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Author |
Christine Adler; Lisa Jakob; Mirjam Haus; Lena Erfurt; Marion Krüsmann |
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Title |
GABEK WinRelan® – A qualitative method for crisis research engaging crisis management personnel |
Type |
Conference Article |
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Year |
2012 |
Publication |
ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2012 |
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Pages |
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Keywords |
Information systems; Stresses; Crisis management; Mass casualty incidents; Qualitative method; Triage; Usability; Human resource management |
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Abstract |
Qualitative research methods like GABEK WinRelan are advantageous tools to analyze and thereby improve crisis management planning and communication systems by interrogating crisis management personnel. Contrary to quantitative methods they help to identify, explore, and structure new important aspects in this field and to formulate more specific research questions. This paper describes the usage and advantages of the qualitative method GABEK WinRelan within crisis management research, particularly within the e-Triage project which aims at the development of an electronic registration system of affected persons in mass casualty incidents. Furthermore it addresses different corresponding research fields like stress within emergency missions and the role GABEK WinRelan could play in examining these research fields. © 2012 ISCRAM. |
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Address |
Ludwig Maximilians University, Dept. Psychology, Munich, Germany; Ludwig Maximilians University, Germany |
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Publisher |
Simon Fraser University |
Place of Publication |
Vancouver, BC |
Editor |
L. Rothkrantz, J. Ristvej, Z.Franco |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Volume |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9780864913326 |
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Track |
Special Session Mixed Methods, Community/Practitioner Engaged Research & Translation for the Crisis Context |
Expedition |
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Conference |
9th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
66 |
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Author |
Christine Adler; Marion Krüsmann; Thomas Greiner-Mai; Anton Donner; Javier Mulero Chaves; Àngels Via Estrem |
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Title |
IT-supported management of mass casualty incidents: The e-triage project |
Type |
Conference Article |
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Year |
2011 |
Publication |
8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011 |
Abbreviated Journal |
ISCRAM 2011 |
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Issue |
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Pages |
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Keywords |
Database systems; Digital communication systems; Disasters; Distributed database systems; Human engineering; Information systems; Satellite communication systems; Stresses; User interfaces; Communication infrastructure; Database synchronization; Digital communications; Distributed database; E-Triage; Mass casualty incidents; Rescue operations; Satellite communications; Interoperability |
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Abstract |
Voice, analogue mobile radio, and paper have een successfully used for decades for coordination of emergencies and disasters, but although being simple and robust this approach cannot keep pace with todays requirements any more. Emerging and established digital communication standards open the door to new applications and services, but the expected benefit needs to be carefully evaluated against robustness, interoperability, and user-friendliness. This paper describes a framework for IT-supported management of mass casualty incidents, which is currently under implementation and study. The four pillars of the concept are handheld devices for use both in daily rescue operations and in disasters, autonomous satellite-based communication infrastructure, a distributed database concept for maximal availability, and psychological acceptance research. |
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Address |
Ludwig Maximilians University, Dept. Psychology, Munich, Germany; Euro-DMS Ltd., Olching, Germany; DLR, Institute of Communications and Navigation, Oberpfaffenhofen, Germany; TriaGnoSys GmbH, Weßling, Germany |
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Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Lisbon |
Editor |
M.A. Santos, L. Sousa, E. Portela |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9789724922478 |
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Track |
Mobile and Sensor Networks |
Expedition |
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Conference |
8th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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no |
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Call Number |
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Serial |
255 |
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Author |
Tina Comes; Valentin Bertsch; Simon French |
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Title |
Designing dynamic stress tests for improved critical infrastructure resilience |
Type |
Conference Article |
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Year |
2013 |
Publication |
ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2013 |
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Volume |
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Issue |
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Pages |
307-311 |
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Keywords |
Critical infrastructures; Decision making; Economic and social effects; Embedded systems; Information systems; Robustness (control systems); Mcda; Participatory approach; Resilience; Stress test; Vulnerability; Public works |
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Abstract |
This paper outlines an approach to support decision-makers in designing resilient critical infrastructure (CI) networks. As CIs have become increasingly interdependent disruptions can have far-reaching impacts. We focus on the vulnerability of CIs and the socio-economic systems, in which they are embedded, independent from any initial risk event. To determine which disruptions are the most severe and must be avoided, quantitative and qualitative assessments of a disruption's consequences and the perspectives of multiple stakeholders need to be integrated. To this end, we combine the results of consequence models and expert assessments into stress test scenarios, which are evaluated using multi-criteria decision analysis techniques. This approach enables dynamic adaption of the stress tests in the face of a fast changing environment and to take account of better information about interdependencies or changing preferences. This approach helps make trade-offs between costs for resilient CIs and potential losses of disruptions clearly apparent. |
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Address |
University of Agder, Norway; Karlsruhe Institute of Technology, Germany; University of Warwick, United Kingdom |
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Publisher |
Karlsruher Institut fur Technologie |
Place of Publication |
KIT; Baden-Baden |
Editor |
T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9783923704804 |
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Track |
Decision Support Systems |
Expedition |
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Conference |
10th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
405 |
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Author |
Mark Parent; Jean-François Gagnon; Tiago H. Falk; Sébastien Tremblay |
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Title |
Modeling the Operator Functional State for Emergency Response Management |
Type |
Conference Article |
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Year |
2016 |
Publication |
ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2016 |
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Issue |
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Pages |
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Keywords |
Emergency Management; Simulation; Operator Functional State; Mental Workload; Stress |
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Abstract |
New technologies are available for emergency management experts to help them cope with challenges such as information overload, multitasking and fatigue. Among these technologies, a wide variety of physiological sensors can now be deployed to measure the Operator Functional State (OFS). To be truly useful, such measures should not only characterize the overall OFS, but also the specific dimensions such as stress or mental workload. This experiment aimed to (1) design a multi-dimensional model of OFS, and (2) test its application to an emergency management situation. First, physiological data of participants were collected during controlled experimental tasks. Then, a support vector classifier of mental workload and stress was trained. Finally, the resulting model was tested during an emergency management simulation. Results suggest that the model could be applied to emergency management situations, and leave the door open for its application to emergency response on the field. |
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Publisher |
Federal University of Rio de Janeiro |
Place of Publication |
Rio de Janeiro, Brasil |
Editor |
A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3398 |
ISBN |
978-84-608-7984-19 |
Medium |
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Track |
Analytical Modeling and Simulation |
Expedition |
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Conference |
13th International Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
1337 |
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Author |
Peter Otto; Salvatore Belardo |
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Title |
A theoretical evaluation of information processing resources during organizational crisis |
Type |
Conference Article |
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Year |
2006 |
Publication |
Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2006 |
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Volume |
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Issue |
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Pages |
262-271 |
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Keywords |
Computer simulation; Information systems; Stresses; Crisis; Crisis management; Double-loop learning; Organizational learning; Single-loop learning; Theoretical evaluation; Theoretical framework; Yerkes-dodson laws; Computer aided instruction |
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Abstract |
The purpose of this paper is to present a model for testing different organizational learning characteristics and their effects on performance rate in times of an unexpected temporary increase in workload. Drawing on the theoretical frameworks of Yerkes-Dodson law, the stress-buffering effect of coping resources, and established crisis management models, the authors examine the hypotheses of curvilinear and interactional influence of single and double-loop learning on stress levels during crises. Using a simulation model, we identify thresholds in single and double-loop learning environments, where increases in workload lead to dysfunctional effects of stress. The findings indicate support for the hypothesis that an organization that employs double-loop learning is less susceptible to negative stress in times of a crisis. Overall, the study highlights the characteristics of different learning types and its effects on stress. It is suggested that experiments with a simulation model lead to a better understanding of how information processing resources that people have access to in stress events, buffers or protects them from negative effects. |
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Address |
Management Information Systems, School of Business, Dowling College, NY, United States; Management Science and Information Systems, School of Business, University at Albany, Albany, NY, United States |
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Publisher |
Royal Flemish Academy of Belgium |
Place of Publication |
Newark, NJ |
Editor |
B. Van de Walle, M. Turoff |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Abbreviated Series Title |
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Series Volume |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9090206019; 9789090206011 |
Medium |
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Track |
SYSTEM DYNAMICS MODELING FOR EMERGENCY MANAGEMENT |
Expedition |
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Conference |
3rd International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
822 |
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Author |
Sammy Abdelghani Teffali; Nada Mattta; Eric Chatelet |
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Title |
Generating Crisis Situation by Using Ontology and Fuzzy Theory |
Type |
Conference Article |
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Year |
2019 |
Publication |
Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management |
Abbreviated Journal |
Iscram 2019 |
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Volume |
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Issue |
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Pages |
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Keywords |
Crisis, Fuzzy Theory, Ontology, Stress. |
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Abstract |
A crisis is a complex situation, difficult to manage by the actors. Some of them are under stress it is difficult to
deal with problems when consequences cannot be predict. The human conditions (concerning familial and life)
and, the influence of the environment related to politics, economic, and media pushe the actors to lose control of
the crisis situation. The question we face in this paper is: ?is it possible to use the fuzzy theory for predicting the
stress impact in crisis?? Our main hypothesis to represent experience feedback in a situation prediction in order
to show negative consequences and correctness actions is taken account. Fuzzy theory concept is used in
prediction in order to generate several situations. |
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Address |
University of technology of troyes, France |
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Thesis |
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Publisher |
Iscram |
Place of Publication |
Valencia, Spain |
Editor |
Franco, Z.; González, J.J.; Canós, J.H. |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
978-84-09-10498-7 |
Medium |
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Track |
T10- Knowledge, Semantics and AI for RISK and CRISIS management |
Expedition |
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Conference |
16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019) |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
1852 |
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