This book systematically examines and quantifies industrial problems by assessing the complexity and safety of large systems. It includes chapters on system performance management, software reliability assessment, testing, quality management, analysis using soft computing techniques, management analytics, and business analytics, with a clear focus on exploring real-world business issues. Through contributions from researchers working in the area of performance, management, and business analytics, it explores the development of new methods and approaches to improve business by gaining knowledge from bulk data. With system performance analytics, companies are now able to drive performance and provide actionable insights for each level and for every role using key indicators, generate mobile-enabled scorecards, time series-based analysis using charts, and dashboards. In the current dynamic environment, a viable tool known as multi-criteria decision analysis (MCDA) is increasingly being adopted to deal with complex business decisions. MCDA is an important decision support tool for analyzing goals and providing optimal solutions and alternatives. It comprises several distinct techniques, which are implemented by specialized decision-making packages. This book addresses a number of important MCDA methods, such as DEMATEL, TOPSIS, AHP, MAUT, and Intuitionistic Fuzzy MCDM, which make it possible to derive maximum utility in the area of analytics. As such, it is a valuable resource for researchers and academicians, as well as practitioners and business experts.

Gary Gastineau and Mark Kritzman team up once again for the third edition of this classic reference tool designed for financial analysts and managers. Anyone involved in financial risk management must have a proper understanding of the words, terms, and phrases used in this fast paced field-and Dictionary of Financial Risk Management clearly provides that understanding. Risk management terminology is a part of almost any financial operation, including cash, forwards/futures, swaps, options-and is found in many disciplines: probability and statistics, tax and financial accounting, and law. The vocabulary of the risk manager continues to expand with the creation of new products and new concepts. This volume carefully defines and illustrates all the words and phrases that financial professionals need to know and understand. The Dictionary of Financial Risk Management includes listings of common acronyms, profit/loss diagrams of new financial instruments, and extensive coverage of derivatives and quantitative techniques. This invaluable reference guide provides comprehensive definitions of the key terms and concepts that many financial professionals need to know on a day-to-day basis.

"Energy Budgets at Risk" "(EBar)"(R) provides everyone from facility energy managers and financial managers to government policy-makers and electric utilities program planners with the background information required to understand energy cost, price, efficiency, and related issues important in developing a balanced approach to facility energy risk management. Throughout the book, respected energy economist Dr. Jerry Jackson clearly shows how to reduce energy costs and increase cash flows by using risk management concepts developed in the financial industry.

For courses in decision support systems, computerised decision-making tools, and management support systems. Market-leading guide to modern analytics, for better business decisions Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support is the most comprehensive introduction to technologies collectively called analytics (or business analytics) and the fundamental methods, techniques, and software used to design and develop these systems. Students gain inspiration from examples of organisations that have employed analytics to make decisions. With six new chapters, the 11th edition marks a major reorganisation reflecting a new focus - analytics and its enabling technologies, including AI, machine-learning, robotics, chatbots, and IoT.

This book demonstrates the theoretical value and practical significance of systems science and its logic of thinking by presenting a rigorously developed foundation-a tool for intuitive reasoning, which is supported by both theory and empirical evidence, as well as practical applications in business decision making. Following a foundation of general systems theory, the book presents an applied method to intuitively learn system-sciences fundamentals. The third and final part examines applications of the yoyo model and the theoretical results developed earlier within the context of problems facing business decision makers by organically combining methods of traditional science, the first dimension of science, with those of systems science, the second dimension, as argued by George Klir in the 1990s. This text would benefit graduate students, researchers, or practitioners in the areas of mathematics, systems science or engineering, economics, and business decision science.

Large western companies are accelerating their expansion into emerging economies, while relying on oversimplified frameworks to make decisions and complex matrix organizations to make things happen. When critical events do happen (such as terrorist attacks or civil wars), senior executives and the companies they lead are often taken by surprise. As the world shifts to a less stable geopolitical structure, only firms that can acquire a better capability to foresee and prepare for change will prevail over the long term. Strategy and Geopolitics provides a strategic framework that can help senior business executives address the challenges of globalization in this evolving geopolitical landscape. This book underlines the need to go beyond a simplistic understanding of different countries and territories: it discusses the geopolitical issues that can be the cause of success or failure in different markets; and it explores strategies for dealing with global and local complexity, as well as introducing innovative ideas on recruitment and organization.

This is a book about the evaluation and choice of information sources by individuals and the design and management of information systems by organizations. The book studies the determinants of the value and cost of information, both to the individual and to the organization, provides technqiues for the assessment of the value of information and the comparison of informativeness among alternative sources, and presents principles for the optimal design and management of information systems. These topics are unified by the thesis that both information sources and information systems are valuable to the extent they contribute to better decision making. By providing students, researchers, and practitioners with a coherent notation and framework throughout, the book integrates the decision-theoretic approach to the evaluation of information with knowledge from information science and management information systems on the design, management, and cost of cooperative information systems, thereby demonstrating the multidisciplinary applicability of a unifying approach based on decision theory. Researchers and graduate students in economics, operations research, management information systems, and information science will find this book useful.

Decisions in businesses and organizations are too often based on fads, fashions and the success stories of famous CEOs. At the same time, traditional models and new cutting-edge solutions often fail to deliver on what they promise. This situation leaves managers, business leaders, consultants and policymakers with a profound challenge: how can we stay away from trends and quick fixes, and instead use valid and reliable evidence to support the organization? In response to this problem, evidence-based management has evolved with the goal of improving the quality of decision-making by using critically evaluated evidence from multiple sources - organizational data, professional expertise, stakeholder values and scientific literature. This book sets out and explains the specific skills needed to gather, understand and use evidence to make better-informed organizational decisions. Evidence-Based Management is a comprehensive guide that provides current and future managers, consultants and organizational leaders with the knowledge and practical skills to improve the quality and outcome of their decision-making. Online resources include case studies, exercises, lecture slides and further reading.

Decision-making has been one of the principal victims of 'modern' thinking. The 'analytical' approach has, of course, brought us vaccines, electricity and the internal combustion engine. But, in seeking to break things down into their component parts and improve the parts, governments and businesses continue to make some astonishingly bad decisions. What's more, many enterprises still pay close attention to 'decisions' and 'decision-making' whilst overlooking the bigger picture: the organizational system within which those decisions get made. This elegant book is a guide for any public, private, government or non-profit organization that needs a system for making better decisions. It sets out to change our 'analytical' habit and invites enterprises to consider the bigger picture. Author Vince Barabba presents an elegantly simple approach to making better decisions. He calls this approach 'The Decision Loom' and bases it on Systems Thinking, Design Thinking and Complexity Theory. He also describes the four core capabilities that any organization must put in place for this approach to work. What's more (because we're humans and prefer stories to instruction manuals) the tapestry of the book is embroidered with fascinating examples from the author's lifetime of experience at the head of American corporate and public decision-making.

This book is about how models can be developed to represent demand and supply on markets, where the emphasis is on demand models. Its primary focus is on models that can be used by managers to support marketing decisions. Modeling Markets presents a comprehensive overview of the tools and methodologies that managers can use in decision making. It has long been known that even simple models outperform judgments in predicting outcomes in a wide variety of contexts. More complex models potentially provide insights about structural relations not available from casual observations. In this book, the authors present a wealth of insights developed at the forefront of the field, covering all key aspects of specification, estimation, validation and use of models. The most current insights and innovations in quantitative marketing are presented, including in-depth discussion of Bayesian estimation methods. Throughout the book, the authors provide examples and illustrations. This book will be of interest to researchers, analysts, managers and students who want to understand, develop or use models of marketing phenomena.

Set your company up for long-term success. Every company needs a strategy. A focused strategy aligns decision making throughout the organization and helps establish a competitive edge in the marketplace. But with so many options to consider, how do you define a unique strategy that will ensure growth? Whether you're starting a business from scratch or leading an existing company facing new threats, this book offers the direction you need. The HBR Guide to Setting Your Strategy provides practical tips and advice that break down the process of crafting strategy so you can identify the areas your company should build on to help it thrive long into the future. You'll learn to: Understand what strategy is&#8212and what it isn't Define where you'll play and how you'll win Conduct more-effective strategic discussions with your team Test your strategy before you implement it Communicate your strategy to key stakeholders Ensure your strategy is flexible and adaptable Arm yourself with the advice you need to succeed on the job, with the most trusted brand in business. Packed with how-to essentials from leading experts, the HBR Guides provide smart answers to your most pressing work challenges.

Optimal Control and Dynamic Games has been edited to honor the outstanding contributions of Professor Suresh Sethi in the fields of Applied Optimal Control. Professor Sethi is internationally one of the foremost experts in this field. He is, among others, co-author of the popular textbook "Sethi and Thompson: Optimal Control Theory: Applications to Management Science and Economics."

The book consists of a collection of essays by some of the best known scientists in the field, covering diverse aspects of applications of optimal control and dynamic games to problems in Finance, Management Science, Economics, and Operations Research. In doing so, it provides both a state-of-the-art overview over recent developments in the field, and a reference work covering the wide variety of contemporary questions that can be addressed with optimal control tools, and demonstrates the fruitfulness of the methodology.

This book is designed to help MIS and information center managers and their staffs to efficiently and cost effectively meet the needs of end-users in their organizations. Focusing on managerial aspects of information centers, Robert J. Thierauf explores the ways in which new information technology--spreadsheets, query languages, report writers, word processing, etc.--can be placed in the hands of end-users without the interdepartmental conflict and loss of systems control often associated with such transitions.

This open access book focuses on both the theory and practice associated with the tools and approaches for decisionmaking in the face of deep uncertainty. It explores approaches and tools supporting the design of strategic plans under deep uncertainty, and their testing in the real world, including barriers and enablers for their use in practice. The book broadens traditional approaches and tools to include the analysis of actors and networks related to the problem at hand. It also shows how lessons learned in the application process can be used to improve the approaches and tools used in the design process. The book offers guidance in identifying and applying appropriate approaches and tools to design plans, as well as advice on implementing these plans in the real world. For decisionmakers and practitioners, the book includes realistic examples and practical guidelines that should help them understand what decisionmaking under deep uncertainty is and how it may be of assistance to them. Decision Making under Deep Uncertainty: From Theory to Practice is divided into four parts. Part I presents five approaches for designing strategic plans under deep uncertainty: Robust Decision Making, Dynamic Adaptive Planning, Dynamic Adaptive Policy Pathways, Info-Gap Decision Theory, and Engineering Options Analysis. Each approach is worked out in terms of its theoretical foundations, methodological steps to follow when using the approach, latest methodological insights, and challenges for improvement. In Part II, applications of each of these approaches are presented. Based on recent case studies, the practical implications of applying each approach are discussed in depth. Part III focuses on using the approaches and tools in real-world contexts, based on insights from real-world cases. Part IV contains conclusions and a synthesis of the lessons that can be drawn for designing, applying, and implementing strategic plans under deep uncertainty, as well as recommendations for future work. The publication of this book has been funded by the Radboud University, the RAND Corporation, Delft University of Technology, and Deltares.

There is no denying the global economy is changing at a rapid pace. Competition is increasing in intensity, technology is increasing in complexity, and innovation is increasing in importance, but approaches to managerial decision-making have not kept pace. This rigidity explains such corporate disasters as the blowout, explosion, and fire at the BP drilling platform in the Gulf of Mexico in 2010, the total collapse of the residential mortgage industry that started in 2006, and the use of lead paint on children's toys revealed in 2007. Managers today face 21st century problems, and Avoiding Corporate Breakdowns provides the means of solving these very problems.

The field of multiple criteria decision analysis (MCDA), also termed multiple criteria decision aid, or multiple criteria decision making (MCDM), has developed rapidly over the past quarter century and in the process a number of divergent schools of thought have emerged. This can make it difficult for a new entrant into the field to develop a comprehensive appreciation of the range of tools and approaches which are available to assist decision makers in dealing with the ever-present difficulties of seeking compromise or consensus between conflicting inter ests and goals, i.e. the "multiple criteria." The diversity of philosophies and models makes it equally difficult for potential users of MCDA, i.e. management scientists and/or decision makers facing problems involving conflicting goals, to gain a clear understanding of which methodologies are appropriate to their particular context. Our intention in writing this book has been to provide a compre hensive yet widely accessible overview of the main streams of thought within MCDA. We aim to provide readers with sufficient awareness of the underlying philosophies and theories, understanding of the practi cal details of the methods, and insight into practice to enable them to implement any of the approaches in an informed manner. As the title of the book indicates, our emphasis is on developing an integrated view of MCDA, which we perceive to incorporate both integration of differ ent schools of thought within MCDA, and integration of MCDA with broader management theory, science and practice."

The subject of "design thinking" is the rage at business schools, throughout corporations, and increasingly in the popular press-due in large part to the work of IDEO, a leading design firm, and its celebrated CEO, Tim Brown, who uses this book to show how the techniques and strategies of design belong at every level of business. The myth of innovation is that brilliant ideas leap fully formed from the minds of geniuses. The reality is that most innovations come from a process of rigorous examination through which great ideas are identified and developed before being realized as new offerings and capabilities. Change by Design explains design thinking, the collaborative process by which the designer's sensibilities and methods are employed to match people's needs, not only with what is technically feasible, but what is viable to the bottom line. Design thinking converts need into demand. It's a human-centered approach to problem solving that helps people and organizations become more innovative and more creative. Introduced a decade ago, the concept of design thinking remains popular at business schools, throughout corporations, and increasingly in the popular press-due in large part to work of IDEO, the undisputed world leading strategy, innovation, and design firm headed by Tim Brown. As he makes clear in this visionary guide-now updated with addition material, including new case studies, and a new introduction-design thinking is not just applicable to so-called creative industries or people who work in the design field. It's a methodology that has been used by organizations such as Kaiser Permanente, to increase the quality of patient care by re-examining the ways that their nurses manage shift change, or Kraft, to rethink supply chain management. Change by Design is not a book by designers for designers; it is a book for creative leaders seeking to infuse design thinking into every level of an organization, product, or service to drive new alternatives for business and society.

This book presents a range of qualitative and quantitative analyses in areas such as cybersecurity, sustainability, multivariate analysis, customer satisfaction, parametric programming, software reliability growth modeling, and blockchain technology, to name but a few. It also highlights integrated methods and practices in the areas of machine learning and genetic algorithms. After discussing applications in supply chains and logistics, cloud computing, six sigma, production management, big data analysis, satellite imaging, game theory, biometric systems, quality, and system performance, the book examines the latest developments and breakthroughs in the field of science and technology, and provides novel problem-solving methods. The themes discussed in the book link contributions by researchers and practitioners from different branches of engineering and management, and hailing from around the globe. These contributions provide scholars with a platform to derive maximum utility in the area of analytics by subscribing to the idea of managing business through system sciences, operations, and management. Managers and decision-makers can learn a great deal from the respective chapters, which will help them devise their own business strategies and find real-world solutions to complex industrial problems.

This book concentrates on one of the most important directions for research on banking and finance for the next decade: the problem of information and risk management. Recent theoretical and empirical contributions consider asymmetric information between investors and financiers as a major determinant of financial risk. In this framwork, financial and banking innovation may be regarded as policy and individual agents' response to the problem of asymmetric information and risk management and also as a self-generated innovation process posing new challenges to policymakers in terms of informational efficiency and risk control.

Enterprise Risk Management: A Common Framework for the Entire Organization discusses the many types of risks all businesses face. It reviews various categories of risk, including financial, cyber, health, safety and environmental, brand, supply chain, political, and strategic risks and many others. It provides a common framework and terminology for managing these risks to build an effective enterprise risk management system. This enables companies to prevent major risk events, detect them when they happen, and to respond quickly, appropriately, and resiliently. The book solves the problem of differing strategies, techniques, and terminology within an organization and between different risk specialties by presenting the core principles common to managing all types of risks, while also showing how these principles apply to physical, financial, brand, and global strategy risks. Enterprise Risk Management is ideal for executives and managers across the entire organization, providing the comprehensive understanding they need, in everyday language, to successfully navigate, manage, and mitigate the complex risks they face in today's global market.

This is the state-of-the-art, international handbook for a field of inquiry that is still emergent and yet occupies a central position in contemporary management and organization theory. Mark Easterby-Smith and Marjorie Lyles have drawn together in their authoritative reference work original essays from the leading scholars in organizational learning and knowledge management around the world.

Not least in importance is the linkage they make between these two adjacent areas: learning and knowledge are often debated separately despite their close relationship. In this volume leading scholars from the fields of organizational learning, the learning organization, knowledge management and organizational knowledge, examine the issues and debates, as well as the processes and management implications, that are key to each of these approaches. The resulting set of essays offers researchers and students an invaluable guide.

Tracing the roots of learning and knowledge debates across the disciplines of economics, psychology, and social theory, and charting the key contributions scholars have made, this is a major, in-depth overview which all scholars of organizational learning and knowledge management will need on their shelves.

Proceedings of a Symposium on Heavy Gas, Frankfurt am Main, September 3-4, 1979

This book presents the construction and resolution of 50 practical optimization problems and covers an exceptionally wide range, including games-associated problems (Unblock Me, Sudokus), logistical problems, and problems concerning plant distribution, production, operations scheduling, management and resource allocation. The problems are divided into 5 difficulty levels. Problems in the first few levels are focused on learning the model construction methodology, while those in the last level include complex optimization environments. For each problem solution, the specific steps are illustrated, promoting reader comprehension. In addition, all the models are implemented in an optimization library, LINGO, their solutions have been analyzed and their correct construction has been verified. The book also includes a simple guide to implementing models in LINGO in a straightforward manner and in any input data format (text files, spreadsheets or databases). As an ideal companion to the author's previously published work Modelling in Mathematical Programming, the book is intended as a basic tool for students of operations research, and for researchers in any advanced area involving mathematical programming.

Business Espionage: Risk, Threats, and Countermeasures provides the best practices needed to protect a company's most sensitive information. It takes a proactive approach, explaining the measures and countermeasures that can be enacted to identify both threats and weaknesses. The text fully explains the threat landscape, showing not only how spies operate, but how they can be detected. Drawn from the author's 40 years of experience, this vital resource will give readers a true understanding of the threat of business spying and what businesses can do to protect themselves. It is ideal for use as a tool to educate staff on the seriousness of the threat of business espionage.