Influential factors in creating warning systems towards flood disaster management in Ghana: An analysis of 2007 Northern flood

This paper is to examine and establish the purposes and impact of flood disaster management factors on creating warning systems outcome in Ghana's flooding state. The study collected empirical data from respondents by using a purposive sampling technique to select departmental heads, sectional heads, and staffs from the National Disaster Management Organization of Ghana through a self-administered questionnaire. Some residents from the flood-prone areas especially northern Ghana also contributed to the data collected. The study adopted the partial least square structural equation modeling (PLS-SEM) to categorize interactions and discover which of the factors had the convincing explanatory power. To help prioritize managerial activities on flood disaster management in Ghana, the study extended the PLS-SEM analysis by applying the Importance-Performance Map Analysis (IPMA). The outcome of the data analyzed demonstrated the suggested research model's effectiveness in creating warning systems outcome. This study delivers an influential knowledge of building warning systems and its' impact on flood disaster management for the National Disaster Management Organization of Ghana.