/0960085X.2018.1435232?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. Denis Dennehy & Anastasia Griva & Nancy Pouloudi & Yogesh K. Dwivedi & Matti Mäntymäki & Ilias O. Pappas, 2023. "Artificial Intelligence (AI) and Information Systems: Perspectives to Responsible AI," Information Systems Frontiers, Springer, vol. 25(1), pages 1-7, February.

    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:27:y:2018:i:3:p:367-379. 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.