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Chunking decision information: a way to make big data actionable

Journal article
Authors Faramarz Agahi
Natasha Dmytrenko
Published in Journal of Decision Systems
Volume 25
Pages 11-22
ISSN 1166-8636
Publication year 2016
Published at Department of Applied Information Technology (GU)
Pages 11-22
Language en
Links dx.doi.org/10.1080/12460125.2016.11...
Keywords Organising decision information, chunking information, Erasmus+ programme, big data, knowledge, Operations Research & Management Science
Subject categories Computer and Information Science

Abstract

Today's decision management systems focus on supporting selected decisions rather than including and linking pre- and post-decision information, that is, big data. The purpose of this research was to understand how decision information is organised in an international, cross-functional organisation. This paper is an attempt to understand how a five-element, object-oriented framework tailors decision information in the international humanitarian programme. How can chunking and organising decision information object-oriented be a way to make big data actionable? The application of the model helps to improve organising decision information.

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