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Risk Assessment and Decision Making in Business and Industry (2nd Ed.) A Practical Guide, Second Edition

Langue : Anglais

Auteur :

Couverture de l’ouvrage Risk Assessment and Decision Making in Business and Industry

Building upon the technical and organizational groundwork presented in the first edition, Risk Assessment and Decision Making in Business and Industry: A Practical Guide, Second Edition addresses the many aspects of risk/uncertainty (R/U) process implementation.

This comprehensive volume covers four broad aspects of R/U: general concepts, implementation processes, technical aspects, and examples of application. Each section provides practical guidance, combining technical information with advice on how to implement R/U techniques and processes in real-world corporate environments. Following an examination of general principles involved in quantitatively assessing risks and their impact on value, the book describes the two main probabilistic measures of project value - Expected Value of Success (EVS) and the Expected Value for the Portfolio (EVP). The text clearly demonstrates how these metrics are used in individual-project and portfolio management.

By presenting concepts in layman's terms and fully integrating advice related to technical and human characteristics of R/U-related corporate life, this book serves as a complete primer for professionals in any business environment.


What's New in the Second Edition:

  • Provides guidance for implementation of R/U processes in modern corporations
  • Offers a crucial breakthrough by defining the terms "risk" and "uncertainty" in ways that can be applied in all aspects of science and business
  • Explores real-world impediments to process change and implementation
  • Addresses R/U from a corporate decision-maker's perspective, detailing how to employ R/U to set budgets, manage portfolios, value investments, and execute other critical tasks
    • About Risk and uncertainty. Risk assessment: General characteristics and benefits. Risk assessment - A process. The perception from within - why this can be so darn hard to implement. Consistency - the key to a risk process. Communication. Building a consensus model. Building a contributing factor diagram. Education - critical at three levels. Risk assessment technologies. Monte Carlo analysis. Decisions and distributions. Chance of failure. Time-Series analysis and dependence. Risk-Weighted values and sensitivity analysis. What companies really want to do. Risk assessment examples.
    Statisticians, business, finance, and economic professionals, and engineers
    Koller, Glenn

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