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Author Rui Chen; Raghav H. Rao; Raj Sharman; Shambhu J Upadhyaya; Catherine Cook-Cottone
Title Examination of emergency response from knowledge and psychology perspectives Type Conference Article
Year 2010 Publication ISCRAM 2010 – 7th International Conference on Information Systems for Crisis Response and Management: Defining Crisis Management 3.0, Proceedings Abbreviated Journal ISCRAM 2010
Volume Issue Pages
Keywords Information systems; Emergency response; Emergency Response Information Systems; Emergency response management; Knowledge; Organizational effectiveness; Psychological factors; Psychology; Research-in-progress; Emergency services
Abstract This research-in-progress examines the roles of technology and human systems in supporting emergency response management through the dual perspectives of knowledge and psychology. Task critical knowledge is linked to organizational effectiveness in delivering business value and psychological factors characterize the unique challenges of an emergency context. This exploratory research is among the first to develop a theoretical model based on these two important yet understudied theoretical aspects. The article contributes to the research development in emergency response information systems and sheds light on the organizational response management practice.
Address Ball State University, United States; State University of New York, Buffalo, United States
Corporate Author Thesis
Publisher Information Systems for Crisis Response and Management, ISCRAM Place of Publication Seattle, WA Editor S. French, B. Tomaszewski, C. Zobel
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue (up) Edition
ISSN 2411-3387 ISBN Medium
Track Poster Session Expedition Conference 7th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 390
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Author Ma Ma; Shengcheng Yuan; H. Zhang; Yi Liu
Title Framework design for operational scenario-based emergency response system Type Conference Article
Year 2013 Publication ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2013
Volume Issue Pages 332-337
Keywords Decision making; Information systems; Information technology; Social sciences; Dynamic optimization; Emergency response systems; Human behavior analysis; Human behaviors; Psychological effects; Psychological factors; Scenario; Social information processing; Design
Abstract The present paper introduces a scenario-based framework design for connecting emergency response system with human behavior analysis and social information processing, which aims at improving its comprehensive capability in dealing with unexpected situations caused by physical, social and psychological factors during a crisis. The overall framework consists of four function modules: Scenario awareness, scenario analysis, scenario evolvement and scenario response. A detailed function design for each module is presented as well as the related methodologies used for integration of four modules. The contribution of this paper includes two aspects. One is realizing the integration of incident evolution, information-spreading and decision-making by taking account of physical, social and psychological effects during emergency. The other is improving the efficiency of decisionmaking through dynamic optimization process.
Address Institute of Public Safety Research, Tsinghua University, Beijing, China
Corporate Author Thesis
Publisher Karlsruher Institut fur Technologie Place of Publication KIT; Baden-Baden Editor T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue (up) Edition
ISSN 2411-3387 ISBN 9783923704804 Medium
Track Emergency Management Information Systems Expedition Conference 10th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 732
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Author Bonny Roos; Kim van Buul-Besseling; Jan-Willem Streefkerk; Martijn Neef
Title Recover Faster from Disaster: Success Factors for a Crowdsourcing Platform Type Conference Article
Year 2015 Publication ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2015
Volume Issue Pages
Keywords crowdsourcing; Disaster recovery; psychological factors; social media; success factor model
Abstract In this paper, we present a model that identifies seven success factors for the development of crowdsourcing platforms for disaster recovery. This model integrates two existing theories. The first theory focuses on success factors of crowdsourcing initiatives in general. The second theory states how disaster relief operations can improve when they take the psychological components of resilience into account. By merging the core principles of these two theories and adding additional knowledge gained from literature study, we constructed an integrated success factor model for use in the development of crowdsourcing applications for disaster recovery. An initial validation of the success factor model was conducted within a case study on a crowdsourcing platform for disaster recovery which is currently being developed. Conclusions are drawn with regards to the applicability of the model to guide development of crowdsourcing platforms for disaster recovery.
Address
Corporate Author Thesis
Publisher University of Agder (UiA) Place of Publication Kristiansand, Norway Editor L. Palen; M. Buscher; T. Comes; A. Hughes
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue (up) Edition
ISSN 2411-3387 ISBN 9788271177881 Medium
Track Community Engagement Expedition Conference ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management
Notes Approved yes
Call Number Serial 1271
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