Overview
- Provides a review of the ongoing COVID-19 pandemic and its impact on finance and supply chain operations
- Demonstrates the effects in both financial and operational contexts using models such as DEA and system dynamics simulation
- Illustrates concepts with both quantitative and text data
Part of the book series: Computational Risk Management (Comp. Risk Mgmt)
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Table of contents (11 chapters)
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Front Matter
Keywords
About this book
This book provides an overview of the COVID-19 pandemic and evaluates its effect on financial and supply chain operations. It then discusses epidemic modeling, presenting sources of quantitative and text data, and describing how models are used to illustrate the pandemic impact on supply chains, macroeconomic performance on financial operations. It highlights the specific experiences of the banking system, which offers predictions of the impact on the Swedish banking sector. Further, it examines models related to pandemic planning, such as evaluation of financial contagion, debt risk analysis, and health system efficiency performance, and addresses specific models of pandemic parameters.
The book demonstrates various tools using available data on the ongoing COVID-19 pandemic. While it includes some citations, it focuses on describing the methods and explaining how they work, rather than on theory. The data sets and software presented were all selected on the basis of their widespread availability to any reader with computer links.
Authors and Affiliations
About the authors
David L. Olson is the James & H.K. Stuart Professor andChancellor’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.
Bibliographic Information
Book Title: Pandemic Risk Management in Operations and Finance
Book Subtitle: Modeling the Impact of COVID-19
Authors: Desheng Dash Wu, David L. Olson
Series Title: Computational Risk Management
DOI: https://doi.org/10.1007/978-3-030-52197-4
Publisher: Springer Cham
eBook Packages: Economics and Finance, Economics and Finance (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-52196-7Published: 28 July 2020
eBook ISBN: 978-3-030-52197-4Published: 27 July 2020
Series ISSN: 2191-1436
Series E-ISSN: 2191-1444
Edition Number: 1
Number of Pages: XIV, 139
Number of Illustrations: 11 b/w illustrations, 30 illustrations in colour
Topics: Risk Management, Operations Management, Finance, general