Skip to main content

Enterprise Risk Management Models

Focus on Sustainability

  • Textbook
  • © 2023
  • Latest edition

Overview

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

Part of the book series: Springer Texts in Business and Economics (STBE)

This is a preview of subscription content, log in via an institution to check access.

Access this book

eBook USD 16.99 USD 89.00
Discount applied Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book USD 119.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (15 chapters)

Keywords

About this book

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.




Authors and Affiliations

  • Department of Management, University of Nebraska, Lincoln, USA

    David L. Olson

  • Economics and Management School, University of Chinese Academy of Sciences, Beijing, China

    Desheng Wu

About the authors

David L. Olson is the James & H.K. Stuart Professor and Chancellor’s Professor at the University of Nebraska. With over 200 refereed journal articles, his research focuses on multiple objective decision-making, information technology, and supply chain risk management. Teaching in management information systems, management science, and operations management, he has authored over 40 books, including titles on decision aids, information systems project management, and supply chain management. He is a Fellow of the Decision Sciences Institute.


Desheng Wu is a Distinguished Professor at the University of Chinese Academy of Sciences and a Professor at Stockholm University. He has published over 150 papers in journals such as Production and Operations Management, Decision Sciences, and Risk Analysis. With research interests in mathematical modeling, game theory, and large-scale optimization, he is a member of prestigious academic institutions including Academia Europaea and the European Academy of Sciences and Arts. Prof. Wu has received several notable awards and serves as an editor for various journals, including Risk Analysis and IEEE Transactions on Systems, Man, and Cybernetics.



 



Bibliographic Information

Publish with us