BigPromises: using organisational mindfulness to integrate big data in emergency management decision making

Research output: Contribution to journalArticlepeer-review

Abstract

Abstract: Many governmental agencies are currently engaged in activities to improve access to information which are encouraging recent Big Data (BD) trends. However, determining and demonstrating the benefit to emergency management information systems (EMIS) users has yet been realised. EMIS are critical to navigating a complex network of disparate IS used for real time, coordinated decision-making among agencies. Two significant challenges to incorporating BD analytical, visual, and predictive capabilities are mutual acceptance and system integration. This paper looks at the underlying principles of organisational mindfulness (OM) demonstrated in the convergence of EM processes, systems, and organisations in decision-making. The investigation proposes a design science research in information systems (DSRIS) approach to build an IS artefact for EMIS evaluation. Critical immediacy of information and decisions require adherence to processes which build capabilities to support EMIS users. This adds a layer of complexity to ISDT for EMIS, yet may equally lead to broader BD acceptance and integration.

Original languageEnglish
Pages (from-to)76-84
Number of pages9
JournalJournal of Decision Systems
Volume25
DOIs
Publication statusPublished - 10 Jun 2016

Keywords

  • big data
  • design science research
  • Emergency management
  • information systems
  • organisational mindfulness

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