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Handbook of Integrated Risk Management for E-Business: Measuring, Modeling, and Managing Risk

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"This book provides a recipe for the practical application of technology and the implementation of solutions to solve specific problems." -- Dr. Krishna Nathan, Vice President, IBM Research

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

About the Author

Abdel Labbi is a research scientist at the IBM Research Laboratory in Zurich, Switzerland, where he specializes in quantifying and modeling e-business risk management. He has published more than 20 papers in international journals on this topic and is a regular speaker at industry events. Dr. Labbi has a Ph.D. from the University of Grenoble and has taught at the University of Geneva.
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