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Risk is inherent in business. Without risk, there would be no motivation to conduct business. But a key principle is that organizations should accept risks that they are competent enough to deal with, and “outsource” other risks to those who are more competent to deal with them (such as insurance companies). Enterprise Risk Management (2nd Edition) approaches enterprise risk management from the perspectives of accounting, supply chains, and disaster management, in addition to the core perspective of finance. While the first edition included the perspective of information systems, the second edition views this as part of supply chain management or else focused on technological specifics. It discusses analytical tools available to assess risk, such as balanced scorecards, risk matrices, multiple criteria analysis, simulation, data envelopment analysis, and financial risk measures.
COVID-19 has spread around the world, causing tremendous structural change, and severely affecting global supply chains and financial operations. As such there is a need for analytic tools help deal with the impact of the pandemic on the world’s economies; these tools are not panaceas and certainly won’t cure the problems faced, but they offer a means to aid governments, firms, and individuals in coping with specific problems. 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 pa...
The bulk of this volume deals with the four main aspects of risk management: market risk, credit risk, risk management - in macro-economy as well as within companies. It presents a number of approaches and case studies directed at applying risk management to diverse business environments. Included are traditional market and credit risk management models such as the Black-Scholes Option Pricing Model, the Vasicek Model, Factor models, CAPM models, GARCH models, KMV models and credit scoring models.
This book expands the scope of risk management beyond insurance and finance to include accounting risk, terrorism, and other issues that can threaten an organization. It approaches risk management from five perspectives: in addition to the core perspective of financial risk management, it addresses perspectives of accounting, supply chains, information systems, and disaster management. It also covers balanced scorecards, multiple criteria analysis, simulation, data envelopment analysis, and financial risk measures that help assess risk, thereby enabling a well-informed managerial decision making.The book concludes by looking at four case studies, which cover a wide range of topics. These include such practical issues as the development and implementation of a sound risk management structure; supply chain risk and enterprise resource planning systems in information systems, and disaster management.
In this edited volume, we present the state-of-the-art views of the perspective of enterprise risk management, to include frameworks and controls in the ERM process with respect to supply chains, constructions, and project, energy, environmental and sustainable development risk management. The bulk of this volume is devoted to presenting a number of modeling approaches that have been (or could be) applied to enterprise risk management in construction.
Enterprise risk management has always been important. However, the events of the 21st Century have made it even more critical. The top level of business management became suspect after scandals at ENRON, WorldCom, and other business entities. Financially, many firms experienced difficulties from bubbles. The problems of interacting cultures demonstrated risk from terrorism as well, with numerous terrorist attacks, to include 9/11 in the U.S. Risks can arise in many facets of business. Businesses in fact exist to cope with risk in their area of specialization. Financial risk management has focused on banking, accounting, and finance. We have discussed several aspects of risk, to include information systems, disaster management, and supply chain perspectives. The bulk of this book is devoted to presenting a number of operations research models that have been (or could be) applied to enterprise supply risk management, especially from the supply chain perspective.
What are my chances of completing this project successfully? What could prevent me? How can I anticipate potential threats? These are the kinds of questions you are likely to ask yourself when you become responsible for an important project. And these are the kinds of question Reducing Project Risk will help you answer. Drawing on examples from a variety of business activities as well as on their own extensive experience, the authors propose a systematic approach to dealing with risk. They provide both a conceptual framework and the practical techniques for identifying, analysing and controlling risks of any type. Among other things you will learn: ¢ how to carry out an objective review of the factors involved ¢ how to recognize the warning signs so that you can head off trouble before it strikes ¢ how to take care of the 'people side' of project management. Here is a book that will be welcomed not just by professional project managers but by anyone using human and material resources to accomplish a complex task.
Enterprise Risk Management in Finance is a guide to measuring and managing Enterprise-wide risks in financial institutions. Financial institutions operate in a unique manner when compared to other businesses. They are, by the nature of their business, highly exposed to risk at every level, and indeed employ their own risk management functions to manage many of these risks. However, financial firms are also highly exposed at enterprise level. Traditional approaches and frameworks for ERM are flawed when applied to banks, asset managers or insurance houses, and a different approach is needed. This new book provides a comprehensive, technical guide to ERM for financial institutions. Split into ...
Multinational organizations have begun to realize that sentiment mining plays an important role for decision making and market strategy. The revolutionary growth of digital marketing not only changes the market game, but also brings forth new opportunities for skilled professionals and expertise. Currently, the technologies are rapidly changing, and artificial intelligence (AI) and machine learning are contributing as game-changing technologies. These are not only trending but are also increasingly popular among data scientists and data analysts. New Opportunities for Sentiment Analysis and Information Processing provides interdisciplinary research in information retrieval and sentiment anal...
Outsourcing has become an increasingly important issue for many organisations. This book provides a framework for an up-to-date understanding of the outsourcing process and the key issues associated with it. It integrates a number of contemporary topics including benchmarking, buyer-supplier relationships, organisational behaviour, competitor analysis, and technology influences. The analysis draws upon both empirical research and real case studies. The author starts by providing guidelines as to when outsourcing is appropriate and what its implications will be, before moving on to explain how outsourcing is implemented. The benefits of both successful outsourcing and the risks and consequences of outsourcing failure are outlined. The book is ideal for use by postgraduate students studying the area of outsourcing. It would also benefit industry managers who are considering outsourcing or who already have outsourcing programmes in place.