By Abderrahim Labbi
This ground-breaking expert reference integrates converging perspectives of e-business methods and gives how you can deal with their inherent hazards with complicated modeling suggestions. individuals from prime educational and company firms discover state of the art adaptive chance research platforms that aid company techniques in venture portfolio administration, operations administration, offer chain administration, stock keep watch over, info mining for consumer courting administration, details expertise defense, finance, e-banking, and extra. TodayвЂ™s new company environments are characterised by means of expanding resources of uncertainty and variability which problem present decision-making techniques. guide of built-in probability administration for E-Business: Measuring, Modeling, and handling threat presents a roadmap for selecting and mitigating the first hazards linked to each one severe e-business approach. It additionally indicates you ways to remodel your procedures by way of empowering decision-making structures and the way to layout applicable chance administration platforms for determination aid. Key positive aspects: provides an built-in view of the most e-business approaches, the various demanding situations and possibilities underlying those methods, and the way to regulate them lower than uncertainty utilizing predictive versions Discusses the price of potent choice help method instruments for preemptive administration and for gaining a aggressive virtue provides real-world case reviews illustrating complex predictive modeling methodologies and the newest applied sciences for handling the dangers inherent in e-business approaches presents a blueprint for picking out and mitigating the first hazards linked to each one serious e-business technique and exhibits find out how to layout applicable hazard administration platforms for selection aid Explains how you can use boosting to spot and prioritize danger
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Additional info for Handbook of Integrated Risk Management for E-Business: Measuring, Modeling, and Managing Risk
These include not only backup systems, but also procedures for handling extreme conditions. Their key aim is to establish a balance between risk control and business flexibility, while ensuring the speedy resolution of a crisis. 4. Financial Risk Management Historically, firms have used the financial markets to manage a broad range of market risks, including foreign exchange, interest rates, equity prices, and commodity prices. As financial engineering techniques have evolved, new derivatives products have emerged to protect against a broad range of new risks (Hull, 1997).
The higher a firm’s fixed costs, the greater its operating leverage. One of the primary determinants of a firm’s cost structure is its choice of production technology. Capital-intensive firms tend to have higher fixed costs, since they need to cover depreciation expense on their assets. This makes 20 Handbook of Integrated Risk Management for E-Business their earnings more sensitive to changes in customer demand, since a larger portion of revenue must be allocated to cover fixed expenses. Capital-intensive production processes also tend to have lower unit costs.
Firms have a number of choices regarding the types of risks to insure and how to insure them. , 1997). 5. Risk coverage spectrum. than financial forms of risk management. Insurance is therefore typically used to manage residual risk — risk that cannot effectively be addressed either operationally or through financial risk management. For frequent, low-severity losses, firms typically use self-insurance and other risk management techniques. Since such losses are usually fairly predictable, and their consequences limited, they do not contribute significant uncertainty.