Decision SupportAn integrated operation module for individual risk management
Introduction
Risk management has been widely applied in various fields such as economics, insurance, industries, and so on. While the word “risk” means that uncertainty can be expressed through probability, risk management is a structured process for the management of uncertainty through risk assessment.
Most studies on risk management have focused on the causes and effects of a risk event that occurs in an enterprise or an organization (e.g. Alexander and Sheedy, 2004, Borodzicz, 2005). While this is important, follow-up considerations for assessing risks and response for an individual of an organization not only can provide valuable information in the face of risks but also effectively result in impact reduction. However, different individuals take the same risk event with different degrees of impacts (Ward, 2007). As a consequence, the adopted actions will be different from individual to individual. In addition, studies from individuals’ viewpoints are rarely found in the literature despite their significance, in particular, for an increasingly complex environment especially if an effective strategy were to be proposed for an individual.
Thus, in this study, we intend to base on an individual’s characteristics to propose an individual risk management process we call IRM in brief, which includes two parts of risk analysis and risk response. The risk analysis procedure is to identify the degree of risk with respect to the individual’s tolerance level, while the risk response process is to assess the considered response strategy in order to provide appropriate action. To ensure the applicability and implementation of the process, the quantification and measures of each stage are investigated and developed into an operation system including two modules of risk analysis and risk response. The result will be evaluated and compared using an illustrative case.
To demonstrate the proposed system, this article is organized as follows. In Section 2, concepts of risk management and related theoretical backgrounds are introduced. Two operational modules which include a risk classification model with risk magnitude estimation for risk analysis, and a decision model for response strategy development are proposed in Section 3 with a summary of the overall system. An A–C court case will be demonstrated and evaluated in Section 4. Finally, the conclusions will be drawn in Section 5.
Section snippets
Basic concepts
The study and implementation of risk management have a long history (e.g. Fishburn, 1982, Crockford, 1986, Tummala and Leung, 1996, Tummala and Burchett, 1999). The risk management process (RMP) provides a systematic structure to assess the consequences and likelihood of occurrence associated with a given risk event. Risk analysis and risk response are two major parts of RMP (Tummala and Burchett, 1999). At the risk analysis stage, identification of the risk sources and threats is the main
The proposed operation system for the Individual Risk Management Process (IRM)
Based on the basic concepts described above, we shall develop in this section each module in details. Section 3.1 illustrates the risk analysis module, while Section 3.2 develops the risk response module. Finally, we summarize the proposed IRM in Section 3.3.
Illustrative example
We adopted the court case of A–C to illustrate the proposed procedure and compare the result with EMV as formally suggested (Clemen and Reilly, 2001).
Conclusion
An operational risk management system is an essential tool in decision making, which helps evaluate the influence of a risk in a step by step manner. The more precise the analysis process, the more appropriate is the response action recommended.
Since different people may evaluate the same event as having different levels of risk, in this study, we explored risk tolerance based on individual preferences. To develop a complete analysis of risk management, we studied and proposed a risk management
Acknowledgement
The authors acknowledge the financial support from the National Science Council with Project Number NSC 93-2213-E007-016.
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