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This book collects the papers presented at the 6th International Conference on Risk Analysis and Crisis Response (RACR-2017) held in Ostrava/Prague, Czech Republic, on June 5-9, 2017, organized by VSB-Technical University of Ostrava, Czech Republic. The overall theme of the sixth international conference on risk analysis and crisis response is Risk Analysis and Management – Trends, Challenges and Emerging Issues, highlighting science and technology to improve risk analysis capabilities and to optimize crisis response strategy. This book contains primarily research articles of risk issues. Underlying topics include natural hazards and major (chemical) accidents prevention, disaster risk reduction and society resilience, information and communication technologies safety and cybersecurity, modern trends in crisis management, energy and resources security, critical infrastructure, nanotechnology safety and others. All topics include aspects of multidisciplinarity and complexity of safety in education and research. The book should be valuable to professors, engineers, officials, businessmen and graduate students in risk analysis and risk management. About the book series Communications in Cybernetics, Systems Science and Engineering - Proceedings (CCSSEP) is a cross-disciplinary book series devoted to theoretical and applied research contributions, that cater to a rapidly growing worldwide interest in a cybernetic and systemic methodology with an ever-increasing capacity to deal with new challenges in a way that traditional science cannot. The series aims to become a comprehensive reference work on and guide to developments within the field and strategies required for better implementation of advances, with a view to environmental protection and sustainable social and economic development. The CCSSE series targets all working in theoretical and applied fields of cybernetics, systems science and engineering, e.g. academics, researchers and consultants, computer and information scientists, development and systems engineers, mathematicians, management cyberneticists and systemists, medical scientists, and intelligent and manufacturing engineers in industry, as well as leading decision- and policy-makers. Series editor: Jeffrey ‘Yi-Lin’ Forrest
Of major survey results -- Detailed survey results -- The Hydro-Québec -- Bradford & bingley building society -- Australian communications company -- Clarica life insurance -- KeyCorp -- Infineon technologies AG -- Holcim ltd -- Wal-mart stores, Inc.
A practical, real-world guide for implementing enterprise risk management (ERM) programs into your organization Enterprise risk management (ERM) is a complex yet critical issue that all companies must deal with in the twenty-first century. Failure to properly manage risk continues to plague corporations around the world. ERM empowers risk professionals to balance risks with rewards and balance people with processes. But to master the numerous aspects of enterprise risk management, you must integrate it into the culture and operations of the business. No one knows this better than risk management expert James Lam, and now, with Implementing Enterprise Risk Management: From Methods to Applications, he distills more than thirty years' worth of experience in the field to give risk professionals a clear understanding of how to implement an enterprise risk management program for every business. Offers valuable insights on solving real-world business problems using ERM Effectively addresses how to develop specific ERM tools Contains a significant number of case studies to help with practical implementation of an ERM program While Enterprise Risk Management: From Incentives to Controls, Second Edition focuses on the "what" of ERM, Implementing Enterprise Risk Management: From Methods to Applications will help you focus on the "how." Together, these two resources can help you meet the enterprise-wide risk management challenge head on—and succeed.
Based on the author's 20 years of teaching, Risk Analysis in Engineering: Techniques, Tools, and Trends presents an engineering approach to probabilistic risk analysis (PRA). It emphasizes methods for comprehensive PRA studies, including techniques for risk management. The author assumes little or no prior knowledge of risk analysis on the p
In recent years, building a corporate online presence has become nonnegotiable for businesses, as consumers expect to connect with them in as many ways as possible. There are benefits to companies that use online technology, but there are risks as well. Managing Online Risk presents the tools and resources needed to better understand the security and reputational risks of online and digital activity, and how to mitigate those risks to minimize potential losses. Managing Online Risk highlights security and risk management best practices that address concerns such as data collection and storage, liability, recruitment, employee communications, compliance violations, security of devices (in contexts like mobile, apps, and cloud computing), and more. Additionally, this book offers a companion website that was developed in parallel with the book and includes the latest updates and resources for topics covered in the book. Explores the risks associated with online and digital activity and covers the latest technologies, such as social media and mobile devices Includes interviews with risk management experts and company executives, case studies, checklists, and policy samples A website with related content and updates (including video) is also available
Though an individual can process a limitless amount of information, the human brain can only comprehend a small amount of data at a time. Using technology can improve the process and comprehension of information, but the technology must learn to behave more like a human brain to employ concepts like memory, learning, visualization ability, and decision making. Emerging Trends and Applications in Cognitive Computing is a fundamental scholarly source that provides empirical studies and theoretical analysis to show how learning methods can solve important application problems throughout various industries and explain how machine learning research is conducted. Including innovative research on topics such as deep neural networks, cyber-physical systems, and pattern recognition, this collection of research will benefit individuals such as IT professionals, academicians, students, researchers, and managers.
Risk is a popular topic in many sciences - in natural, medical, statistical, engineering, social, economic and legal disciplines. Yet, no single discipline can grasp the full meaning of risk. Investigating risk requires a multidisciplinary approach. The authors, coming from two very different disciplinary traditions, meet this challenge by building bridges between the engineering, the statistical and the social science perspectives. The book provides a comprehensive, accessible and concise guide to risk assessment, management and governance. A basic pillar for the book is the risk governance framework proposed by the International Risk Governance Council (IRGC). This framework offers a comprehensive means of integrating risk identification, assessment, management and communication. The authors develop and explain new insights and add substance to the various elements of the framework. The theoretical analysis is illustrated by several examples from different areas of applications.
Enterprise risk management is a complex yet critical issue that all companies must deal with as they head into the twenty-first century. It empowers you to balance risks with rewards as well as people with processes. But to master the numerous aspects of enterprise risk management, you must first realize that this approach is not only driven by sound theory but also by sound practice. No one knows this better than risk management expert James Lam. In Enterprise Risk Management: From Incentives to Controls, Lam distills twenty years' worth of experience in this field to give you a clear understanding of both the art and science of enterprise risk management. Organized into four comprehensive sections, Enterprise Risk Management offers in-depth insights, practical advice, and real world case studies that explore every aspect of this important field. Section I: Risk Management in Context lays a solid foundation for understanding the role of enterprise risk management in today’s business environment. Section II: The Enterprise Risk Management Framework offers an executive education on the business rationale for integrating risk management processes. Section III: Risk Management Applications discusses the applications of risk management in two dimensions–functions and industries. Section IV: A Look to the Future rounds out this comprehensive discussion of enterprise risk management by examining emerging topics in risk management with respect to people and technology. JAMES LAM is President of James Lam & Associates, an independent risk advisory firm. Before starting his own firm, Lam was founder and president of ERisk and partner of Oliver, Wyman & Company. In 1997, as chief risk officer at Fidelity Investments, he was named the first-ever Financial Risk Manager of the Year by the Global Association of Risk Professionals. Prior to Fidelity, he was chief risk officer of Capital Markets Services, Inc., a GE Capital Company. Lam graduated with honors from Baruch College and received his MBA from UCLA. He is also currently an Adjunct Professor of Finance at Babson College.