Enterprise Risk Management Enterprise Risk Management

Enterprise Risk Management

    • 35,99 €
    • 35,99 €

Beschreibung des Verlags

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 und Finanzen
ERSCHIENEN
2015
30. Januar
SPRACHE
EN
Englisch
UMFANG
244
Seiten
VERLAG
World Scientific Publishing Company
ANBIETERINFO
Lightning Source Inc Ingram DV LLC
GRÖSSE
11,4
 MB
Multiple Perspectives in Risk and Risk Management Multiple Perspectives in Risk and Risk Management
2019
Effectiveness of Enterprise Risk Management Effectiveness of Enterprise Risk Management
2022
Operational Risk Management in Banks Operational Risk Management in Banks
2017
Commercial Banking Risk Management Commercial Banking Risk Management
2016
Measuring and Managing Operational Risk Measuring and Managing Operational Risk
2017
Corporate Value of Enterprise Risk Management Corporate Value of Enterprise Risk Management
2011
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