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Aurélien Acquier, Sébastien Gand, & Mathias Szpirglas. (2006). Stake S-holder management and crisis resilience a case study in a public transportation company. In M. T. B. Van de Walle (Ed.), Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management (pp. 528–539). Newark, NJ: Royal Flemish Academy of Belgium.
Abstract: Stakeholder perspectives on crisis management provide a useful descriptive framework for analyzing crises and making crisis narratives. However, their actionability for crisis management, i.e. possibility to use stakeholder management models into operational crisis management processes, remains an under-investigated question. The purpose of this article is to discuss the operational value of stakeholder frameworks for crisis management. Drawing on a qualitative case study of a successful crisis management process in a public transportation company, we investigate the activities set up by the crisis cell to manage internal and external stakeholders during the crisis. In our case, successful stakeholder management relied on: 1) good diagnosis capabilities for the design of an appropriate corporate positioning; 2) an ability to manage coherently a set of emerging and heterogeneous issues involving stakeSholders ; 3) the capacity to set up a tightly coupled form of organization, involving both crisis cell members and various anchorage points, i.e. specific actors involved in the project before the crisis, who were already in contact with key stakeholders as part of their day-to-day activities. We then discuss the practical and theoretical implications of this analysis and the potential value stakeholder perspectives for crisis management.
Keywords: Information systems; Collective action; Crisis management; External stakeholders; Potential values; Public transportation companies; Qualitative case studies; Stakeholder management; Stakeholder management model; Anchorages (foundations)
Ahmed Nagy, Lusine Mkrtchyan, & Klaas Van Der Meer. (2013). A CBRN detection framework using fuzzy logic. In J. Geldermann and T. Müller S. Fortier F. F. T. Comes (Ed.), ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management (pp. 266–271). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: Identifying a chemical, biological, radiological, and nuclear incident (CBRN) is a challenge. Evidence and health symptoms resulting from CBRN malevolent incident overlap with other normal non malevolent human activities. However, proper fusion of symptoms and evidence can aid in drawing conclusions with a certain degree of credibility about the existence of an incident. There are two types of incidents directly observable, overt, or indirectly observable, covert, which can be detected from the symptoms and consequences. This paper describes a framework for identifying a CBRN incident from available evidence using a fuzzy belief degree distributed approach. We present two approaches for evidence fusion and aggregation; the first, two level cumulative belief degree (CBD) while the second is ordered weighted aggregation of belief degrees (OWA). The evaluation approach undertaken shows the potential value of the two techniques.
Keywords: Data mining; Decision support systems; Disaster prevention; Fuzzy set theory; Information systems; Decision supports; Degree of credibility; Disaster management; Distributed approaches; Evaluation approach; Human activities; Ordered weighted aggregations; Potential values; Fuzzy logic
Track: Decision Support Systems