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Author  |
Dick Ooms; Willem-Jan Van Den Heuvel |
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Title |
If every nail looks different, you need different hammers: Modeling civil-military interaction |
Type |
Conference Article |
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Year |
2014 |
Publication |
ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2014 |
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Volume |
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Issue |
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Pages |
349-353 |
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Keywords |
Design; Information systems; Unified Modeling Language; Business Process Modeling Notation (BPMN); Civil-military interaction (CMI); Design science; Domain model; Engineering methodology; Information exchanges; Information technology solutions; Model languages; Behavioral research |
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Abstract |
In the response to emergencies and disasters, effective cooperation and information exchange between military and civil actors is essential. However, in practice, the quality of civil-military interaction (CMI) leaves much to be desired. Our research takes an engineering approach, which is complementary to most behavioral-oriented research in the CMI domain. In particular, we seek to support CMI processes with innovative Information Technology solutions. To this end, we are developing a comprehensive conceptual model of the CMI domain, which is currently lacking. This paper contributes to its development by investigating candidate technologies and defining CMI domain model requirements. Exploiting these requirements as criteria, we have evaluated three modeling methods and languages, i.e. the Unified Modeling Language (UML), the Business Process Modeling Notation (BPMN) and the Design and Engineering Methodology for Organizations (DEMO). Based on the comparative study, we conclude that a combination of these is required for modeling the CMI domain. |
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Address |
Netherlands Defence Academy, Tilburg University, Netherlands; European Research Institute for Service Science, Tilburg University, Netherlands |
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Publisher |
The Pennsylvania State University |
Place of Publication |
University Park, PA |
Editor |
S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih. |
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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 |
9780692211946 |
Medium |
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Track |
Humanitarian Information Systems |
Expedition |
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Conference |
11th 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 |
816 |
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Author |
Dick Ooms; Willem-Jan Van Den Heuvel |
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Title |
Business not as usual: Civil-military interactionfrom an e-business perspective |
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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Issue |
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Pages |
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Keywords |
Electronic commerce; Information analysis; Information dissemination; Information systems; International cooperation; Civil-Military Interaction; Coordination; eBusiness; Information sharing; Peace support operation; Behavioral research |
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Abstract |
In peace support operations, military and civil actors are often cooperating in international coalitions. In such operations, effective and efficient coordination and information sharing is a prerequisite for effective Civil-Military Interaction (CMI), but the literature shows that this still leaves much room for improvement. Most research in this area takes a behavioral-science approach. We argue that existing research could be complemented with a design-science approach, which is an Information Systems problem-solving paradigm with its roots in engineering. After developing a high level CMI information exchange model and identifying inhibitors for information exchange, this paper provides a comparison between CMI in peace support operations and the collaboration of commercial enterprises using the e-Business paradigm. Based on observed similarities, the paper argues that the enabling technology for e-Business could overcome current inhibitors for effective and efficient information exchange for CMI in peace support operations, and is complementary to other mechanisms for information exchange. © 2012 ISCRAM. |
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Address |
Netherlands Defence Academy, Tilburg University, Netherlands; European Research Institute for Service Science, Tilburg University, Netherlands |
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Corporate Author |
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Thesis |
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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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Abbreviated Series Title |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9780864913326 |
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Track |
Inter-Organizational Exercises and Operations |
Expedition |
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Conference |
9th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Approved |
no |
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Call Number |
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Serial |
179 |
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Author |
Kate Starbird; Grace Muzny; Leysia Palen |
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Title |
Learning from the crowd: Collaborative filtering techniques for identifying on-the-ground Twitterers during mass disruptions |
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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Volume |
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Issue |
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Pages |
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Keywords |
Artificial intelligence; Information systems; Learning systems; Social networking (online); Support vector machines; Crisis informatics; Human computation; Mass disruption; Microblogging; Political protest; Behavioral research |
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Abstract |
Social media tools, including the microblogging platform Twitter, have been appropriated during mass disruption events by those affected as well as the digitally-convergent crowd. Though tweets sent by those local to an event could be a resource both for responders and those affected, most Twitter activity during mass disruption events is generated by the remote crowd. Tweets from the remote crowd can be seen as noise that must be filtered, but another perspective considers crowd activity as a filtering and recommendation mechanism. This paper tests the hypothesis that crowd behavior can serve as a collaborative filter for identifying people tweeting from the ground during a mass disruption event. We test two models for classifying on-the-ground Twitterers, finding that machine learning techniques using a Support Vector Machine with asymmetric soft margins can be effective in identifying those likely to be on the ground during a mass disruption event. © 2012 ISCRAM. |
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Address |
University of Colorado, Boulder, United States; University of Washington, Seattle, United States |
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Corporate Author |
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Thesis |
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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 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 |
9780864913326 |
Medium |
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Track |
Social Media and Collaborative Systems |
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 |
208 |
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Author |
Rene Windhouwer; Gerdien A. Klunder; F.M. Sanders |
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Title |
Decision support system emergency planning, creating evacuation strategies in the event of flooding |
Type |
Conference Article |
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Year |
2005 |
Publication |
Proceedings of ISCRAM 2005 – 2nd International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2005 |
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Volume |
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Issue |
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Pages |
171-180 |
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Keywords |
Artificial intelligence; Behavioral research; Decision support systems; Disaster prevention; Disasters; Information systems; Oil well flooding; Risk perception; Traffic control; Decision support system (dss); Decision supports; Emergency planning; Evacuation; Evacuation strategy; Extreme weather; River flooding; Traffic flow; Floods |
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Abstract |
The Decision Support System (DSS) Emergency Planning is designed for use in the event of sea or river flooding. It makes accessible all the information related to the decision whether to evacuate an area. An important factor in this decision is the time required for the evacuation. The model used by the DSS Emergency Planning system to estimate the time required employs a strategy that prevents congestion on the road network in the area at risk. The use of the DSS Emergency Planning system during the proactive and prevention phases enables disaster containment organisations to prepare better for a flood situation. Moreover, all relevant information is saved and is therefore available for the post-disaster evaluation. The DSS Emergency Planning system can play a significant role in ensuring that the evacuation of an area at risk goes according to plan. In the future the DSS Emergency Planning system can also be used to evacuate people in the event of a nuclear, natural fire or extreme weather disaster. |
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Address |
Ingenieursbureau Oranjewoud, Netherlands; TNO Inro, Netherlands |
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Thesis |
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Publisher |
Royal Flemish Academy of Belgium |
Place of Publication |
Brussels |
Editor |
B. Van de Walle, B. Carle |
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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 |
9076971099 |
Medium |
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Track |
DECISION SUPPORT SYSTEMS |
Expedition |
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Conference |
2nd 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 |
1094 |
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Author |
Sigmund Kluckner; Johannes Sautter; Matthias Max; Wolf Engelbach; Tina Weber |
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Title |
Impacting factors on human reactionsto alerts |
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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Volume |
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Issue |
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Pages |
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Keywords |
Knowledge based systems; Models; Social sciences; Alert; Crisis situations; Human behaviors; Human reaction; Literature reviews; Modeling and simulating; Support crisis management; Warning; Behavioral research |
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Abstract |
Crisis response authorities have to deal with the unpredictability of their population's behavior. One of the complex challenges is to understand the people's reaction after an official alert in a crisis situation has been issued. This paper elaborates a knowledge base to describe impacting factors on human reactions in alerting situations. For this purpose, a literature review in the theme of human behavior after warnings was conducted and augmented with information gathered in a series of interviews in German-speaking countries. The outcome is phrased as factors that might impact the human reaction to a warning. This knowledge base shall support crisis management practitioners in the elaboration of alerting strategies as well as allow researchers to systematically structure human behavior aspects for the purpose of modeling and simulating alert effects. © 2012 ISCRAM. |
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Address |
University of Stuttgart, Germany; German Red Cross, Germany |
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Corporate Author |
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Thesis |
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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 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 |
9780864913326 |
Medium |
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Track |
Special Session Mixed Methods |
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 |
142 |
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Author |
Siska Fitrianie; Leon J.M. Rothkrantz |
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Title |
An automated crisis online dispatcher |
Type |
Conference Article |
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Year |
2007 |
Publication |
Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers |
Abbreviated Journal |
ISCRAM 2007 |
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Volume |
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Issue |
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Pages |
525-536 |
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Keywords |
Human computer interaction; Natural language processing systems; Speech processing; Crisis management; Crisis situations; Dialogue systems; Emotion recognition; Emotional state; Human-computer dialogues; NAtural language processing; Natural user interactions; Behavioral research |
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Abstract |
An experimental automated dialogue system that plays the role of a crisis hotline dispatcher is currently developed. Besides controlling the communication flow, this system is able to retrieve information about crisis situations from user's input. It offers a natural user interaction by the ability to perceive and respond to human emotions. The system has an emotion recognizer that is able to recognize the emotional loading from user's linguistic content. The recognizer uses a database that contains selected keywords on a 2D “arousal” and “valence” scale. The output of the system provides not only the information about the user's emotional state but also an indication of the urgency of his/her information regarding to crisis. The dialogue system is able to start a user friendly dialogue, taking care of the content, context and emotional loading of user's utterances. |
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Address |
Man-Machine Interaction Group, Delft University of Technology, Netherlands |
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Corporate Author |
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Thesis |
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Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Delft |
Editor |
B. Van de Walle, P. Burghardt, K. Nieuwenhuis |
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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 |
9789054874171; 9789090218717 |
Medium |
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Track |
EMOT |
Expedition |
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Conference |
4th 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 |
495 |
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Author |
Steven C. Way |
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Title |
Information requirements for context-aware multi-agency real-time coordination during crisis response |
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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Volume |
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Issue |
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Pages |
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Keywords |
Disasters; Information systems; Risk management; Coordination; Coordination systems; Crisis response; Crisis response systems; Emergency medical services; Grounded theory; Information requirement; Multi agencies; Behavioral research |
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Abstract |
Most information systems (IS) research into emergency management (EM) consists of case studies of prior disasters, social behavior research, and planning or preparedness research. This study fills a gap in EM and IS research as it aims to better understand the nature of coordination during crisis response; investigate the functions and capabilities of existing coordination systems; and identify the desired functions to manage multi-agency coordination response. Grounded theory is the methodology adopted for this study. Firsthand interview and observational data will be collected from agency command centers, ride-outs with police, fire, and emergency medical services (EMS) agencies, and from multi-agency training exercises. This study is expected to make a theoretical contribution to crisis response system design as it will develop a theory to better understand the information requirements for context-aware multi-agency real-time coordination responses to crises. |
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Address |
McMaster University, Canada |
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Corporate Author |
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Thesis |
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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 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 |
9789724922478 |
Medium |
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Track |
Advanced Research Methods and Unconventional Results |
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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Approved |
no |
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Call Number |
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Serial |
1072 |
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Author |
Zeno Franco; Nina Zumel; John Holman; Kathy Blau; Larry E. Beutler |
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Title |
Evaluating the impact of improvisation on the incident command system: A modified single case study using the DDD simulator |
Type |
Conference Article |
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Year |
2009 |
Publication |
ISCRAM 2009 – 6th International Conference on Information Systems for Crisis Response and Management: Boundary Spanning Initiatives and New Perspectives |
Abbreviated Journal |
ISCRAM 2009 |
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Volume |
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Issue |
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Pages |
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Keywords |
Behavioral research; Disaster prevention; Disasters; Human resource management; Information systems; Risk management; Simulators; Improvisation; Incident command systems; Performance assessment; Psychology; Simulation; Intelligent control |
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Abstract |
This study attempted to evaluate the utility of the Incident Command System (ICS) in varying disaster contexts. ICS is mandated in the United States and practitioners assert that it is an effective organizing system for emergency management. However, researchers contend that the utility of ICS is conflated with inter-team familiarity gained during ICS exercises. A military team-in-the-loop simulator was customized to represent the problems, resources, and command structures found in civilian led disaster management teams. A modified single case design drawn from behavioral psychology was used to explore possible casual relationships between changes team heterogeneity and performance. The design also allowed for the evaluation of improvisation on performance. Further, psychological factors that may underpin improvisation were explored. In addition to some preliminary empirical findings, the successes and difficulties in adapting the DDD simulator are briefly discussed as part of an effort to achieved greater interdisciplinary integration. |
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Address |
Pacific Graduate School of Psychology, United States; Quimba Software, United States |
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Thesis |
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Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Gothenburg |
Editor |
J. Landgren, S. Jul |
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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 |
2411-3387 |
ISBN |
9789163347153 |
Medium |
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Track |
Research Methods |
Expedition |
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Conference |
6th 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 |
506 |
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Author |
Zhou Sen; Bartel A. Van De Walle |
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Title |
How intellectual capital reduces stress on organizational decision-making performance: The mediating roles of task complexity and time pressure |
Type |
Conference Article |
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Year |
2014 |
Publication |
ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2014 |
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Volume |
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Issue |
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Pages |
220-224 |
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Keywords |
Decision making; Information systems; Knowledge management; Decision-making performance; Intellectual capital; Mediating roles; Organizational decision making; Reduced complexity; Structural equation modeling; Task complexity; Time pressures; Behavioral research |
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Abstract |
Previous research claimed that organizational stress, due to task complexity and time pressure, leads to considerably negative effects on the decision-making performance of individuals and organizations. At the same time, intellectual capital (IC), in providing intangible internal and external organizational assets has a positive effect on organizational decision-making performance. This paper develops a structural equation model to analyze the relationships among IC, task complexity, time pressure and decision-making performance. Empirical data are collected from 374 participants, who are from universities, institutes, enterprises, government, with different occupations and expertise. We present two conclusions. First, IC consisting of internal capital, human capital and external capital leads to a reduced complexity of tasks and reduced time pressure and hence reduced organizational stress. Second, reduced organizational stress results in higher levels of performance for organizational decision-making. |
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Address |
Harbin Engineering University, China; Tilburg University, Netherlands |
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Corporate Author |
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Thesis |
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Publisher |
The Pennsylvania State University |
Place of Publication |
University Park, PA |
Editor |
S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih. |
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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 |
9780692211946 |
Medium |
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Track |
Decision Support Systems |
Expedition |
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Conference |
11th 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 |
937 |
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