Business information system recovery priority decision using TOPSIS on interval data

Abstract

Purpose – The extended TOPSIS approach including the analytical hierarchy process method is used to solve business recovery priority decision problem mixed with interval data and exact data of an insurance company. The paper aims to discuss these issues. Design/methodology/approach – According to the concept of TOPSIS, the authors construct the normalized decision matrix and the weighted normalized decision matrix. Using the vertex method, the authors calculate the distance of each alternative from the positive or negative ideal solution. Findings – The proposed TOPSIS algorithms on interval data provide a useful framework for systematic risk assessment that an incident or disaster manager can use to prioritize recovery during business discontinuity. Research limitations/implications – As a managerial implication, the proposed method can be applied to any case for providing information for risk management decision-making in industrial and service organizations. As for a future direction, other decision-ma...