Pandemic Risk Management in Operations and Finance: Modeling the Impact of COVID-19 (Computational Risk Management)

Preface
Acknowledgements
Contents
About the Authors
Chapter 1: Introduction
	1.1 The Nature of the Problem
	1.2 Alternate Approaches
	1.3 Conclusion
	References
Chapter 2: Comparison with Past Pandemics
	2.1 Epidemic Impact
	2.2 SEIR Model
	2.3 Coronavirus Progress
	2.4 Measures
	2.5 Chinese Experience
	2.6 Conclusions
	References
Chapter 3: System Dynamics Modeling of Contagion Effects
	3.1 Financial Contagion
	3.2 System Dynamics Tools
	3.3 Accounts Receivable Data and Model
		3.3.1 System Dynamics Model
		3.3.2 Firm Performance
	3.4 Results and Discussion
		3.4.1 Social Interaction
	3.5 Conclusions
	References
Chapter 4: Text Mining Support to Pandemic Planning
	4.1 Text Mining of Financial Data
	4.2 Investor Sentiment
	4.3 Support Vector Machines
	4.4 Experiment
		4.4.1 Data Description
		4.4.2 Sentiment Calculation
		4.4.3 Prediction
		4.4.4 Investment Performance
	4.5 Conclusion
	References
Chapter 5: Macroeconomic Impact
	5.1 Policy Options
	5.2 Global Response
	5.3 Summary
	References
Chapter 6: Supply Chain Impact
	6.1 Pandemic Disruption
	6.2 Network Analysis
		6.2.1 SARS
		6.2.2 MERS
		6.2.3 Ebola
		6.2.4 COVID-19
	6.3 Conclusion
	References
Chapter 7: Debt Risk Analysis Using Two-Tier Networks
	7.1 Two-Tier Counterparty Risk-Contagion Network Model
		7.1.1 Definition of Two-Tier Counterparty Risk-Contagion Networks
		7.1.2 Division of Two-Tier Risk-Contagion Networks
		7.1.3 Measurement of an Organization´s External Risk Exposure (ERE)
	7.2 Risk-Contagion Channel: Node Degree
		7.2.1 Distribution of Risk-Contagion Channel: Degree Distribution
		7.2.2 Risk-Contagion Path: Average Shortest Path
		7.2.3 Aggregation of Risk-Contagion Network: Clustering Coefficient
	7.3 Regression Model
	7.4 Empirical Study on Nonfinancial Corporate Debt Risk Contagion
		7.4.1 Sample Data
		7.4.2 Construction of the First Layer Network
		7.4.3 Construction of the Second Layer Network
		7.4.4 Identify Key Risk-Contagion Nodes
		7.4.5 Ownership and External Guarantee Scale
		7.4.6 Determinants of External Risk Exposure
	7.5 Inferences
	7.6 Conclusions
	References
Chapter 8: The Effect of COVID-19 on the Banking Sector
	8.1 Short-Term Impacts on Bank Performance Indicators
	8.2 Long-Term Impact on the Banking Industry Is Limited
	8.3 Pandemic Possibly Increases Systemic Risks in the Banking Industry
	8.4 Discussions and Suggestions
	8.5 Conclusions
	References
Chapter 9: Assessment of Smart Healthcare Services
	9.1 Technology Acceptance Model
		9.1.1 Attitude
		9.1.2 Perceived Usefulness
		9.1.3 Perceived Ease of Use
		9.1.4 Subjective Norm
		9.1.5 Perceived Risk
	9.2 Technology Transfer
	9.3 Department Difference
	9.4 Research Methodology
		9.4.1 Measurements
		9.4.2 Data Collection
		9.4.3 Data Analysis and Results
	9.5 Measurement Model
		9.5.1 Reflective Measurement Evaluation
		9.5.2 Formative Measurement Evaluation
		9.5.3 Measurement Invariance Assessment
		9.5.4 Hypotheses Testing and Multigroup Analysis
	9.6 Discussion and Implications
		9.6.1 Theoretical Implications
	9.7 Conclusion
	References
Chapter 10: Healthcare Efficiency Modeling
	10.1 Nominal and Robust DEA Models
		10.1.1 Basic CCR Model
		10.1.2 Robust DEA Model
	10.2 Efficiency Analysis for US Hospitals
		10.2.1 Data
	10.3 Results and Analysis
	10.4 Conclusion
	References
Chapter 11: Recapitulation
	11.1 Problem Background
	11.2 Conclusion
	Reference