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A case study of information flows in multi-agency emergency response exercises
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ACM International Conference Proceeding Series; Vol. 390 archive
Proceedings of the 10th Annual International Conference on Digital Government Research: Social Networks: Making Connections between Citizens, Data and Government table of contents
SESSION: Digital government applications table of contents
Pages 277-282  
Year of Publication: 2009
ISBN:978-1-60558-535-2
Authors
Nitesh Bharosa  Delft University of Technology, The Netherlands
JinKyu Lee  Oklahoma State University
Marijn Janssen  Delft University of Technology, The Netherlands
H. Raghav Rao  University at Buffalo, SUNY
Sponsor
: Digital Government Society of North America
Publisher
Bibliometrics
Downloads (6 Weeks): 27,   Downloads (12 Months): 65,   Citation Count: 0
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ABSTRACT

Successful disaster management requires efficient information sharing and coordination of multi-agency emergency response operations. This paper compares two types of multi-agency emergency response exercises where multiple relief agencies are required to collaborate, using a set of information communication technologies, in response to large-scale disaster scenarios. The analysis shows that many decision-makers and information managers suffer from a lack of information availability awareness and that the information flows are heavily regulated by the institutional structure and organizations involved in multi-agency emergency response, which may not achieve the full potential of the available ICTs' technical capabilities. As a result, information systems should be conceptualized in a way that the system includes the underlying political and organizational structure, institutional rules/operational procedures, norms, and most importantly, the human actors. The paper also discusses several points that seem to have important implications to successful emergency response.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Nitesh Bharosa: colleagues
JinKyu Lee: colleagues
Marijn Janssen: colleagues
H. Raghav Rao: colleagues