IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i1p440-d475267.html
   My bibliography  Save this article

A Systematic Review on Flood Early Warning and Response System (FEWRS): A Deep Review and Analysis

Author

Listed:
  • Waleed A. Hammood

    (Faculty of Computing, College of Computing and Applied Sciences, University Malaysia Pahang, Lebuhraya, Tun Razak, Gambang 26300, Pahang, Malaysia)

  • Ruzaini Abdullah Arshah

    (Faculty of Computing, College of Computing and Applied Sciences, University Malaysia Pahang, Lebuhraya, Tun Razak, Gambang 26300, Pahang, Malaysia)

  • Salwana Mohamad Asmara

    (Faculty of Computing, College of Computing and Applied Sciences, University Malaysia Pahang, Lebuhraya, Tun Razak, Gambang 26300, Pahang, Malaysia)

  • Hussam Al Halbusi

    (Department of Management, College of Economics and Political Science, Sultan Qaboos University, P.O. Box 20, Al Khoud 123, Oman)

  • Omar A. Hammood

    (Faculty of Computing, College of Computing and Applied Sciences, University Malaysia Pahang, Lebuhraya, Tun Razak, Gambang 26300, Pahang, Malaysia)

  • Salem Al Abri

    (Department of Management, College of Economics and Political Science, Sultan Qaboos University, P.O. Box 20, Al Khoud 123, Oman)

Abstract

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.

Suggested Citation

  • Waleed A. Hammood & Ruzaini Abdullah Arshah & Salwana Mohamad Asmara & Hussam Al Halbusi & Omar A. Hammood & Salem Al Abri, 2021. "A Systematic Review on Flood Early Warning and Response System (FEWRS): A Deep Review and Analysis," Sustainability, MDPI, vol. 13(1), pages 1-24, January.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:1:p:440-:d:475267
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/1/440/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/1/440/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chia-Lee Yang & Ming-Chang Shieh & Chi-Yo Huang & Ching-Pin Tung, 2018. "A Derivation of Factors Influencing the Successful Integration of Corporate Volunteers into Public Flood Disaster Inquiry and Notification Systems," Sustainability, MDPI, vol. 10(6), pages 1-31, June.
    2. Chen, Lili & Song, Ge & Meadows, Michael E. & Zou, Chaohui, 2018. "Spatio-temporal evolution of the early-warning status of cultivated land and its driving factors: A case study of Heilongjiang Province, China," Land Use Policy, Elsevier, vol. 72(C), pages 280-292.
    3. Eun-Yong Lee & Yu Jung Jennifer Jeon, 2020. "The Difference of User Satisfaction and Net Benefit of a Mobile Learning Management System According to Self-Directed Learning: An Investigation of Cyber University Students in Hospitality," Sustainability, MDPI, vol. 12(7), pages 1-13, March.
    4. Franceschinis, Cristiano & Thiene, Mara & Scarpa, Riccardo & Rose, John & Moretto, Michele & Cavalli, Raffaele, 2017. "Adoption of renewable heating systems: An empirical test of the diffusion of innovation theory," Energy, Elsevier, vol. 125(C), pages 313-326.
    5. Samar Ghazal & Hanan Aldowah & Irfan Umar & Brandford Bervell, 2018. "Acceptance and Satisfaction of Learning Management System Enabled Blended Learning Based on a Modified DeLone-McLean Information System Success Model," International Journal of Information Technology Project Management (IJITPM), IGI Global, vol. 9(3), pages 52-71, July.
    6. Marya Wani & Vishnupriya Raghavan & Dolphy Abraham & Virginia Kleist, 2017. "Beyond utilitarian factors: User experience and travel company website successes," Information Systems Frontiers, Springer, vol. 19(4), pages 769-785, August.
    7. Mutch, Carol, 2015. "The role of schools in disaster settings: Learning from the 2010–2011 New Zealand earthquakes," International Journal of Educational Development, Elsevier, vol. 41(C), pages 283-291.
    8. Kieran Mathieson, 1991. "Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior," Information Systems Research, INFORMS, vol. 2(3), pages 173-191, September.
    9. Marya Wani & Vishnupriya Raghavan & Dolphy Abraham & Virginia Kleist, 0. "Beyond utilitarian factors: User experience and travel company website successes," Information Systems Frontiers, Springer, vol. 0, pages 1-17.
    10. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    11. Pierluigi Zerbino & Davide Aloini & Riccardo Dulmin & Valeria Mininno, 2017. "Framing ERP Success from an Information Systems Failure Perspective: A Measurement Endeavor," Journal of Electronic Commerce in Organizations (JECO), IGI Global, vol. 15(2), pages 31-47, April.
    12. ManMohan S. Sodhi & Christopher S. Tang, 2014. "Buttressing Supply Chains against Floods in Asia for Humanitarian Relief and Economic Recovery," Production and Operations Management, Production and Operations Management Society, vol. 23(6), pages 938-950, June.
    13. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    14. Shifeng Fang & Lida Xu & Yunqiang Zhu & Yongqiang Liu & Zhihui Liu & Huan Pei & Jianwu Yan & Huifang Zhang, 2015. "An integrated information system for snowmelt flood early-warning based on internet of things," Information Systems Frontiers, Springer, vol. 17(2), pages 321-335, April.
    15. William H. DeLone & Ephraim R. McLean, 1992. "Information Systems Success: The Quest for the Dependent Variable," Information Systems Research, INFORMS, vol. 3(1), pages 60-95, March.
    16. Darren Lumbroso & Karin Stone & Freddy Vinet, 2011. "An assessment of flood emergency plans in England and Wales, France and the Netherlands," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 58(1), pages 341-363, July.
    17. Die Li & Jinsheng Zhu, 2019. "The Role of Environmental Regulation and Technological Innovation in the Employment of Manufacturing Enterprises: Evidence from China," Sustainability, MDPI, vol. 11(10), pages 1-23, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Deolfa Josè Moisès & Olivia Kunguma, 2022. "Strengthening Namibia’s Flood Early Warning System through a Critical Gap Analysis," Sustainability, MDPI, vol. 15(1), pages 1-22, December.
    2. Joško Trošelj & Han Soo Lee & Lena Hobohm, 2023. "Enhancing a Real-Time Flash Flood Predictive Accuracy Approach for the Development of Early Warning Systems: Hydrological Ensemble Hindcasts and Parameterizations," Sustainability, MDPI, vol. 15(18), pages 1-33, September.
    3. Murtuza Al-Mueed & Md Rafique Ahasan Chawdhery & Emmanuel Harera & Riyadh A. Alhazmi & Abdulmajeed M. Mobrad & Saqer M. Althunayyan & Ahmed M. Al-Wathinani, 2021. "Potential of Community Volunteers in Flood Early Warning Dissemination: A Case Study of Bangladesh," IJERPH, MDPI, vol. 18(24), pages 1-16, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hasan, Rajibul & Lowe, Ben & Petrovici, Dan, 2020. "Consumer adoption of pro-poor service innovations in subsistence marketplaces," Journal of Business Research, Elsevier, vol. 121(C), pages 461-475.
    2. Nripendra P. Rana & Yogesh K. Dwivedi & Banita Lal & Michael D. Williams & Marc Clement, 2017. "Citizens’ adoption of an electronic government system: towards a unified view," Information Systems Frontiers, Springer, vol. 19(3), pages 549-568, June.
    3. Dani Safaa & Faridi Mohamed, 2020. "The factors of acceptance and use of HRIS," Technium Social Sciences Journal, Technium Science, vol. 9(1), pages 397-404, July.
    4. Zhen Wang & John Lim & Xiaojia Guo, 2010. "Negotiator Satisfaction in NSS-Facilitated Negotiation," Group Decision and Negotiation, Springer, vol. 19(3), pages 279-300, May.
    5. Yogesh K. Dwivedi & Nripendra P. Rana & Anand Jeyaraj & Marc Clement & Michael D. Williams, 2019. "Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model," Information Systems Frontiers, Springer, vol. 21(3), pages 719-734, June.
    6. Mou, Jian & Benyoucef, Morad, 2021. "Consumer behavior in social commerce: Results from a meta-analysis," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    7. Nripendra P. Rana & Yogesh K. Dwivedi & Banita Lal & Michael D. Williams & Marc Clement, 0. "Citizens’ adoption of an electronic government system: towards a unified view," Information Systems Frontiers, Springer, vol. 0, pages 1-20.
    8. Premkumar, G. & Bhattacherjee, Anol, 2008. "Explaining information technology usage: A test of competing models," Omega, Elsevier, vol. 36(1), pages 64-75, February.
    9. Venkatesh, Viswanath & Maruping, Likoebe M. & Brown, Susan A., 2006. "Role of time in self-prediction of behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 100(2), pages 160-176, July.
    10. Garima Malik & A. Sajeevan Rao, 2019. "Extended expectation-confirmation model to predict continued usage of ODR/ride hailing apps: role of perceived value and self-efficacy," Information Technology & Tourism, Springer, vol. 21(4), pages 461-482, December.
    11. Muhammad Ali & Syed Ali Raza & Chin-Hong Puah & Mohd Zaini Abd Karim, 2017. "Islamic home financing in Pakistan: a SEM-based approach using modified TPB model," Housing Studies, Taylor & Francis Journals, vol. 32(8), pages 1156-1177, November.
    12. Morteza Ghobakhloo & Masood Fathi, 2019. "Modeling the Success of Application-Based Mobile Banking," Economies, MDPI, vol. 7(4), pages 1-21, November.
    13. Rahman Ummeh Habiba Faria Benteh & Zafar Muhammad Khubaib, 2020. "Factors Influencing Uber Adoption In Bangladesh And Pakistan," Open Economics, De Gruyter, vol. 3(1), pages 86-97, January.
    14. Keen, C. & Wetzels, M., 2001. "Exploring the Preference Structure for Online and Traditional Retail Formats," Working Papers 01.18, Eindhoven Center for Innovation Studies.
    15. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    16. Gao, Tao (Tony) & Rohm, Andrew J. & Sultan, Fareena & Pagani, Margherita, 2013. "Consumers un-tethered: A three-market empirical study of consumers' mobile marketing acceptance," Journal of Business Research, Elsevier, vol. 66(12), pages 2536-2544.
    17. Nawal Abdalla Adam, 2016. "An Empirical Investigation of the Impact of Technological Factors on Computer ¨C Based Information Systems (CBIS) Usage by Managers in Banking Sector in Sudan," Journal of Social Science Studies, Macrothink Institute, vol. 3(1), pages 12-22, January.
    18. van Hoesel, C.P.M. & Goossens, J.H.M. & Kroon, L.G., 2001. "A branch-and-cut approach for solving line planning problems," Research Memorandum 016, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    19. Leung, Louis & Chen, Cheng, 2019. "E-health/m-health adoption and lifestyle improvements: Exploring the roles of technology readiness, the expectation-confirmation model, and health-related information activities," Telecommunications Policy, Elsevier, vol. 43(6), pages 563-575.
    20. Banu Demirel & Ayça Kübra Hızarcı Payne, 2018. "Social Innovation Adoption Behavior: The Case of Zumbara," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 15(02), pages 1-19, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:13:y:2021:i:1:p:440-:d:475267. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.