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Handbook Of Integrated Risk Management For Ebusiness Measuring Modeling And Managing Risk Abderrahim Labbi

  • SKU: BELL-1389714
Handbook Of Integrated Risk Management For Ebusiness Measuring Modeling And Managing Risk Abderrahim Labbi
$ 31.00 $ 45.00 (-31%)

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Handbook Of Integrated Risk Management For Ebusiness Measuring Modeling And Managing Risk Abderrahim Labbi instant download after payment.

Publisher: J. Ross Publishing
File Extension: PDF
File size: 2.32 MB
Pages: 329
Author: Abderrahim Labbi
ISBN: 9781932159073, 193215907X
Language: English
Year: 2005

Product desciption

Handbook Of Integrated Risk Management For Ebusiness Measuring Modeling And Managing Risk Abderrahim Labbi by Abderrahim Labbi 9781932159073, 193215907X instant download after payment.

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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