• Volume
    97
  • Year
    2017
  • Page
    12–22
  • Source
    Decision Support Systems
  • Format Published
    pdf
  • Descriptors

    Business process model and notation , Decision model and notation , Big data sources , Design science research , Case study , Disaster management

  • 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.
  • Call. No.
    EA 38
  • IndexDate
    1397/10/03
  • Indexer
    Dashagha
  • Title of Article

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

  • RecordNumber
    39
  • Author/Authors

    Flávio E.A. Horitaa , João Porto de Albuquerquea , e , Victor Marchezinid , Eduardo M. Mendiondo