Modelling the Factors Affecting Disaster Management using Second Order Confirmatory Factor Analysis

INTRODUCTION:One of the environmental issues faced by the majority of large human settlements in the world is natural disasters and their effects.Thus, the purpose of this paper is to present a model using Interpretive Structural Modeling (ISM) for explaining the relationship between the factors affecting disaster management in order to improve its effectiveness. METHODS:In this study, quantitative method were used.For identifying the factors influencing disaster management, thematic analysis and second-order confirmatory factor analysis were used and confirmed through SmartPLS.Then the main model of the study was developed based on ISM using the views of experts in the field of disaster management. FINDINGS:The findings showed that risk evaluation, risk management, and management actions were the fundamental factors in the disaster management model which consisted of 19 subfactors.Convergent validity of the study was found to be higher than 0.5 based on Average Variance Extracted (AVE) and reliability was higher than 0.7 based on Cronbach's alpha, also Composite Reliability (CR) was calculated to be larger than 0.6, which showed that the suggested factors completely measure the intended concept in the study. CONCLUSION:According to the results, the proposed model shows the relation between factors affecting reduction of damages caused by disasters using the ISM.It can be used in different stages of disaster management because it explains the relation between 12 levels of different factors and enables managers and planners to clearly understand what activities need to be taken for more effective disaster management.