BigPromises: using organisational mindfulness to integrate big data in emergency management decision making. (10th June 2016)

• Record Type: Journal Article
• Authors: Amaye, Alexis; Neville, Karen; Pope, Andrew
• Is Part Of: Journal of decision systems. Volume 25(2016)Supplement 1
• Page Start: 76
• Page End: 84
• Publication Date: 2016-06-10
• Subjects: Emergency management -- information systems -- organisational mindfulness -- design science research -- big data; Decision support systems -- Periodicals; Management information systems -- Periodicals; Information resources management -- Periodicals; Information storage and retrieval systems -- Periodicals; Management -- Communication systems -- Periodicals; Decision support systems; Information resources management; Information storage and retrieval systems; Management -- Communication systems; Management information systems; Periodicals; 658.40305
• DOI: 10.1080/12460125.2016.1187419
• Languages: English
• ISSNs: 1246-0125

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.