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.

In recent years, there has been a growing debate, particularly in the UK and Europe, over the merits of using discrete-event simulation (DES) and system dynamics (SD); there are now instances where both methodologies were employed on the same problem. This book details each method, comparing each in terms of both theory and their application to various problem situations. It also provides a seamless treatment of various topics--theory, philosophy, detailed mechanics, practical implementation--providing a systematic treatment of the methodologies of DES and SD, which previously have been treated separately.

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.

Decision-makers at all levels are being confronted with novel complexities and uncertainties and face long-term challenges which require foresight about long-term future prospects, assumptions, and strategies. This book explores how foresight studies can be systematically undertaken and used in this context. It explicates why and how methods like horizon scanning, scenario planning, and roadmapping should be applied when dealing with high levels of uncertainty. The scope of the book moves beyond "narrow" technology foresight, towards addressing systemic interrelations between social, technological, economic, environmental, and political systems. Applications of foresight tools to such fields as energy, cities, health, transportation, education, and sustainability are considered as well as enabling technologies including nano-, bio-, and information technologies and cognitive sciences. The approaches will be illustrated with specific actual cases.

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.

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.

"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 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.

From the author of Expecting Better and The Family Firm, an economist's guide to the early years of parenting. "Both refreshing and useful. With so many parenting theories driving us all a bit batty, this is the type of book that we need to help calm things down." -LA Times "The book is jampacked with information, but it's also a delightful read because Oster is such a good writer." -NPR With Expecting Better, award-winning economist Emily Oster spotted a need in the pregnancy market for advice that gave women the information they needed to make the best decision for their own pregnancies. By digging into the data, Oster found that much of the conventional pregnancy wisdom was wrong. In Cribsheet, she now tackles an even greater challenge: decision-making in the early years of parenting. As any new parent knows, there is an abundance of often-conflicting advice hurled at you from doctors, family, friends, and strangers on the internet. From the earliest days, parents get the message that they must make certain choices around feeding, sleep, and schedule or all will be lost. There's a rule-or three-for everything. But the benefits of these choices can be overstated, and the trade-offs can be profound. How do you make your own best decision? Armed with the data, Oster finds that the conventional wisdom doesn't always hold up. She debunks myths around breastfeeding (not a panacea), sleep training (not so bad!), potty training (wait until they're ready or possibly bribe with M&Ms), language acquisition (early talkers aren't necessarily geniuses), and many other topics. She also shows parents how to think through freighted questions like if and how to go back to work, how to think about toddler discipline, and how to have a relationship and parent at the same time. Economics is the science of decision-making, and Cribsheet is a thinking parent's guide to the chaos and frequent misinformation of the early years. Emily Oster is a trained expert-and mom of two-who can empower us to make better, less fraught decisions-and stay sane in the years before preschool.

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.

In a world facing chronic and increasing shortages in food crops and natural resources, visionary leadership in agriculture becomes more and more critical for building and maintaining a sustainable future. It is of paramount importance that the dynamic and challenging evolution in agriculture over the last century and a half be met today with imaginative leadership in virtually all aspects of activities and organizations involved. Leadership in Agriculture: Case Studies for a New Generation focuses on key characteristics and elements of leadership. Using case studies from research, industry, education, administration, and extension services, the authors present real-world circumstances ranging from natural disasters to major restructuring that demanded problem solving, new initiatives, consensus, and organizational commitment. Drawing on their own experiences and covering topics as diverse as closing facilities, mounting a national research initiative, reinventing a major corporation, and dealing with invasive termites, the studies contain examples of both good and bad outcomes and tie back to the stated leadership principles and qualities.

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.

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.

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.

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.

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."

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 fascinating book aims to provide a deeper understanding of the decision-making processes of entrepreneurs. This is achieved via a comparison of entrepreneurial individuals with different levels of expertise in contexts with varying degrees of potential for entrepreneurial success. This multidisciplinary study is based on entrepreneurship theory and empirical research as well as cognitive psychology. The cognitive perspective provides a link between the entrepreneur and new business creation by focusing on an individual's cognitive behaviour rather than on their personality traits. The essential issues of gathering and application of knowledge and expertise are also addressed: one of the most important implications of the study is that successful entrepreneurial decision-making behaviour can actually be taught and learned. The book concludes, however, that the provision of optimal teaching methods of this decision-making behaviour is a stiff challenge faced by entrepreneurship education. Presenting a novel combination of cognitive psychology and entrepreneurship theory with important practical implications, this book will strongly appeal to those involved in the study of entrepreneurship and cognitive psychology, and business and management. Entrepreneurs themselves will also find much to interest them in this book.

This research-oriented book presents key contributions on architecting the digital transformation. It includes the following main sections covering 20 chapters: * Digital Transformation * Digital Business * Digital Architecture * Decision Support * Digital Applications Focusing on digital architectures for smart digital products and services, it is a valuable resource for researchers, doctoral students, postgraduates, graduates, undergraduates, academics and practitioners interested in digital transformation.

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.

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