Handbook of Integrated Risk Management for E-Business: Measuring, Modeling, and Managing Risk PDF
329 Pages·2005·2.319 MB·English
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Preview Handbook of Integrated Risk Management for E-Business: Measuring, Modeling, and Managing Risk
Description:
This ground-breaking professional reference integrates converging views of e-business processes and offers ways to manage their inherent risks with advanced modeling techniques. Contributors from leading academic and business organizations explore state-of-the-art adaptive risk analysis systems that support business processes in project portfolio management, operations management, supply chain management, inventory control, data mining for customer relationship management, information technology security, finance, e-banking, and more. Today’s new business environments are characterized by increasing sources of uncertainty and variability which challenge current decision-making processes. Handbook of Integrated Risk Management for E-Business: Measuring, Modeling, and Managing Risk provides a roadmap for identifying and mitigating the primary risks associated with each critical e-business process. It also shows you how to transform your processes by empowering decision-making systems and how to design appropriate risk management systems for decision support. Key Features: Presents an integrated view of the main e-business processes, the different challenges and opportunities underlying these processes, and how to manage them under uncertainty using predictive models Discusses the value of effective decision support system tools for preemptive management and for gaining a competitive advantage Supplies real-world case studies illustrating advanced predictive modeling methodologies and the latest technologies for managing the risks inherent in e-business processes Provides a blueprint for identifying and mitigating the primary risks associated with each critical e-business process and shows how to design appropriate risk management systems for decision support Explains how to use boosting to identify and prioritize risk
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Most books are stored in the elastic cloud where traffic is expensive. For this reason, we have a limit on daily download.
