Disaster readiness assessment model using integrated statistical variance and proximity value index

Abstract

Purpose

The regular occurrence of natural disasters elevates the need for an effective method to measure organizational preparedness in responding to the adverse impact of disasters. In this context, this paper presents a new decision support model to assess organizational disaster preparedness using both subjective and objective disaster preparedness criteria in a multi-criteria decision-making context.

Design/methodology/approach

The statistical variance method is integrated with the proximity value index (PVI) technique to determine priority scores in order to rank organizational disaster readiness.

Findings

The results of applying the integrated model developed herein enable decision-makers to make informed decisions for assigning priority ranking of organizational disaster preparedness in a simpler and more efficient way.

Research limitations/implications

Human resource is the most impacting criterion affecting hospital preparedness in undertaking action to cure disaster victims.

Practical implications

This paper offers an exemplar of a simple and efficient decision-making process considering the subjectivity associated with decision-making as well as the objectivity of data used for determining the priority ranking of organizational disaster preparedness.

Originality/value

Integrating statistical variance method with the PVI technique is novel and it has not been presented in previous studies. In fact, this study is the first to integrate both methods for selecting the priority ranking of organizational disaster preparedness.

Citation

Sutrisno, A., Wuisang, C.E.V. and Yusupa, A. (2023), "Disaster readiness assessment model using integrated statistical variance and proximity value index", International Journal of Emergency Services, Vol. 12 No. 2, pp. 197-212. https://doi.org/10.1108/IJES-09-2022-0050