ISBN 9788131522547,Handbook of Integrated Risk Management for E Business : Measuring, Modeling and Managing Risk

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

Rs840 Rs1050 20% OFF

Availability: Available

Usually ships in: 2-3 business days

(Free Delivery)

We Accept
ISBN 9788131522547
Check delivery information
 
ISBN 9788131522547
Publisher

Cengage Learning India Pvt. Ltd

Publication Year 2014
ISBN-13

ISBN 9788131522547

ISBN-10 8131522547
Binding

Hardback

Number of Pages 328 Pages
Language (English)
Subject

Business & management

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.
Scroll