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Handbook Of Integrated Risk Management For E-Business: Measuring, Modeling And Managing Risk 1St Edition at Meripustak

Handbook Of Integrated Risk Management For E-Business: Measuring, Modeling And Managing Risk 1St Edition by Abderrahim Labbi, Cengage Learning

Books from same Author: Abderrahim Labbi

Books from same Publisher: Cengage Learning

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  • General Information  
    Author(s)Abderrahim Labbi
    PublisherCengage Learning
    ISBN9788131522547
    BindingHardcover
    LanguageEnglish
    Publish YearJanuary 2014

    Description

    Cengage Learning Handbook Of Integrated Risk Management For E-Business: Measuring, Modeling And Managing Risk 1St Edition by Abderrahim Labbi

    Handbook of Integrated Risk Management for E-Business This ground-breaking book 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. Todays 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 road-map 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 your decision-making systems and how to design appropriate risk management systems for decision support. 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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