Skip to content Skip to navigation
University of Warwick
  • Study
  • |
  • Research
  • |
  • Business
  • |
  • Alumni
  • |
  • News
  • |
  • About

University of Warwick
Publications service & WRAP

Highlight your research

  • WRAP
    • Home
    • Search WRAP
    • Browse by Warwick Author
    • Browse WRAP by Year
    • Browse WRAP by Subject
    • Browse WRAP by Department
    • Browse WRAP by Funder
    • Browse Theses by Department
  • Publications Service
    • Home
    • Search Publications Service
    • Browse by Warwick Author
    • Browse Publications service by Year
    • Browse Publications service by Subject
    • Browse Publications service by Department
    • Browse Publications service by Funder
  • Help & Advice
University of Warwick

The Library

  • Login
  • Admin

Bridging the gap between decision-making and emerging big data sources : an application of a model-based framework to disaster management in Brazil

Tools
- Tools
+ Tools

Horita, Flávio E.A., Albuquerque, João Porto de, Marchezini, Victor and Mendiondo, Eduardo M. (2017) Bridging the gap between decision-making and emerging big data sources : an application of a model-based framework to disaster management in Brazil. Decision Support Systems, 97 . pp. 12-22. doi:10.1016/j.dss.2017.03.001

[img]
Preview
PDF
WRAP_cim-210317-wrap_-horita_et_al._-_2017.pdf - Published Version - Requires a PDF viewer.
Available under License Creative Commons Attribution Non-commercial No Derivatives 4.0.

Download (1676Kb) | Preview
Official URL: http://dx.doi.org/10.1016/j.dss.2017.03.001

Request Changes to record.

Abstract

With the emergence of big data and new data sources, a challenge posed to today's organizations consists of identifying how to align their decision-making and organizational processes to data that could help them make better-informed decisions. This paper presents a study in the context of disaster management in Brazil that applies oDMN +, a framework that connects decision-making with data sources through an extended modeling notation and a modeling process. The study results revealed that the framework is an effective approach for improving the understanding of how to leverage big data in the organization's decision-making.

Item Type: Journal Article
Subjects: H Social Sciences > HD Industries. Land use. Labor
Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Divisions: Faculty of Social Sciences > Centre for Interdisciplinary Methodologies
Library of Congress Subject Headings (LCSH): Big data -- Brazil, Business planning -- Brazil, Emergency management -- Brazil
Journal or Publication Title: Decision Support Systems
Publisher: Elsevier BV
ISSN: 0167-9236
Official Date: May 2017
Dates:
DateEvent
May 2017Published
9 March 2017Available
6 March 2017Accepted
11 August 2016Submitted
Volume: 97
Page Range: pp. 12-22
DOI: 10.1016/j.dss.2017.03.001
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
Global Challenges Research Fund[EPSRC] Engineering and Physical Sciences Research Councilhttp://dx.doi.org/10.13039/501100000266
88887.091744/2014-01Coordenação de Aperfeiçoamento de Pessoal de Nível Superiorhttp://dx.doi.org/10.13039/501100002322
202453/2014-6Conselho Nacional de Desenvolvimento Científico e Tecnológicohttp://dx.doi.org/10.13039/501100003593
307637/2012-3Conselho Nacional de Desenvolvimento Científico e Tecnológicohttp://dx.doi.org/10.13039/501100003593
Related URLs:
  • Related dataset

Request changes or add full text files to a record

Repository staff actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics

twitter

Email us: wrap@warwick.ac.uk
Contact Details
About Us