Enterprise Risk Management Models

2. Auflage 2017
ISBN: 978-3-662-53784-8
Verlag: Springer

Buch, Englisch, 216 Seiten, HC runder Rücken kaschiert, Format (B × H): 159 mm x 241 mm, Gewicht: 4675 g

Reihe: Springer Texts in Business and Economics

This book is a comprehensive guide to several aspects of risk, including information systems, disaster management, supply chain and disaster management perspectives. A major portion of this book is devoted to presenting a number of operations research models that have been (or could be) applied to enterprise supply risk management, especially from the supply chain perspective. Each chapter of this book can be used as a unique module on a different topics with dedicated examples, definitions and discussion notes.This book comes at a time when the world is increasingly challenged by different forms of risk and how to manage them. Events of the 21st Century have made enterprise risk management even more critical. Risks such as suspicions surrounding top-management structures, financial and technology bubbles (especially since 2008), as well as the demonstrated risk from terrorism, such as the 9/11 attack in the U.S. as well as more recent events in France, Belgium, and other locations in Europe, have a tremendous impact on many facets of business. Businesses, in fact, exist to cope with risk in their area of specialization.

Zielgruppe

Graduate

Autoren/Hrsg.

Olson, David L.

Wu, Desheng Dash

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Management Risikomanagement
• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
• Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Einkauf, Logistik, Supply-Chain-Management
• Mathematik | Informatik Mathematik Operations Research

Inhaltsverzeichnis

Enterprise Risk Management in Supply Chains.- Risk Matrices.- Value-Focused Supply Chain Risk Analysis.- Examples of Supply Chain Decisions Trading Off Criteria.- Simulation of Supply Chain Risk.- Value at Risk Models.- Chance Constrained Models.- Data Envelopment Analysis in Enterprise Risk Management.- Balanced Scorecards to Measure Enterprise Risk Performance.- Information Systems Security Risk.- Enterprise Risk Management in Projects.- Natural Disaster Risk Management.- Sustainability Risk Management.- Environmental Damage and Risk Assessment.

Über Autor(innen)

David L. Olson is the James & H.K. Stuart Professor in MIS and Chancellor’s Professor at the University of Nebraska. He has published research in over 200 refereed journal articles, primarily on the topic of multiple objective decision-making and information technology. He has authored over 20 books, is co-editor in chief of International Journal of Services Sciences and associate editor of a number of journals. He has made over 150 presentations at international and national conferences on research topics. He is a member of the Decision Sciences Institute, the Institute for Operations Research and Management Sciences, and the Multiple Criteria Decision Making Society. He was a Lowry Mays endowed Professor at Texas A&M University from 1999 to 2001. He was named the Raymond E. Miles Distinguished Scholar award for 2002, and was a James C. and Rhonda Seacrest Fellow from 2005 to 2006. He was named Best Enterprise Information Systems Educator by IFIP in 2006. He is a Fellow of the Decision Sciences Institute.

Desheng Dash Wu is a 100-plan Full Professor with the University of Science and Technology of China, Chinese Academy of Sciences, Beijing, China. He has published over 80 papers in refereed journals, such as Production and Operations Management, Decision Sciences, Risk Analysis, and the IEEE Transactions on Systems, Man, and Cybernetics. He is the editor of the Springer book series entitled Computational Risk Management. His current research interests include enterprise risk management in operations, performance evaluation in the financial industry, and decision sciences. Dr. Wu has served as an Associate Editor/Guest Editor for such journals as the IEEE Transactions on Systems, Man, and Cybernetics, Annals of Operations Research, Computers and Operations Research, the International Journal of Production Economics, and Omega.>