Enterprise Risk Management Enterprise Risk Management

Enterprise Risk Management

    • USD 34.99
    • USD 34.99

Publisher Description

Risk is inherent in business. Without risk, there would be no motivation to conduct business. But a key principle is that organizations should accept risks that they are competent enough to deal with, and “outsource” other risks to those who are more competent to deal with them (such as insurance companies). Enterprise Risk Management (2nd Edition) approaches enterprise risk management from the perspectives of accounting, supply chains, and disaster management, in addition to the core perspective of finance. While the first edition included the perspective of information systems, the second edition views this as part of supply chain management or else focused on technological specifics. It discusses analytical tools available to assess risk, such as balanced scorecards, risk matrices, multiple criteria analysis, simulation, data envelopment analysis, and financial risk measures.

Request Inspection Copy

Readership: Researchers interested in enterprise risk management; advanced undergraduates and graduates in business.
Key Features:Addresses the perspectives of accounting, supply chains, and disaster managementDiscusses analytical tools available to assess risk, allowing better informed managerial decision makingContains cases on Irish banking, various supply chain risk management events, and earthquake disaster response in China

GENRE
Business & Personal Finance
RELEASED
2015
30 January
LANGUAGE
EN
English
LENGTH
244
Pages
PUBLISHER
World Scientific Publishing Company
SELLER
Ingram DV LLC
SIZE
11.4
MB
Risk and Predictive Analytics in Business with R Risk and Predictive Analytics in Business with R
2025
Business Analytics with R and Python Business Analytics with R and Python
2024
Enterprise Risk Management Models Enterprise Risk Management Models
2023
Data Mining and Analytics in Healthcare Management Data Mining and Analytics in Healthcare Management
2023
Deskriptives Data-Mining Deskriptives Data-Mining
2023
TOPSIS and its Extensions: A Distance-Based MCDM Approach TOPSIS and its Extensions: A Distance-Based MCDM Approach
2022