IDEAS home Printed from https://ideas.repec.org/a/bla/jamest/v36y1985i2p63-81.html
   My bibliography  Save this article

Experiments and analysis of information use and value in a decision‐making context

Author

Listed:
  • M. C. Yovits
  • C. R. Foulk

Abstract

This article describes a series of experiments which relate information to decision making. The experiments were developed with the objectives of validating a previously suggested conceptual model of information flow and its relation to decision making, as well as to establish specific values for the significant parameters involved. The conceptual approach related information to its effectiveness and therefore its use and value. Theory, measures, and relationships thus derived relate to the way information, once it is transmitted and received, is utilized by a decision maker. Specifically, information is said to be data of value in decision making. Starting with this definition it has been possible to define information quantitatively and to establish some of its properties and interrelationships. In the experiments described here a subject uses a computer terminal interactively in order to maximize subjective expected value over a number of courses of action available to him by choosing what be believes to be an optimal course of action at each trial. A decision‐making situation is formulated in terms of value and probability matrices, unknown to the subject. The subject is instructed to maximize the sum of the outcome values obtained, and through feedback to learn the structure and the probabilities involved. Data were obtained from 60 subjects each experimenting on 12 different matrices. These data generally validated the theoretical approach and also enabled the determination of specific values for significant parameters involved. The experimental design is described in detail in the article. Analysis of some of the data is presented.

Suggested Citation

  • M. C. Yovits & C. R. Foulk, 1985. "Experiments and analysis of information use and value in a decision‐making context," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 36(2), pages 63-81, March.
  • Handle: RePEc:bla:jamest:v:36:y:1985:i:2:p:63-81
    DOI: 10.1002/asi.4630360202
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/asi.4630360202
    Download Restriction: no

    File URL: https://libkey.io/10.1002/asi.4630360202?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
    ---><---

    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:bla:jamest:v:36:y:1985:i:2:p:63-81. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.asis.org .

    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.