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Factors influencing the success of information systems in flood early warning and response systems context

Hammood, Waleed A. and Salwana, Mohamad Asmara and Ruzaini, Abdullah Arshah and Hammood, Omar A. and Al Halbusi, Hussam and Al-Sharafi, Mohammed Abdullah (2020) Factors influencing the success of information systems in flood early warning and response systems context. TELKOMNIKA Telecommunication Computing Electronics and Control, 18 (6). ISSN 1693-6930

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Flash flood is a natural disaster that often occurs after heavy rain, and it is getting more common nowadays. The flood early warning and response system (FEWRS) can be installed to minimize the level of damage and the number of casualties due to flood by providing accurate and reliable flood data. Unfortunately, the existing number of studies detailing on the factors affecting the efficiency of FEWRS in flood disaster is quite limited. The above issue is addressed in the current work, which involves conducting a comprehensive literature review on the factors that drive the effectiveness of information systems (IS) in FEWRS. The current analysis was based on the Wymer and Regan's standards. From the 66 factors identified from the previous studies on IS adoption, the most significant factors affecting the effectiveness of FEWRS are: system quality, information quality, user satisfaction, service quality, use, perceived usefulness, intention to use, net benefits, perceived ease of use, compatibility, user experience, relative advantage, complexity, perceived risks, educational quality, and confirmation, these factors can be constructed to the success model to address the effectiveness of FEWRS in disaster management. 1, 2, 3, 4, 5, 6, Shihab Hamad Khaleefah7

Item Type: Article
Uncontrolled Keywords: disaster management; flood; flood early warning and response system; information systems success; technology adoption
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QE Geology
Faculty/Division: Institute of Postgraduate Studies
Faculty of Computing
Depositing User: Noorul Farina Arifin
Date Deposited: 29 Dec 2020 03:00
Last Modified: 29 Dec 2020 03:00
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