Journal
DECISION SUPPORT SYSTEMS
Volume 97, Issue -, Pages 12-22Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.dss.2017.03.001
Keywords
Business process model and notation; Decision model and notation; Big data sources; Design science research; Case study; Disaster management
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Funding
- Engineering and Physical Sciences Research Council (EPSRC) through the Global Challenges Research Fund
- CAPES [88887.091744/2014-01]
- CNPq [202453/2014-6, 307637/2012-3]
- Heidelberg University (Excellence Initiative II/Action 7)
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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. (C) 2017 The Authors. Published by Elsevier B.V.
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