Business information system recovery priority decision using TOPSIS on interval data
| Published date | 06 May 2014 |
| DOI | https://doi.org/10.1108/JSIT-12-2013-0068 |
| Date | 06 May 2014 |
| Pages | 103-112 |
| Author | Ki-Yoon Kim,Kwan-Sik Na |
| Subject Matter | Information & knowledge management,Information systems |
Business information system
recovery priority decision using
TOPSIS on interval data
Ki-Yoon Kim
School of Business, Kwangwoon University, Seoul, Republic of Korea, and
Kwan-Sik Na
Department of Management Information Systems,
Seowon University, Cheongju, Republic of Korea
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-making methods can be included in the
methodology to ensure more integrated and/or comparative study.
Practical implications – The ratings and weights of the criteria in the decision problem are
assessed by means of interval data. The use of the interval data in decision problem is highly
beneficial when performance values cannot be expressed by means of numerical values. The authors
extended the TOPSIS approach for solving MCDM problem with interval data as well as exact data.
Social implications – The authors have shown how TOPSIS method on interval data can be used to
provide priority decision for business recovery of an insurance company. The proposed method
provides the authors a useful way to deal with a business recovery problem, where the values of
evaluating items are represented by generalized exact numbers or interval-valued numbers.
Originality/value – The proposed approach has the potential to resolve incident and disaster
managementand can be applied to the implementationof business recovery plan for business continuity.
Keywords AHP, TOPSIS, MCDM,Information system recovery priority, Interval data
Paper type Research paper
1. Introduction
MCDM refers to finding the best option from all of the feasible alternatives in the
presence of multiple, usually conflicting, decision criteria. The TOPSIS developed by
Hwang and Yoon (1971) is a MCDM for identifying an optimal solution from a set
The current issue and full text archive of this journal is available at
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The authors would like to express sincerest gratitude to the anonymous referees for providing
helpful comments. The present research has been conducted by the research grant of
Kwangwoon University in 2013.
Received 4 December 2013
Revised 4 December 2013
Accepted 23 December 2013
Journal of Systems and Information
Technology
Vol. 16 No. 2, 2014
pp. 103-112
qEmerald Group Publishing Limited
1328-7265
DOI 10.1108/JSIT-12-2013-0068
Business
recovery priority
decision
103
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