Blockchain Risk Evaluation on Enterprise Systems using an Intelligent MCDM based model

Abstract

Blockchain technology (BT) has become popular in the firms in the present time, however,
implementation of BT includes several risk factors from various points of view. Some of these risks can be
serious for the processes of firms. These risks should be cautiously recognized and analyzed to reduce the
negative impacts of them. Assessment of the risks can be recognized as a multi-criteria decision making
(MCDM) problem. In this work, the risks that will occur when implementing BT are assessed by using
MCDM methodology built on Single Valued Neutrosophic Sets (SVNSs), Analytic Hierarchy Process
(AHP), and Decision Making and Trial Evaluation Laboratory (DEMATEL) methods. The main and subcriteria risks are collected via a company in the smart village in Egypt and from previous research, hence,
the hierarchical form of the problem is built. AHP is used to show the importance of risk factors and the
relationships between risk factors obtained by using the DEMATEL method. The main goal of this study is
to aid the firms mainly and the firm in Egypt especially to determine which risks are more serious and to
which of them causing effect and are being affected. In this study 8 main criterion and 28 sub-criteria, risks
are used. As result, the security risk is important in the main risks but energy costs and data leaks are
important in sub risks.