With the influence of operations research and management science, business and administration methods have made significant strides in advancing the effective application methods for decision-making processes. Management Science, Logistics, and Operations Research examines related research in decision, management, and other behavioral sciences in order to exchange and collaborate on information among business, industry, and government. This book presents innovative theories and practices in operations research and is essential for practitioners, educators, and researchers for improving business functions and decision making.

Crisis Leadership examines the challenges faced by leaders at each stage of the crisis 'lifecycle', and offers a unique insight into the lessons learned by people in the most challenging of situations. Anyone in a leadership position is only too aware that we live in uncertain times: disaster can strike any business, at any time, and usually without warning. Public institutions, too, face a range of threats - from global recession, resurgent terrorism and a stream of appalling natural disasters. For leaders in such organisations, these crisis situations can present both opportunities and threats. How they lead through such challenging times will propel their careers to new heights - or destroy them completely. Crisis Leadership examines the challenges faced by leaders at each stage of the crisis 'lifecycle', from the instant they learn of the crisis, through to moments of critical decision-making and the final tumultuous days. Tim Johnson offers a unique insight into the lessons learned by people in the most challenging of situations. Blended with operational guidance from the author's extensive experience in crisis management, Crisis Leadership provides an overview of the crisis 'lifecycle', to ensure that readers will come away from this book with a deeper appreciation of the critical nature of each key stage and the leadership challenges they bring - from the first signs of an emerging crisis to dealing with the long-term consequences they can create.

Not a data expert? Here's an engaging and entertaining guide to interpreting and drawing insights from any chart, graph, or other data visualization you'll encounter. You're a business professional, not a data scientist. How do you make heads or tails of the data visualizations that come across your desk-let alone make critical business decisions based on the information they're designed to convey? In The Big Picture, top data visualization consultant Steve Wexler provides the tools for developing the graphical literacy you need to understand the data visualizations that are flooding your inbox-and put that data to use. Packed with the best four-color examples created in Excel, Tableau, Power BI, and Qlik, among others, this one-stop resource empowers you to extract the most important information from data visualizations quickly and accurately, act on key insights, solve problems, and make the right decisions for your organization every time.

Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R explains and demonstrates, via the accompanying open-source software, how advanced analytical tools can address various business problems. It also gives insight into some of the challenges faced when deploying these tools. Extensively classroom-tested, the text is ideal for students in customer and business analytics or applied data mining as well as professionals in small- to medium-sized organizations. The book offers an intuitive understanding of how different analytics algorithms work. Where necessary, the authors explain the underlying mathematics in an accessible manner. Each technique presented includes a detailed tutorial that enables hands-on experience with real data. The authors also discuss issues often encountered in applied data mining projects and present the CRISP-DM process model as a practical framework for organizing these projects. Showing how data mining can improve the performance of organizations, this book and its R-based software provide the skills and tools needed to successfully develop advanced analytics capabilities.

For over 30 years, James March has made a sustained and innovative contribution to the field of organizational theory. In this series of lectures, previously unpublished in English, March explores the problems of leadership. These problems, he proposes, are dealt with more effectively in works of great literature than in management textbooks. Reading 'War and Peace' or 'Don Quixote', according to March, allows us to develop a critical ability which complements the techniques we acquire elsewhere.

March uses literature to present a range of moral dilemmas related to leadership - questions concerning the balance between private life and public duties, between ingenuity and innocence, between diversity and integration, and between the expression and the control of sexuality. He encourages us to explore ideas that are subversive, unpalatable, and which may not work in the short term, but which allow organisations to adapt in a rapidly changing world.

This book mainly introduces some techniques of decision-making, uncertain reasoning and regression analysis under the hesitant fuzzy environment and expands the applications of hesitant fuzzy sets in solving practical problems. The book pursues three major objectives: (1) to introduce some techniques about decision-making, uncertain reasoning and regression analysis under the hesitant fuzzy environment, (2) to prove these techniques theoretically and (3) to apply the involved techniques to practical problems. The book is especially valuable for readers to understand how hesitant fuzzy set could be employed in decision-making, uncertain reasoning and regression analysis and motivates researchers to expand more application fields of hesitant fuzzy set.

Using a wide range of operational research (OR) optimization examples, Applied Operational Research with SAS demonstrates how the OR procedures in SAS work. The book is one of the first to extensively cover the application of SAS procedures to OR problems, such as single criterion optimization, project management decisions, printed circuit board assembly, and multiple criteria decision making. The text begins with the algorithms and methods for linear programming, integer linear programming, and goal programming models. It then describes the principles of several OR procedures in SAS. Subsequent chapters explain how to use these procedures to solve various types of OR problems. Each of these chapters describes the concept of an OR problem, presents an example of the problem, and discusses the specific procedure and its macros for the optimal solution of the problem. The macros include data handling, model building, and report writing. While primarily designed for SAS users in OR and marketing analytics, the book can also be used by readers interested in mathematical modeling techniques. By formulating the OR problems as mathematical models, the authors show how SAS can solve a variety of optimization problems.

This book offers a process for conceiving solutions to complex, wicked, messy, swampy or socio-technical problems. When charged with complex problem solving, a useful set of concepts needs to emerge, be agreed, and acted upon. Using relevant examples and solution mapping, Mike Metcalfe explains how pragmatic philosophy can be used as a process for solving such issues.To explain why and how to formulate reflective, pragmatic, or concept driven problem-solving, this book uses the concepts of: - Pragmatic inquiry - Stakeholders' concerns - Idea networking - Solution concepts - Paradoxical outcomes, and - Intent (with related actions). This innovative book will be of interest to academics, postgraduate students and managers charged with solving complex social or managerial problems. Contents: Preface 1. Reflective Thinking 2. Problem-solving as Pragmatic Inquiry 3. Concerns as Default Concepts 4. Collaborative Planning 5. Idea Networking 6. Solution Concepts 7. Concepts as Dialectic Decision Criteria 8. Solution Action Plans 9. Paradoxical Consequences 10. Questioning Action Plans 11. Solutions Mapping 12. Conclusion Appendix 1: Networking Statements

Risk Analysis in Finance and Insurance, Second Edition presents an accessible yet comprehensive introduction to the main concepts and methods that transform risk management into a quantitative science. Taking into account the interdisciplinary nature of risk analysis, the author discusses many important ideas from mathematics, finance, and actuarial science in a simplified manner. He explores the interconnections among these disciplines and encourages readers toward further study of the subject. This edition continues to study risks associated with financial and insurance contracts, using an approach that estimates the value of future payments based on current financial, insurance, and other information. New to the Second Edition Expanded section on the foundations of probability and stochastic analysis Coverage of new topics, including financial markets with stochastic volatility, risk measures, risk-adjusted performance measures, and equity-linked insurance More worked examples and problems Reorganized and expanded, this updated book illustrates how to use quantitative methods of stochastic analysis in modern financial mathematics. These methods can be naturally extended and applied in actuarial science, thus leading to unified methods of risk analysis and management.

Inflation is here. Do you know how it's impacting your company? It's not just a matter of rising costs. Inflation eats cash, squeezes margins, threatens working capital, and throws all your great forecasts and plans into question. Its effect is cumulative and pervasive. Yet this period of economic discontinuity is a huge opportunity to come out stronger for those who know how to lead in the face of inflation and a looming recession. Ram Charan has guided hundreds of companies through many tough business challenges. In the early 1980s, he helped GE preserve its teetering credit rating in the face of double-digit inflation. Now, in Leading Through Inflation, he brings the same common sense and wisdom that made his book Execution, coauthored with Larry Bossidy, a long-time New York Times bestseller. This book will be your guide to avoiding the hazards of inflation while positioning your company to thrive when the business cycle stabilizes. It provides Ram's down-to-earth recommendations and real-world examples to help you navigate a landscape that may be new to you. As you learn to lead through inflation, you will be better prepared for recession and stagflation as well. You will know how to protect your cash, your customers, and your capital investments. Your psychology will shift from anxiety and fear to optimism and excitement as you define the path to a reimagined future.

Why do organisations decline, and what happens when they do? Strategy and Managed Decline: London Transport 1948-87 is a historical case study looking at how London Transport, a world beater in 1948, declined from being an international exemplar to dilapidation in 30 years. Strategy and Managed Decline considers the inheritance left by the founders of London Transport and subjects their legacy to a strategic and political audit. In three sections, the book examines archival data from the Transport for London (TfL) Archive covering the car revolution, strategic political clashes and the performance of the chairmen to challenge existing theory and extant histories. It offers hypotheses situated in management, leadership, politics and strategy which explain the decades of deterioration followed by a dramatic revival in the late 1980s. Examining the turbulent politics of the long conflict between London Transport, municipal and national government in detail, Strategy and Managed Decline: London Transport 1948-87 offers novel interpretations of events by objectively analysing the strategic stories that politics created about London's transport. It concludes by asking whether a shift in managerial strategy away from maximising utility and towards cost minimisation caused, or was just coincident with, resurgence and explores what lessons there are for TfL today.

Quantitative Methods for Business has been thoroughly revised and updated for this 5th edition, and continues to provide a simple and practical introduction to an area that students can find difficult. The book takes a non-threatening approach to the subject, avoiding excessive mathematics and abstract theory. It shows how to apply quantitative ideas to the real problems faced by managers.

The book includes numerous exercises and examples that help students understand the relevance of quantitative ideas to business. Assuming no previous knowledge, the text provides complete coverage for a first course in quantitative methods.

Retaining top talent is a universal concern that is increasingly global. However, the context, meaning, and mechanisms for changing jobs varies around the world. Global Talent Retention: Understanding Employee Turnover Around the World provides the first context-specific global perspective on retaining talent. Although extensive research informs understanding of why employees decide to leave or remain with organizations, the bulk of theory and research adopts a U.S.-centric perspective, problematic because most employees do not work for firms that are U.S.-owned or based. Global Talent Retention addresses the need for turnover theory and research to give more careful consideration to global and cross-cultural perspectives on employee retention, and includes contributions from a global range of scholars in differing cultural contexts in Africa, Asia, Europe, Latin America, and the Middle East. The chapters represent many of the largest and most dynamic economies in the world, including Bulgaria, China, Denmark, Germany, India, Mexico, South Africa, South Korea, Spain, Turkey, and the UK. Each chapter provides a description of the institutional, legal, and cultural context as it relates to employee mobility, a review of context-specific research leading to a description of how the mechanisms of prominent turnover theories may operate differently in particular contexts, and the implications for research and practice related to employee turnover and retention.

The rise of game theory has made bargaining one of the core issues in economic theory. Written at a theoretical and conceptual level, the book develops a framework for the analysis of bargaining processes. The framework focuses on the dynamic of the bargaining process, which is in contrast to much previous theoretical work on the subject, and most notably to the approaches stemming from game theory. Chapters include: * Decision-Making and Expectations in Theories of Bargaining * Decision-Making and Expectations in a Game Theory Model * Limitations of the Environment Concept * Game Theory as a Basis for a Theory of Bargaining * The Decision/Expectation/adjustment Approach * The Adjustment Process * Direct Interdependence and the Consistency of Decisions

Security Metrics Management, Measuring the Effectiveness and Efficiency of a Security Program, Second Edition details the application of quantitative, statistical, and/or mathematical analyses to measure security functional trends and workload, tracking what each function is doing in terms of level of effort (LOE), costs, and productivity. This fully updated guide is the go-to reference for managing an asset protection program and related security functions through the use of metrics. It supports the security professional's position on budget matters, helping to justify the cost-effectiveness of security-related decisions to senior management and other key decision-makers. The book is designed to provide easy-to-follow guidance, allowing security professionals to confidently measure the costs of their assets protection program - their security program - as well as its successes and failures. It includes a discussion of how to use the metrics to brief management, build budgets, and provide trend analyses to develop a more efficient and effective asset protection program.

What do you do when the algorithm doesn't have the answer? Countless tools and frameworks claim to make decisions objective and bias-free. But in reality, the defining decisions that leaders face are complex ones with subjective information sources and conflicting courses of action. That's why the toughest choices are left to the leaders, and that's why formulas won't answer them. In Difficult Decisions: How Leaders Make the Right Call with Insight, Integrity, and Empathy, leadership expert and CEO of YSC Consulting, Eric Pliner, delivers a set of practical tools for readers to make sense of these complex, subjective decisions quickly and with integrity. It presents a path to understanding your own subjectivity, and how your morals, ethics, and responsibilities affect how leaders make the most important decisions. Difficult Decisions is ideal for executives, managers, and business leaders to examine their own intuition and navigate the most conflicted choices they make. It's a challenging read and an indispensable resource to help readers develop self-reflection, clarify their values, and ultimately make the choice that is most "right" to them.

Human decisions, especially in management and personnel selection, are based on making judgments about people analytically and intuitively. Yet in business and scientific contexts, judgments are expected to be based on a rational analysis rather than intuitions or emotions. Intuition is often seen as something mystical that should not be trusted and thus eliminated from human decision-making. Our empirical and theoretical research shows that this is impossible when people are dealing with people. Instead, intuitions and emotions have significant power in the decision-making process. Neuroscience even shows that humans are incapable of switching off their emotions or intuitions when making decisions. Therefore, intuition and emotions as evolutionary achievements of human beings should be looked at more closely to use the wisdom they offer. This book provides an insight into the current state of research on rational-analytical procedures in personnel selection and complements this with research on intuitions and emotions in personnel diagnostics. By integrating scientifically verifiable rational-analytical decision-making procedures with the inner experiential knowledge of people, this book bridges two complementary ways of recognizing and making good decisions. It demonstrates how intuitions are developed and used in different fields of practice and cultures and how scientific research results from rational-analytical and intuitive-emotional selection procedures are successfully integrated by practitioners.

The world is increasingly turbulent and complex, awash with disruptions, tipping points and knock-on effects exemplified by the implosion of financial markets and economies around the globe. This book is for business and organizational leaders who want and need to think through how best to deal with increasing turbulence, and with the complexity and uncertainty that come with it. The authors explain in clear language how future orientation and, specifically, modern scenario techniques help to address these conditions. They draw on examples from a wide variety of international settings and circumstances including large corporations, inter-governmental organizations, small firms and municipalities. Readers will be inspired to try out scenario approaches themselves to better address the turbulence that affects them and others with whom they work, live and do business. This second edition extends the use of scenarios planning and methods to tackle the risk and uncertainty of financial markets and the potentially massive impacts on businesses of all kinds, providing powerful tools to give far thinking executives an advantage in these turbulent times.

Making important business decisions is usually a difficult and complicated task. In the modern economy where businesses have to solve increasingly complex decision-making problems, it is important to learn and use methods and techniques including the analysis of behavioral data to support decision-making in practice. This book presents various methods and solutions to problems in modern data acquisition techniques and practical aspects of decision making. In particular, it addresses such important issues as: business decision making, multi-criteria decision analysis (MCDA), multidimensional comparative analysis (MCA), decision games and data acquisition techniques for decision making (declarative techniques and cognitive neuroscience techniques). Important topics such as consumers' rational behavior, environmental management accounting, operational research methods, neuroscience including epigenetics, DEA analysis etc., as well as case studies related to decision making in management are also included.

This book presents the human, cultural, and scientific contributions of professor Eliano Pessa, who recently passed away. His research interests and activities were varied, some of which included quantum physics, cognitive science and psychology, systems science, artificial intelligence, and alpinism. They were never disciplinary-separated issues, but rather some coherent dimensions of his interests in life. He lived and not only practiced interdisciplinarity and multiple dimensions; he considered it unacceptable to do only one thing in life. The contributors in this volume consider, discuss, interpret, and represent the multiplicity and interdisciplinarity experienced, lived and applied by Pessa. The chapters are inspired by, rebuild, and retrace such networked interests lived by him from the personal, cultural, and scientific points of view of the authors. This is true interdisciplinarity and usage of non-equivalences, honoring the richness of Pessa's contributions.

This book presents an integrated framework for risk measurement, capital management and value creation in banks. Moving from the measurement of the risks facing a bank, it defines criteria and rules to support a corporate policy aimed at maximizing shareholders' value.

Parts I - IV discuss different risk types (including interest rate, market, credit and operational risk) and how to assess the amount of capital they absorb by means of up-to-date, robust risk-measurement models. Part V surveys regulatory capital requirements: a special emphasis is given to the Basel II accord, discussing its economic foundations and managerial implications. Part VI presents models and techniques to calibrate the amount of economic capital at risk needed by the bank, to fine-tune its composition, to allocate it to risk-taking units, to estimate the "fair" return expected by shareholders, to monitor the value creation process. Risk Management and Shareholders' Value in Banking includes:
* Value at Risk, Monte Carlo models, Creditrisk+, Creditmetrics and much more
* formulae for risk-adjusted loan pricing and risk-adjusted performance measurement
* extensive, hands-on Excel examples are provided on the companion website www.wiley.com/go/rmsv
* a complete, up-to-date introduction to Basel II
* focus on capital allocation, Raroc, EVA, cost of capital and other value-creation metrics