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

Abstract

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.

Advanced Technologies for Offering Situational Intelligence in Flood Warning and Response Systems: A Literature Review

“…The proposed integration will overcome the limitations of the present early warning and response systems such as the unavailability of information and intelligence [9]; insufficient information sharing [107][108][109][110]; lack of coordination among agencies [111,112]; false early warnings [113]; lack of allocation of resources for responses [111]; and delayed responses [114], which often result in a crisis escalation and a higher numbers of causalities.…”

“…The key contributing factors for such increased losses have been recognised as population growth and rapid urbanisation [7,8]. Many researchers [6,9] have asserted that such losses and causalities can be significantly reduced by implementing an effective Flood Early Warning and Response Systems (FEWRS). In this regard, the Sendai Framework for Disaster Risk Reduction (SFDRR) emphasises the need for the availability of multi-hazard warning systems and disaster risk information to the community by the end of 2030 [10] (p. 12).…”

“…The reasons for the continued use of ineffective early warning systems that cause higher death rates are considered to be due to bureaucratic water management and digital divide-related issues [14], resulting in a lack of timely information for issuing warnings [9]. Therefore, the availability of an information system (IS) that can offer accurate and timely data with high service quality and user satisfaction has been recognised as one of the key reasons for implementing efficient FEWRSs [9]. Such information systems for flood warning and response systems should offer hazard detection, forecasting, warnings, and responses [15].…”

Flood Disaster Relief Operation: A Systematic Literature Review

“…(2020) [22] Factors influencing the success of information systems in flood early warning and response systems context…”

Assessing Factors Influencing Technology Adoption for Online Purchasing Amid COVID-19 in Qatar: Moderating Role of Word of Mouth

“…WOM is particularly important in marketing and e-commerce since intangible products are difficult to judge before consumption (Reza Jalilvand & Samiei, 2012). They provide more information about the product to help make a more informed decision (Hammood et al, 2020;Talwar et al, 2021). According to Park and Nicolau (2015), they are seen to be crucial empirical information cues.…”