Managing SMEs in Times of Rapid Change, Uncertainty, and Disruption A Gentle Introduction to Qualitative and Quantitative Methods of Risk Management

In an era of rapid technological change and growing uncertainties, this book equips managers and engineers with vital risk management tools. Addressing challenges such as pandemics, supply chain disruptions, and political tensions, it blends qualitative and quantitative approaches to modern risk management. The first half explores enterprise risk management, including business continuity, compliance, and crisis management. The second half focuses on quantitative methods, featuring a mathematical bootcamp on probability, statistics, and Monte Carlo simulations, with detailed case studies.

Designed for beginners and intermediate professionals, it also benefits students seeking a comprehensive overview of risk management. The book draws on the author's extensive experience as a manager, trainer, and auditor, offering practical, tested solutions. While tailored to the needs of SMEs, the concepts are applicable to all organizations. This book stands out for its balanced treatment of both qualitative and quantitative aspects, providing numerous examples and complete solutions for practice.

Part 1: Risk Management: Concepts, Processes, Tools, and Enterprise Risk Management.- 1. Risk Management: The Framework.- 2. Risk Management: ERM and Aspects of its Implementation.- 3. Risk Management: A Selected Toolbox.- 4. Quantifying, Aggregating, and Modelling Risks.- Part 2: Operational Risk Management: Applying Risk Management to the Operational Areas of the Organization.- 5. Management System Standards and Organizational Resilience.- 6. Business Continuity Management.- 7. Compliance, Anti-Bribery, and Corporate Social Responsibility.- 8. Occupational Health and Safety (OH&S).- 9. Quality Management and Product Safety.- 10. Managing the Impact of the Organization on the Environment.- 11. Cyber and Information Security Risks.- 12 Business Partner Relationship Management.- 13. Crisis Management.- Part 3: Modeling and Simulating Risks and Other Things.- 14. Statistical Inference: General Concepts, Parameter Estimation, Confidence Intervals, and Testing Of Hypotheses.- 15. Simulation: Principles, Practice, and Examples.- Part 4: The Mathematics of Risk Management: A Compact Introduction.- 16. Probability: From Sample Spaces to Conditioning.- 17. Probability: Auxiliary Concepts, Tools, and Results.- 18. Frequently Met Probability Models and Distribution Functions.- 19. Sums of Random Variables and Application to Risk Aggregation.- 20. Understanding and Modeling Dependent Risks.- 21. Time-Dependent Random Variables And QRM.

Herfried Kohl holds a PhD in Physics, and has over 25 (more than 30 years) years of international experience in the field of management systems, auditing, certification, compliance, and risk management. He is the author of several books on quality and environmental management, and most recently authored the book "Standards for Management Systems" (Springer, 2020).