|Appears in Collections:||Faculty of Health Sciences and Sport Journal Articles|
|Peer Review Status:||Refereed|
|Title:||Quality of data model for supporting mobile decision making|
|Keywords:||Mobile decision support|
Multicriteria decision analysis
Quality of data
|Citation:||Cowie J & Burstein F (2007) Quality of data model for supporting mobile decision making. Decision Support Systems, 43 (4), pp. 1675-1683. https://doi.org/10.1016/j.dss.2006.09.010|
|Abstract:||This paper describes research towards implementation of a mobile decision support system. Our view is that the mobile decision maker will benefit if provided with a measure of the Quality of the Data (QoD) used in deriving a decision, and how QoD improves or deteriorates while he/she is on the move. We propose a QoD model taking into account static and dynamic properties of the mobile decision context, and use multicriteria decision analysis to represent decision model and derive a QoD measure. A prototype mobile decision support system has been developed to investigate the usefulness of the proposed QoD model.|
|Rights:||The publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.|
|Decision Support Systems 2007.pdf||Fulltext - Published Version||626.99 kB||Adobe PDF||Under Embargo until 2999-12-21 Request a copy|
Note: If any of the files in this item are currently embargoed, you can request a copy directly from the author by clicking the padlock icon above. However, this facility is dependent on the depositor still being contactable at their original email address.
This item is protected by original copyright
Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
The metadata of the records in the Repository are available under the CC0 public domain dedication: No Rights Reserved https://creativecommons.org/publicdomain/zero/1.0/
If you believe that any material held in STORRE infringes copyright, please contact firstname.lastname@example.org providing details and we will remove the Work from public display in STORRE and investigate your claim.