A Conceptual Model for Effective Early Warning Information Systems (EEWIS)

Mohamed Saad Eldin, Sherif A. Mazen, Ehab E. Hassanen, Hegazy Zaher


This paper addresses the need for effective early warning information systems (EEWIS) that are capable of predicting future crises and that can help prevent them or reduce their negative effects. The main problem facing any EWIS is the lack of effectiveness. The most effective early warning information systems are characterized by accuracy, flexibility and the ability to detect risks. Effective early warning information systems can empower communities to prepare for and confront risks and disasters. An effective EWIS should be based on a reliable and consistent model, yet the models currently available are mostly deterministic, simplified or inconsistent in application and assumption; thus making them unreliable and impractical. The goals of this paper are to provide guidelines for professionals involved in implementing effective early warning information systems, and to present a novel model for EEWIS that can be adapted to the dynamic needs of the field of crisis management and preparedness.


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Paper Citation

in Harvard Style

Saad Eldin M., A. Mazen S., E. Hassanen E. and Zaher H. (2013). A Conceptual Model for Effective Early Warning Information Systems (EEWIS) . In Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-8565-60-0, pages 134-142. DOI: 10.5220/0004419801340142

in Bibtex Style

author={Mohamed Saad Eldin and Sherif A. Mazen and Ehab E. Hassanen and Hegazy Zaher},
title={A Conceptual Model for Effective Early Warning Information Systems (EEWIS)},
booktitle={Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},

in EndNote Style

JO - Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - A Conceptual Model for Effective Early Warning Information Systems (EEWIS)
SN - 978-989-8565-60-0
AU - Saad Eldin M.
AU - A. Mazen S.
AU - E. Hassanen E.
AU - Zaher H.
PY - 2013
SP - 134
EP - 142
DO - 10.5220/0004419801340142