IDEAS home Printed from https://ideas.repec.org/a/inm/orisre/v4y1993i2p166-204.html
   My bibliography  Save this article

A Classification of Information Systems: Analysis and Interpretation

Author

Listed:
  • Phillip Ein-Dor

    (Faculty of Management, Tel Aviv University, Tel Aviv, Israel)

  • Eli Segev

    (Faculty of Management, Tel Aviv University, Tel Aviv, Israel)

Abstract

Seventeen major types of information systems are identified and defined by vectors of their attributes and functions. These systems are then classified by numerical methods. The quantitative analysis is interpreted in terms of the development history of information system types. Two major findings are that the numerical classification autonomously follows the chronological appearance of system types and that, along the time line, systems have followed two major paths of development; these have been termed the applied artificial intelligence path and the human interface path . The development of new types of systems is considered within the framework of a theory of technological evolution. It is shown that newer types of systems result from gradual accretion of new technologies on one hand, and loss of older ones on the other. Conclusions are drawn concerning the value of taxonomy in studying information systems, in suggesting possible research directions, and the desirability of rationalizing research efforts within the IS discipline.

Suggested Citation

  • Phillip Ein-Dor & Eli Segev, 1993. "A Classification of Information Systems: Analysis and Interpretation," Information Systems Research, INFORMS, vol. 4(2), pages 166-204, June.
    • Handle: RePEc:inm:orisre:v:4:y:1993:i:2:p:166-204
    DOI: 10.1287/isre.4.2.166
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/isre.4.2.166
    Download Restriction: no
    File URL: https://libkey.io/10.1287/isre.4.2.166?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
    ---><---

    Citations

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


    Cited by:

    1. Michael Barrett & Eivor Oborn & Wanda J. Orlikowski & JoAnne Yates, 2012. "Reconfiguring Boundary Relations: Robotic Innovations in Pharmacy Work," Organization Science, INFORMS, vol. 23(5), pages 1448-1466, October.

    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:inm:orisre:v:4:y:1993:i:2:p:166-204. 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 Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    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.