Determination of The Critical Success Factors in Disaster Management Through The Text Mining Assisted Ahp Approach

Abstract

In the academic field and as well as the application field, substantial attention has been drawn to coping with disasters. Since natural dangers causing a large proportion of disasters cannot be avoided, attempts to combat disasters have centered on preventing hazards from evolving into disasters through measures and restructuring works taken before, during, and after the disaster. There are many players involved in the disaster management process and many factors are influential in the effectiveness of this process. Among these factors, deciding the critical ones offers significant advantages, particularly in terms of practical studies. Concentrating on a single stakeholder in deciding the factors crucial to the success of this management structure, which has many stakeholders, can cause to ignoring the significant viewpoints of other stakeholder groups. Accordingly, for the evaluation of several success factors achieved as a result of a thorough and systematic literature review, the purpose of our study is to develop a common critical success factor model that will represent both the viewpoints of operational experts and academic experts, who constitute the stakeholders of this domain. Analytical Hierarchy Process (AHP) is utilized to determine the opinions of field experts while the text mining method was used to determine the perspectives of academics. In the study, therefore, a new AHP model assisted by text mining is introduced. Socio-cultural factors were brought to light by the analysis results of the suggested model. It has been determined by the results of the study that these two perspectives are overlapped largely in the organizational field and relatively in socio-cultural, environmental, and legal fields.

Keywords

• Disaster Management
• Critical Success Factors
• AHP
• Text Mining

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