| Record |
| Author |
Simone Wurster; Ulrich Meissen |
| Title |
Towards an economic assessment approach for early warning systems: Improving cost-avoidance calculations with regard to private households |
Type |
Conference Article |
| Year |
2014 |
Publication |
ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2014 |
| Volume |
|
Issue |
|
Pages |
439-443 |
| Keywords |
Disasters; Investments; Early Warning System; Early warning systems; Economic assessments; Investment decisions; Quantitative assessments; Quantitative models; Theoretical framework; Warning technologies; Information systems |
| Abstract |
In recent years, Early Warning Systems (EWS) have proven their value by saving many lives. However, most in-vestments into EWS were motivated directly by experienced disaster events and rarely pro-actively by possible up-coming threats. In order to change that we think that besides ethical and humanitarian reasons also the positive economic effects should be analyzed. EWS also help to protect property, but their contribution is not as obvious in that field due to the lack of quantitative models. This paper presents a disaster-independent formula that shows the benefits of EWS. Additional value to existing approaches is based on its advanced focus on behavioral aspects and the benefits of EWS in comparison to warnings issued via social media. We consider this work as an important contribution for future investments into warning technologies. However, yet this model just provides a theoretical framework for necessary empirical studies that are subject of further research. |
| Address |
TU Berlin, Germany; Fraunhofer FOKUS, Germany |
| Corporate Author |
|
Thesis |
|
| Publisher |
The Pennsylvania State University |
Place of Publication |
University Park, PA |
Editor |
S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih. |
| Language |
English |
Summary Language |
English |
Original Title |
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| Series Editor |
|
Series Title |
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Abbreviated Series Title |
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| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
2411-3387 |
ISBN |
9780692211946 |
Medium |
|
| Track |
Planning, Foresight and Risk Analysis |
Expedition |
|
Conference |
11th International ISCRAM Conference on Information Systems for Crisis Response and Management |
| Notes |
|
Approved |
no |
| Call Number |
|
Serial |
1107 |
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