A systematic review on flood early warning and response system (FEWRS): A deep review and analysis
Flood is the major natural hazard in Malaysia in terms of populations affected, area extent, frequency, social–economic damage, and flood duration. This shows the importance of providing comprehensive and effective flood mitigation management, which requires government agencies to enhance their empl...
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| Format: | Article |
| Language: | English |
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MDPI
2021
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| Online Access: | http://umpir.ump.edu.my/id/eprint/30899/ http://umpir.ump.edu.my/id/eprint/30899/1/A%20Systematic%20Review%20on%20Flood%20Early%20Warning.pdf |
| _version_ | 1848823631766880256 |
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| author | Hammood, Waleed A. Ruzaini, Abdullah Arshah Salwana, Mohamad Al Halbusi, Hussam Hammood, Omar A. Al Abri, Salem |
| author_facet | Hammood, Waleed A. Ruzaini, Abdullah Arshah Salwana, Mohamad Al Halbusi, Hussam Hammood, Omar A. Al Abri, Salem |
| author_sort | Hammood, Waleed A. |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | Flood is the major natural hazard in Malaysia in terms of populations affected, area extent, frequency, social–economic damage, and flood duration. This shows the importance of providing comprehensive and effective flood mitigation management, which requires government agencies to enhance their employment performance that involves technological innovation. A flood early warning and response system (FEWRS) is essential to ensure that all stakeholders receive the right information and are provided with necessary actions and response information to avoid loss of lives and property. It should have some effective usability features and success components of its strategic information access and display; existing FEWRS fail and often do not effectively provide information on flood disasters to reduce their impacts at a local level to save the population’s lives. The measurement of information system (IS) success remains a top concern for researchers, managers, and practitioners. Therefore, this study seeks to provide a systematic overview of the most successful model of employment-related technical advancement for the management of flood disasters to improve its employees’ performance. In addition, examined factors that affect the successful implementation of flood management approaches, based on a systematic literature review among IS, show interrelationship of success factors. Findings from the literature suggest that the DeLone and McLean (D&M) model is the most widely employed model, recorded in 28 studies (39%). Further description of the 28 studies indicates that the D&M was either adopted alone or integrated with other theories. Moreover, results suggest the D&M is has been applied alone 39% of the time and has been extended 29% of the time; in total, 68% of the time, D&M has been applied either alone or extended in the information system domain. Additionally, 22% of the time it has been integrated with other theories |
| first_indexed | 2025-11-15T03:00:13Z |
| format | Article |
| id | ump-30899 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:00:13Z |
| publishDate | 2021 |
| publisher | MDPI |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-308992025-07-22T01:45:51Z http://umpir.ump.edu.my/id/eprint/30899/ A systematic review on flood early warning and response system (FEWRS): A deep review and analysis Hammood, Waleed A. Ruzaini, Abdullah Arshah Salwana, Mohamad Al Halbusi, Hussam Hammood, Omar A. Al Abri, Salem QA75 Electronic computers. Computer science Flood is the major natural hazard in Malaysia in terms of populations affected, area extent, frequency, social–economic damage, and flood duration. This shows the importance of providing comprehensive and effective flood mitigation management, which requires government agencies to enhance their employment performance that involves technological innovation. A flood early warning and response system (FEWRS) is essential to ensure that all stakeholders receive the right information and are provided with necessary actions and response information to avoid loss of lives and property. It should have some effective usability features and success components of its strategic information access and display; existing FEWRS fail and often do not effectively provide information on flood disasters to reduce their impacts at a local level to save the population’s lives. The measurement of information system (IS) success remains a top concern for researchers, managers, and practitioners. Therefore, this study seeks to provide a systematic overview of the most successful model of employment-related technical advancement for the management of flood disasters to improve its employees’ performance. In addition, examined factors that affect the successful implementation of flood management approaches, based on a systematic literature review among IS, show interrelationship of success factors. Findings from the literature suggest that the DeLone and McLean (D&M) model is the most widely employed model, recorded in 28 studies (39%). Further description of the 28 studies indicates that the D&M was either adopted alone or integrated with other theories. Moreover, results suggest the D&M is has been applied alone 39% of the time and has been extended 29% of the time; in total, 68% of the time, D&M has been applied either alone or extended in the information system domain. Additionally, 22% of the time it has been integrated with other theories MDPI 2021 Article PeerReviewed pdf en cc_by_4 http://umpir.ump.edu.my/id/eprint/30899/1/A%20Systematic%20Review%20on%20Flood%20Early%20Warning.pdf Hammood, Waleed A. and Ruzaini, Abdullah Arshah and Salwana, Mohamad and Al Halbusi, Hussam and Hammood, Omar A. and Al Abri, Salem (2021) A systematic review on flood early warning and response system (FEWRS): A deep review and analysis. Sustainability, 13 (1). pp. 1-24. ISSN 2071-1050. (Published) https://doi.org/10.3390/su13010440 https://doi.org/10.3390/su13010440 |
| spellingShingle | QA75 Electronic computers. Computer science Hammood, Waleed A. Ruzaini, Abdullah Arshah Salwana, Mohamad Al Halbusi, Hussam Hammood, Omar A. Al Abri, Salem A systematic review on flood early warning and response system (FEWRS): A deep review and analysis |
| title | A systematic review on flood early warning and response system (FEWRS): A deep review and analysis |
| title_full | A systematic review on flood early warning and response system (FEWRS): A deep review and analysis |
| title_fullStr | A systematic review on flood early warning and response system (FEWRS): A deep review and analysis |
| title_full_unstemmed | A systematic review on flood early warning and response system (FEWRS): A deep review and analysis |
| title_short | A systematic review on flood early warning and response system (FEWRS): A deep review and analysis |
| title_sort | systematic review on flood early warning and response system (fewrs): a deep review and analysis |
| topic | QA75 Electronic computers. Computer science |
| url | http://umpir.ump.edu.my/id/eprint/30899/ http://umpir.ump.edu.my/id/eprint/30899/ http://umpir.ump.edu.my/id/eprint/30899/ http://umpir.ump.edu.my/id/eprint/30899/1/A%20Systematic%20Review%20on%20Flood%20Early%20Warning.pdf |