The Library
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
|
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
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: |
|
|||||||||||||||
| Date of first compliant deposit: | 22 March 2017 | |||||||||||||||
| 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: |
|
|||||||||||||||
| Related URLs: |
Request changes or add full text files to a record
Repository staff actions (login required)
 |
View Item |
Downloads
Downloads per month over past year
