Olson / Wu Enterprise Risk Management Models

Third Auflage 2020
ISBN: 978-3-662-60608-7
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 225 Seiten

Reihe: Economics and Finance

This book offers a comprehensive guide to several aspects of risk, including information systems, disaster management, supply chain and disaster management perspectives. A major portion of the 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 stand-alone module on a respective topic, 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 risk posed by terrorism, such as the 9/11 attacks in the U.S. as well as more recent events in France, Belgium, and otherEuropean countries, 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

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.- Data Mining Models and Enterprise Risk Management.- Balanced Scorecards to Measure Enterprise Risk Performance.- Information Systems Security Risk.- Enterprise Risk Management in Projects.- Natural Disaster Risk Management.- Sustainability and Enterprise Risk Management.- Environmental Damage and Risk Assessment.

Über Autor(innen)

David L. Olson is the James & H.K. Stuart Professor and Chancellor’s Professor at the University of Nebraska, USA.  He has published research in over 200 refereed journal articles and has authored over 40 books, including Decision Aids for Selection Problems, Introduction to Information Systems Project Management, Managerial Issues of Enterprise Resource Planning Systems, Supply Chain Risk Management, and Supply Chain Information Technology.  He has served as associate editor of Service Business, Decision Support Systems, and Decision Sciences and co-editor in chief of International Journal of Services Sciences. 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 has 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 Wu is a Special-term Professor at University of Chinese Academy of Sciences, Beijing, China, and a Professor at Stockholm University, Sweden. He has published over 150 ISI-indexed papers in refereed journals, such as Production and Operations Management, Decision Sciences, Risk Analysis, and IEEE Transactions on Systems, Man, and Cybernetics, as well as 7 books with publishers like Springer. He is an elected member of Academia Europaea (The Academy of Europe), the European Academy of Sciences and Arts, and the International Eurasian Academy of Sciences. He has served as an associate editor and a guest editor for several journals, such as Risk Analysis, IEEE Transactions on Systems, Man, and Cybernetics, the Annals of Operations Research, Computers and Operations Research,the International Journal of Production Economics, and Omega. He is the editor of Springer’s book series on computational risk management.