Bridging the gap between decision-making and emerging big data sources: an application of a model-based framework to disaster management in Brazil
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 disa...
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| Main Authors: | , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
9 March 2017
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| In: |
Decision support systems
Year: 2017, Volume: 97, Pages: 12-22 |
| ISSN: | 1873-5797 |
| DOI: | 10.1016/j.dss.2017.03.001 |
| Online Access: | Verlag, Volltext: http://dx.doi.org/10.1016/j.dss.2017.03.001 Verlag, Volltext: http://www.sciencedirect.com/science/article/pii/S0167923617300416 
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| Author Notes: | Flávio E.A. Horita, João Porto de Albuquerque, Victor Marchezini, Eduardo M. Mendiondo |
| Summary: | 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. |
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| Item Description: | Gesehen am 04.09.2018 |
| Physical Description: | Online Resource |
| ISSN: | 1873-5797 |
| DOI: | 10.1016/j.dss.2017.03.001 |