This textbook, now in its fourth edition, serves as a comprehensive guide to learning various aspects of risk, encompassing supply chain management, artificial intelligence, and sustainability. It demonstrates a wide range of operations research models that have been successfully applied to enterprise supply chain risk management. Each chapter of the book can function as a standalone module focusing on a specific topic, offering dedicated examples, definitions, and discussion notes.

The publication of this book comes at a crucial time when the world is facing increasing challenges from various forms of risk. Events such as Covid-19, the energy crisis, wars, and terrorism in the 21st century have all disrupted supply chains, thus highlighting the critical importance of enterprise risk management. Additional risks, such as financial and technological bubbles, along with concerns surrounding rampant artificial intelligence, contribute to a climate that demands enhanced risk management within organizations.

Helps comprehend the potential of models within risk management Gives simple examples to demonstrate the methods Demonstrates simulation and other operational research models

Autorentext
Hsu-Shih Shih is a Professor in the Department of Management Sciences at Tamkang University, Taiwan, R.O.C. He obtained his Ph.D. degree at the Department of Industrial and Manufacturing Systems Engineering of Kansas State University, Manhattan, Kansas, U.S.A. in 1995; an MS degree at the Department of Mechanical Engineering at Chung Cheng Institute of Technology, Taiwan in 1984; and a BS degree at the Department of Naval Architecture and Marine Engineering of the same institute in 1978. He has also been a visiting scholar at the University of Pittsburgh, U.S.A. (2007), Aalto University, Finland (2010), and the Norwegian School of Economics, Norway (2014). His areas of specialization include decision analysis and support, operations research, soft computing, and environmental management. His publications appear in European Journal of Operational Research, Computers and Operations Research, Journal of Operational Research Society, Central European Journal of Operations Research, Operational Research: An International Journal, Group Decision and Negotiation, Fuzzy Sets and Systems, Journal of Cleaner Production, Information Science, Computers and Mathematics with Applications, Mathematical and Computer Modelling, Applied Mathematics Letters, etc., along with four book chapters, and three books by Springer. He has been Secretary (2012-13), Council Member (2014-15), President (2016-17), and Supervisor (2018-19) of the Operations Research Society of Taiwan, as well as a member of the executive committee of International Society on Multiple Criteria Decision Making (2017-21). David L. Olson is the James & H.K. Stuart Professor 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, information technology, supply chain risk management, and data mining. He teaches in the management information systems, management science, and operations management areas. He has authored over 40 books, to include 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. Additionally, he has co-authored the books Introduction to Business Data Mining, Enterprise Risk Management, Advanced Data Mining Techniques, Enterprise Information Systems, Enterprise Risk Management Models, and Financial Enterprise Risk Management. 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 has made over 200 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.

Inhalt

1. Enterprise Risk Management in Supply Chains.- 2. Risk Matrices.- 3. Value-Focused Supply Chain Risk Analysis.- 4. Examples of Supply Chain Decisions Trading-off Criteria.- 5. Simulation of Supply Chain Risk.- 6. Value at Risk Models.- 7. Chance-Constrained Models.- 8. Data Envelopment Analysis in Enterprise Risk Management.- 9. Data Mining Models and Enterprise Risk Management.- 10. Balanced Scorecards to Measure Enterprise Risk Performance.- 11. Machine Learning and Artificial Intelligence Risk.- 12. Enterprise Risk Management in Projects.- 13. Natural Disaster Risk Management.- 14. Sustainability and Enterprise Risk Management.- 15. Environmental Damage and Risk Assessment.