Enterprise Risk Management Models
Focus on Sustainability
Chapter
While Chapter 3 reviewed the SMART method, this chapter provides five cases where multi-attribute analysis was applied in supply chain environments. Each decision case is explained, and computations demonstrat...
Chapter
Financial risk management has been analyzed using the value at risk methodology. The method is described, evolving from variance-covariance analysis. Monte Carlo simulation is applied to demonstrate calculatio...
Chapter
Data envelopment analysis is a method to assess economic efficiency of decision-making units. The concept is explained and demonstrated with business-related data.
Chapter
Business decisions usually involve multiple conflicting objectives. This chapter reviews processes to structure such decisions, and provides a detailed method of the simple multi-attribute rating theory (SMART...
Chapter
Many supply chain problem analyses involve uncertainty in the form of statistically measured distributions. Monte Carlo simulation is a highly useful tool to analyze statistical distributions and to model many...
Chapter
Balanced scorecards are tools to monitor the relative performance of organizational units over multiple dimensions. Traditionally, the four dimensions of learning and growth, internal business processes, custo...
Chapter
Linear programming is a traditional means of optimizing many supply chain decisions. However, linear programming assumes linear relationships, yielding extreme solutions that become risky. Chance constraints a...
Chapter
Project management is a major activity in many domains. They involve many risks due to their being one-time events. Risk management tools are presented and demonstrated.
Book
Chapter
Risk matrices are simplified frameworks for implementation of risk management policies in a given domain. This chapter describes risk matrices and gives guidance for their construction. Examples in business co...
Chapter
The development of artificial intelligence is reviewed. It includes a variety of computer-driven methods. Those applying to risk management data mining applications are reviewed, to include a number of classif...
Chapter
Nature is a complex system with many powerful physical events caus8ing disruption of human activities. Emergency management systems are described and modeling options demonstrated.
Chapter
Methods to assess and evaluate environmental damage are presented, to include cost-benefit analysis, contingent evaluation, conjoint analysis, and habitat equivalency analysis. Methods are demonstrated with ri...
Chapter
This chapter introduces risk management by reviewing some major risk events faced by businesses in the past. Unexpected consequences of human activity are discussed, with a presentation of the accounting organ...
Chapter
Data mining is the application of statistical and artificial intelligence models to decisions and is used in a wide variety of fields. This chapter describes the Rattle open-source software for data mining, ap...
Chapter
In addition to natural disasters, there is a systemic continuous challenge to natural environments from developments such as global warming, and from epidemic health risks such as COVID-19. The United Nations ...
Article
This article has been retracted. Please see the retraction notice for more detail: https://doi.org/10.1007/s42524-020-0120-6
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In the original publication of the article, there is unfortunately one mistake in the authors’ affiliations. Prof. **aozhe ZHAO’s affiliation should be: Faculty of Management and Economics, Dalian University o...
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