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Books > Reference & Interdisciplinary > Communication studies > Decision theory > Risk assessment
This book is a joint endeavour of the three partner universities to develop a book with in-depth and state-of-art analysis for the academic community of East Asia and the world. Past disasters, like the 2008 Great Sichuan Earthquake in China and the 2011 Great East Japan Earthquake, saw good efforts of East Asian countries in helping each other. Such a trend has been further strengthened in these countries' recent cooperation and mutual support in their fight against Covid-19 pandemic. While China, Japan, and South Korea are geographically and culturally contiguous and hence may share some characteristics in their risk management principles and practices, there may also be many significant differences due to their different socioeconomic and political systems. The commonalities and variances in East Asia risk management systems are also reflected by their recent responses to the Covid-19 challenges. While all three countries demonstrated overall success in controlling the epidemic, the measures taken by them were different. This research will be of interest to policymakers, scholars and economists.
We live in a 'risk society' where the identification, distribution and management of risks, from new technology, environmental factors or other sources are crucial to our individual and social existence.Jeanne and Roger Kasperson are two of the world's leading and most influential analysts of the social dimensions of risk. The Social Contours of Risk brings together in two volumes their most important contributions to this fundamental and wide-ranging field.Volume 1 collects their fundamental work on how risks are communicated among different publics and stakeholders, including local communities, corporations and the larger society. It analyses the problems of lack of transparency and trust and explores how even minor effects can be amplified and distorted through media and social responses, preventing effective management. The final section investigates the difficult ethical issues raised by the unequal distribution of risk depending on factors such as wealth, location and genetic inheritance -- with examples from worker and public protection, facility siting conflicts, transporting hazardous waste and widespread impacts such as climate change.Volume 2 centers on the analysis and management of risk in society, in international business and multinationals, and globally. The 'acceptability' of risk to an individual depends on the context, whether the larger society or in, say, a corporate framework. Their work clarifies the structures and processes for managing risks in the private sector, and the factors that produce or impede effective decisions. Corporate culture is crucial as they show in determining risk management. They analyze the transfer of corporate risk management systems fromindustrial to developing countries, and how globalization is spreading and creating new kinds of risk -- the combination of traditional and modern hazards presented by climate change, technology transfer and economic growth. They describe the new priorities and capacities needed to deal with these enhanced vulnerabilities around the globe.
A fully updated, step-by-step guide for implementing COSO's Enterprise Risk Management "COSO Enterprise Risk Management, Second Edition" clearly enables organizations of all types and sizes to understand and better manage their risk environments and make better decisions through use of the COSO ERM framework. The "Second Edition" discusses the latest trends and pronouncements that have affected COSO ERM and explores new topics, including the PCAOB's release of AS5; ISACA's recently revised CobiT; and the recently released IIA Standards.Offers you expert advice on how to carry out internal control responsibilities more efficientlyUpdates you on the ins and outs of the COSO Report and its emergence as the new platform for understanding all aspects of risk in today's organizationShows you how an effective risk management program, following COSO ERM, can help your organization to better comply with the Sarbanes-Oxley ActKnowledgeably explains how to implement an effective ERM program Preparing professionals develop and follow an effective risk culture, "COSO Enterprise Risk Management, Second Edition" is the fully revised, invaluable working resource that will show you how to identify risks, avoid pitfalls within your corporation, and keep it moving ahead of the competition.
This practical guide covers the steps necessary to sustain quality in a project from start to finish. The book shows how to identify risks at different processes, phases, and stages and offers directions on how to mitigate and reduce risks using analysis, evaluation, and monitoring. Risk Management Applications Used to Sustain Quality in Projects: A Practical Guide focuses on applying risk management principles to manage quality in all project management processes, stages, and phases. The book discusses the potential risks that may occur at the different phases of the project life cycle, their effects on projects, and how to prevent them. It explores all the process elements and activities of risk management and provides steps on how to make the project more qualitative, competitive, and economical. Risk management processes are discussed at each project management processes and project lifecycle phase/stage to help the reader understand how various risks can occur and how to mitigate and reduce them. The main audience for this book is project management professionals, quality managers, systems engineers, construction managers, and risk management professionals as well as industrial engineers, academics, and students.
The question as to whether we are now entering a risk society has become a key debate in contemporary social theory. Risk and Technological Culture presents a critical discussion of the main theories of risk from Ulrich Becks foundational work to that of his contemporaries such as Anthony Giddens and Scott Lash and assesses the extent to which risk has impacted on modern societies. In this discussion van Loon demonstrates how new technologies are transforming the character of risk and examines the relationship between technological culture and society through substantive chapters on topics such as waste, emerging viruses, communication technologies and urban disorders. In so doing this innovative new book extends the debate to encompass theorists such as Bruno Latour, Donna Haraway, Gilles Deleuze, Felix Guattari and Jean-Fran?ois Lyotard.
Global competition is forcing reliability and other professionals to work closely during the product design and manufacturing phase. Because of this collaboration, reliability, usability, and quality principles are being applied across many diverse sectors of the economy. This book offers the principles, methods, and procedures for these areas in one resource. This book brings together the areas of reliability, usability, and quality for those working in diverse areas to allow them to be exposed to activities that can help them perform their tasks more effectively. This is the only book that covers these areas together in this manner and written in such a way that no previous knowledge is required to understand it. The sources of the material presented are included in the reference section at the end of each chapter along with examples and solutions to test reader comprehension. Applied Reliability, Usability, and Quality for Engineers is useful to design, manufacturing, and systems engineers, as well as manufacturing managers, reliability, usability and, quality specialists. It can also be helpful to graduate, senior undergraduate students, and instructors.
In the complex, cash-strapped, high pressure world of modern construction, what do you do when something goes wrong? This work looks beyond the best-case scenario to give project managers, contractors, architects and engineers the tools to prepare effectively for the unexpected. Based on the author's more than thirty-five years of construction management experience, the book shows how to proactively mitigate a schedule. It opens with case studies of real life construction mitigation, and goes on to examine the conceptual aspects of anticipating risks and making contingency plans, technical aspects of scheduling, and essential role of communication in change management. Working on the principle that no major project can ever quite go to plan and that "it's not how you start, it's how you finish," Collaborative Risk Mitigation is the ideal complement to traditional scheduling textbooks.
The book constitutes a valuable guide to the implementation of the CNS/ATM system towards ensuring safe, efficient and orderly evolution of international air transport. It uses a pragmatic approach in addressing the major legal, institutional, technical, political and economic aspects underlying the Global Navigation Satellite System, which is expected to play a fundamental role in aviation safety and air navigation world-wide. The book also examines, through well-reasoned analysis and research, the various controversial and relevant issues which will dominate the system in the years to come. The author demonstrates a profound grasp of the subject-matter through a sustained absorption of technical, institutional and legal principles applying to this complex subject. This is brought to bear in the coherent structure and logical organisation of the chapters which makes the book an invaluable tool for the aviation community, scholars and national and international regulatory authorities. It will also be immensely useful for practitioners who work towards further development and implementation of the CNS/ATM system. There has been no comparable work previously published.
Since 2007, the repeated financial crises around the world have brought to the headlines financial practices and models considered to fuel the economic instabilities. Deep Dive into Financial Models: Modeling Risk and Uncertainty comes handy in demystifying the underlying quantitative finance concepts. With a limited use of mathematical formalism, the book explains thoroughly the models, their hypotheses, principles and other building blocks. A particular care is given to model limitations and their misuse for investment strategies, asset pricing, or risk management. Its reader-friendly nature provides readers with a head start in quantitative finance.
A remarkable look at how the growth, technology, and politics of high-frequency trading have altered global financial markets In today's financial markets, trading floors on which brokers buy and sell shares face-to-face have increasingly been replaced by lightning-fast electronic systems that use algorithms to execute astounding volumes of transactions. Trading at the Speed of Light tells the story of this epic transformation. Donald MacKenzie shows how in the 1990s, in what were then the disreputable margins of the US financial system, a new approach to trading-automated high-frequency trading or HFT-began and then spread throughout the world. HFT has brought new efficiency to global trading, but has also created an unrelenting race for speed, leading to a systematic, subterranean battle among HFT algorithms. In HFT, time is measured in nanoseconds (billionths of a second), and in a nanosecond the fastest possible signal-light in a vacuum-can travel only thirty centimeters, or roughly a foot. That makes HFT exquisitely sensitive to the length and transmission capacity of the cables connecting computer servers to the exchanges' systems and to the location of the microwave towers that carry signals between computer datacenters. Drawing from more than 300 interviews with high-frequency traders, the people who supply them with technological and communication capabilities, exchange staff, regulators, and many others, MacKenzie reveals the extraordinary efforts expended to speed up every aspect of trading. He looks at how in some markets big banks have fought off the challenge from HFT firms, and how exchanges sometimes engineer technical systems to favor certain types of algorithms over others. Focusing on the material, political, and economic characteristics of high-frequency trading, Trading at the Speed of Light offers a unique glimpse into its influence on global finance and where it could lead us in the future.
With the recent tightening of air quality standards as mandated by the U.S. EPA, has come great pressure on regulatory bodies at all levels of government, along with the industries and groups affected by these standards, to better assess the hazards and risks that result from air pollutants. Risk Assessment and Indoor Air Quality carefully ties together the tools and methodologies of Risk Assessment to the study of indoor air quality. This informative text takes a look at the problem of long-term exposure to low-level concentrations of toxins. In addition to commonly found toxins, such as chemical fumes from furnishings and carpeting, and indoor use of pesticides, this unique volume discusses risks associated with exposure to indoor allergens and infectious disease pathogens such as Legionnaires Disease. Because few scientific models exist for understanding the dynamics of indoor air quality, Risk Assessment and Indoor Air Quality is an essential resource for all students and professionals involved evaluating, testing and monitoring indoor air quality.
Stress Testing and Risk Integration in Banks provides a comprehensive view of the risk management activity by means of the stress testing process. An introduction to multivariate time series modeling paves the way to scenario analysis in order to assess a bank resilience against adverse macroeconomic conditions. Assets and liabilities are jointly studied to highlight the key issues that a risk manager needs to face. A multi-national bank prototype is used all over the book for diving into market, credit, and operational stress testing. Interest rate, liquidity and other major risks are also studied together with the former to outline how to implement a fully integrated risk management toolkit. Examples, business cases, and exercises worked in Matlab and R facilitate readers to develop their own models and methodologies.
Layer of protection analysis (LOPA) is a recently developed, simplified method of risk assessment that provides the much-needed middle ground between a qualitative process hazard analysis and a traditional, expensive quantitative risk analysis. Beginning with an identified accident scenario, LOPA uses simplifying rules to evaluate initiating event frequency, independent layers of protection, and consequences to provide an order-of-magnitude estimate of risk. LOPA has also proven an excellent approach for determining the safety integrity level necessary for an instrumented safety system, an approach endorsed in instrument standards, such as ISA S84 and IEC 61511. Written by industry experts in LOPA, this pioneering book provides all the necessary information to undertake and complete a Layer of Protection Analysis during any stage in a processes' life cycle. Loaded with tables, charts, and examples, this book is invaluable to technical experts involved with ensuring the safety of a process. Because of its simplified, quicker risk assessment approach, LOPA is destined to become a widely used technique. Join other major companies and start your LOPA efforts now by purchasing this book.
A practical guide to adopting an accurate risk analysis methodology The Failure of Risk Management provides effective solutionstosignificantfaults in current risk analysis methods. Conventional approaches to managing risk lack accurate quantitative analysis methods, yielding strategies that can actually make things worse. Many widely used methods have no systems to measure performance, resulting in inaccurate selection and ineffective application of risk management strategies. These fundamental flaws propagate unrealistic perceptions of risk in business, government, and the general public. This book provides expert examination of essential areas of risk management, including risk assessment and evaluation methods, risk mitigation strategies, common errors in quantitative models, and more. Guidance on topics such as probability modelling and empirical inputs emphasizes the efficacy of appropriate risk methodology in practical applications. Recognized as a leader in the field of risk management, author Douglas W. Hubbard combines science-based analysis with real-world examples to present a detailed investigation of risk management practices. This revised and updated second edition includes updated data sets and checklists, expanded coverage of innovative statistical methods, and new cases of current risk management issues such as data breaches and natural disasters. Identify deficiencies in your current risk management strategy and take appropriate corrective measures Adopt a calibrated approach to risk analysis using up-to-date statistical tools Employ accurate quantitative risk analysis and modelling methods Keep pace with new developments in the rapidly expanding risk analysis industry Risk analysis is a vital component of government policy, public safety, banking and finance, and many other public and private institutions. The Failure of Risk Management: Why It's Broken and How to Fix It is a valuable resource for business leaders, policy makers, managers, consultants, and practitioners across industries.
Effective risk management allows opportunities to be maximized and uncertainty to be minimized. This guide for emerging professionals provides a comprehensive understanding of risk management with tools, tips and tactics on how to offer expert insights and drive success in an ever-changing area, covering everything from Covid-19 and digitization to climate change. Fundamentals of Risk Management is a detailed and comprehensive introduction to commercial and business risk for students and risk professionals. Completely aligned with ISO 31000 and the COSO ERM Framework, this book covers the key principles of risk management and how to deal with the different types of risk organizations face. The frameworks of business continuity planning, enterprise risk management, and project risk management are covered alongside an overview of international risk management standards and frameworks, strategy and policy. The revised sixth edition includes brand new content on trends such as cyber risk, black swan events and climate risk. It has been fully updated to place the emphasis on seeing risk as 'positive' rather than a 'constant threat', and establishes that risk is different in a digital/VUCA age. Additionally, it considers in detail the impact of the climate crisis and its effect on risk management activities. Further updates from the previous edition include brand new case studies on the failure of Arcadia, HBO's bankruptcy and Boohoo's issues with modern slavery, this book provides a full analysis of changes in contemporary risk areas including digital risk management, risk culture and appetite, supply chain and statutory risk reporting. Supporting online resources include lecture slides with figures, tables and key points from the book.
In today's world, deep learning source codes and a plethora of open access geospatial images are readily available and easily accessible. However, most people are missing the educational tools to make use of this resource. Deep Learning for Remote Sensing Images with Open Source Software is the first practical book to introduce deep learning techniques using free open source tools for processing real world remote sensing images. The approaches detailed in this book are generic and can be adapted to suit many different applications for remote sensing image processing, including landcover mapping, forestry, urban studies, disaster mapping, image restoration, etc. Written with practitioners and students in mind, this book helps link together the theory and practical use of existing tools and data to apply deep learning techniques on remote sensing images and data. Specific Features of this Book: The first book that explains how to apply deep learning techniques to public, free available data (Spot-7 and Sentinel-2 images, OpenStreetMap vector data), using open source software (QGIS, Orfeo ToolBox, TensorFlow) Presents approaches suited for real world images and data targeting large scale processing and GIS applications Introduces state of the art deep learning architecture families that can be applied to remote sensing world, mainly for landcover mapping, but also for generic approaches (e.g. image restoration) Suited for deep learning beginners and readers with some GIS knowledge. No coding knowledge is required to learn practical skills. Includes deep learning techniques through many step by step remote sensing data processing exercises.
Compliance has become key to our contemporary markets, societies, and modes of governance across a variety of public and private domains. While this has stimulated a rich body of empirical and practical expertise on compliance, thus far, there has been no comprehensive understanding of what compliance is or how it influences various fields and sectors. The academic knowledge of compliance has remained siloed along different disciplinary domains, regulatory and legal spheres, and mechanisms and interventions. This handbook bridges these divides to provide the first one-stop overview of what compliance is, how we can best study it, and the core mechanisms that shape it. Written by leading experts, chapters offer perspectives from across law, regulatory studies, management science, criminology, economics, sociology, and psychology. This volume is the definitive and comprehensive account of compliance.
Providing new knowledge on risk analysis and simulation for megaprojects, this book is essential reading for both academics and practitioners. Its focus is on technical descriptions of a newly developed dynamic systems approach to megaproject risk analysis and simulation. This is backed up by a discussion of the methodology as applied in a comprehensive case study on the Edinburgh Tram Network (ETN) project. The book informs both academic researchers and megaproject stakeholders with the latest information on risk as applied to megaprojects. As well as the complete case study, the book includes a general risk analysis framework for megaprojects, an analytic network process (ANP) method for risk quantification, a system dynamics (SD) method for risk simulation, and practical guides for the application of the dynamic systems approach in megaproject research and practice.
Technology failures, data loss, issues with providers of outsourced services, misconduct and mis-selling are just some of the top risks that keep financial firms up at night. In this context effective operational risk management is, simply, a commercial necessity. The management of operational risk, defined by the Basel Accord as arising from failures of processes, people, systems or external events, has developed considerably since its early years. Continued regulatory focus and catastrophic industry events have led to operational risk becoming a crucial topic on senior management's agenda. This book is a practical guide for practitioners which focuses on how to establish effective solutions and avoid common pitfalls. Filled with frameworks, examples and diagrams, this book offers clear advice on key practices including conducting risk assessments, assessing change initiatives, designing key risk indicators, establishing scenario analysis, drafting appetite statements and carrying out risk reporting. Operational Risk Management in Financial Services also features results from polls taken by risk practitioners which provide a snapshot of current practices and allow the reader to benchmark themselves against other firms. This is the essential guide for professionals looking to derive value out of operational risk management, rather than applying a compliance 'tick box' approach.
Enterprise Risk Management: Advances on its Foundation and Practice relates the fundamental enterprise risk management (ERM) concepts and current generic risk assessment and management principles that have been influential in redefining the risk field over the last decade. It defines ERM with a particular focus on understanding the nexus between risk, uncertainty, knowledge and performance. The book argues that there is critical need for ERM concepts, principles and methods to adapt to the latest and most influential risk management developments, as there are several issues with outdated ERM theories and practices; problems include the inability to effectively and systematically balance both opportunity and downside performance, or relying too much on narrow probability-based perspectives for risk assessment and decision-making. It expands traditional loss-based risk principles into new and innovative performance-risk frameworks, and presents fundamental risk principles that have recently been developed by the Society for Risk Analysis (SRA). All relevant statistical and risk concepts are clearly explained and interpreted using minimal mathematical notation. The focus of the book is centered around ideas and principles, more than technicalities. The book is primarily intended for risk professionals, researchers and graduate students in the fields of engineering and business, and should also be of interest to executive managers and policy makers with some background in quantitative methods such as statistics.
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