Horita, F. E.A., Porto de Albuquerque, J. , Marchezini, V. and Mendiondo, E. 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)
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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: | Articles |
|---|---|
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Porto de Albuquerque, Professor Joao |
| Authors: | Horita, F. E.A., Porto de Albuquerque, J., Marchezini, V., and Mendiondo, E. M. |
| College/School: | College of Social Sciences > School of Social and Political Sciences > Urban Studies |
| Journal Name: | Decision Support Systems |
| Publisher: | Elsevier |
| ISSN: | 0167-9236 |
| ISSN (Online): | 1873-5797 |
| Published Online: | 09 March 2017 |
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