Volume 12 of the "Applications of Management Science" series is directed toward the applications of management science to: Multi-Criteria Decision Making, Operations and Supply Chain Management, Productivity Management (DEA), and Financial Management. This volume will prove valuable to researchers, practitioners and students of management science and operations research. It provides an overview of some of the most essential aspects of the discipline and is an excellent point of reference for persons interested in management or management science. It focuses on four key applications of management science, and is targeted towards a wide audience of researchers, practitioners, and students.

Turbulence is not new to the business world. In fact, the turbulence is increasing and managers are seeing teams spinning their wheels. But now there is a book that addresses these realities-Problem Solving for Results. Management systems are in a state of crisis and operations are more complex. The old top-down operations mode no longer suffices. Today's businesses demand speed and increased accuracy, forcing everyone to re-evaluate chains of command and tear down the walls between functions. Amid the responsibilities of traditional management lies problem solving. The push is toward moving decision-making authority down the ladder to all levels. Managers are no longer equipped to or capable of making the number and variety of necessary decisions in a vacuum. The current mode is to have employees deal directly with workplace issues and take corrective action without complaint and without management involvement. Coping with this reality and preparation for these improvements in workplace problem solving requires interest and motivation. Problem Solving for Results can facilitate this by demystifying and simplifying the process. This book bridges philosophy and theory and puts together a practical integration of all the tools necessary to get results from your investment of time, energy, and money.

Many, if not most, of one's important decisions are made in the context of one's work. However, because workplace decisions cover such a broad range of issues, it often is difficult to detect underlying commonalities in how they are made, and in how things go wrong when they do go wrong. As a result, there are nearly as many different descriptions of workplace decisions as there are decisions themselves. In this volume, the best features of these diverse descriptions are unified in a new, intuitively compelling view of decision making called "Image Theory." The result is a clear picture of real-life, day-to-day workplace decision making that allows us to think constructively about how such decisions are made and about how to improve them when improvement is necessary.

This book examines issues related to the alignment of business strategies and analytics. Vast amounts of data are being generated, collected, stored, processed, analyzed, distributed and used at an ever-increasing rate by organizations. Simultaneously, managers must rapidly and thoroughly understand the factors driving their business. Business Analytics is an interactive process of analyzing and exploring enterprise data to find valuable insights that can be exploited for competitive advantage. However, to gain this advantage, organizations need to create a sophisticated analytical climate within which strategic decisions are made. As a result, there is a growing awareness that alignment among business strategies, business structures, and analytics are critical to effectively develop and deploy techniques to enhance an organization's decision-making capability. In the past, the relevance and usefulness of academic research in the area of alignment is often questioned by practitioners, but this book seeks to bridge this gap. Aligning Business Strategies and Analytics: Bridging Between Theory and Practice is comprised of twelve chapters, divided into three sections. The book begins by introducing business analytics and the current gap between academic training and the needs within the business community. Chapters 2 - 5 examines how the use of cognitive computing improves financial advice, how technology is accelerating the growth of the financial advising industry, explores the application of advanced analytics to various facets of the industry and provides the context for analytics in practice. Chapters 6 - 9 offers real-world examples of how project management professionals tackle big-data challenges, explores the application of agile methodologies, discusses the operational benefits that can be gained by implementing real-time, and a case study on human capital analytics. Chapters 10 - 11 reviews the opportunities and potential shortfall and highlights how new media marketing and analytics fostered new insights. Finally the book concludes with a look at how data and analytics are playing a revolutionary role in strategy development in the chemical industry.

The US Department of Commerce estimates that nearly 10% of the US's $9 trillion GDP is exposed to weather risk. All over the world providers and end users are recognizing this fact and are turning their attention to ways of protecting against or taking advantage of changes in the weather. This book explores a market that is expected to expand rapidly and is one of the fastest areas of growth in the financial arena.

Outlining the requirements for management success in the Twenty-first century, the author proposes both a senior management career path to achieving top executive responsibilities and how the CEO successfully meets his or her challenges once that apex position is achieved. Over forty years of global management experience, including more than a decade as a Chief executive officer, underscores the dynamics of this book. It is intended for the aspiring individual who currently has some management experience, the ambition and dedicated focus to be a business leader, the self-confidence to be recognized, and to be comfortable with risk taking and to exercise "out of the box" thinking in accomplishing the vision they develop for their organization. It definitely is not for the faint of heart The book covers all the dynamics of these objectives, including the importance of the family, effective time management, discipline in all of its meanings and the real relationships between the business leader, the Board of Directors, the executive team, shareholders, employees, the market, and the increasing influence of government actions and involvement. Simply put, the purpose of this book is to assist you in planning and executing your career path to advance from your current business responsibilities to those of senior executive leadership - to those of a Chief Executive Officer, Managing Director or similar level of responsibilities. Recognizing that times and business environments change, it is designed to meet the challenges of the 21st Century; challenges you will face as an executive. This book is based on the author's personal business experiences covering 40 plus years. His senior management background included that of a CEO and President of a global heavy manufacturing, engineering and construction, and systems corporation. His business, military service and academic background proved to be of considerable value during the ups and downs of personal, corporate, and family life. It also provided him the basis for steadfast standards and values, affording an ethical barrier against the increasing prevaricating, cheating, obfuscating, thievery, and fraudulent global business and government events of the last 30 years or so. Unlike the questionable ethics and opportunistic management practices so evidenced by the Enrons, WorldComs, Tyco Internationals, MCIs, AIGs and, more recently, the Madoffs, Stanfords and Rothsteins of the world; the standards underwrote the strategic soundness of "being smart rather than clever" and trust implied in such policies as "Your Word is your Bond." This book is about the value and benefits of hard work, smartly done. It is about strengthening your self-confidence, flexibility and agility, and of realizing that you'll never fully achieve your potential, but you'll always - throughout your life - be striving for that goal. You are the person who never quits. You will find the premises of this book of considerable value. It is for the individual who "wants to make a difference," and who realizes that risks always are present in striving to achieve worthwhile goals.

This book provides a comprehensive overview of recent developments in network dynamics and control with applications to supply chains, manufacturing and logistics systems. It systemizes these developments in the form of new taxonomies and methodological principles to shape the research domain of supply network dynamics control. Uniquely, the book links the fundamentals of control and system theories and artificial intelligence with supply chain and operations management. It addresses the needs of researchers and practitioners alike, revealing the challenges and opportunities of supply chain and operations management by means of dynamic system analysis.

This book investigates in detail large-scale group decision-making (LSGDM) problem, which has gradually evolved from the traditional group decision-making problem and has attracted more and more attention in the age of big data. Pursuing a holistic approach, the book establishes a fundamental framework for LSGDM with uncertain and behavioral considerations. To address the behavioral uncertainty and complexity of large groups of decision-makers, this book mainly focuses on new solutions of LSGDM problems using the interval type-2 fuzzy uncertainty theory and social network analysis techniques, including the exploration of uncertain clustering analysis, the consideration of social relationships, especially trust relationships, the construction of consensus evolution networks, etc. The book is intended for researchers and postgraduates who are interested in complex group decision-making in the new media era. Authors also investigate the similar features between LSGDM problems and group recommendations to study the applications of LSGDM methods. After reading this book, readers will have a new understanding of the LSGDM study under the real complicated context. 

This book covers a large spectrum of cutting-edge game theory applications in management science in which Professor Georges Zaccour has made significant contributions. The book consists of 21 chapters and highlights the latest treatments of game theory in various areas, including marketing, supply chains, energy and environmental management, and cyber defense. With this book, former Ph.D. students and successful research collaborators of Professor Zaccour wish to honor his many scientific achievements.

Managing environmental contamination requires decision makers to weigh eXlstmg risks against the potential effects of implementing environmental policies - considering both the benefits and disruptions that may result from different actions. The NATO Advanced Research Workshop in Lisbon was an important step in the development and application of cost efficient methods of risk assessment especiaIly within the constraints of a budget. The goal of the workshop was to evaluate the potential for risk assessment to serve as a unified and unifying technique in addressing a wide range of environmental problems. Papers presented in this book discuss issues ranging from specific and local studies (specific site, ecosystem, pollutant) to global decision and management frameworks (watersheds, regions, integration of multiple poIlutants and stressors); they develop a range of approaches starting from specific methods to widely applied public policies (Figure 1). The papers show that the use of risk assessment can provide the scientific basis for environmentaIly sound and cost-efficient policies, strategies, and solutions to our environmental chaIlenges. The organization of the Proceedings reflects sessions and discussions during the workshop. The papers in the introductory Chapter summarize the positions of Drs. Glenn Suter (EPA) and Jim Wilson (Resources for the Future) regarding whether the use of often-expensive risk assessments in developing countries can be justified, given evolving regulatory institutions and limited resources.

Soft computing techniques are innovative tools that use nature-inspired algorithms to run predictive analysis of industries from business to software measurement. These tools have gained momentum in recent years for their practicality and flexibility. The Handbook of Research on Fuzzy and Rough Set Theory in Organizational Decision Making collects both empirical and applied research in the field of fuzzy set theory, and bridges the gap between the application of soft computational approaches and the organizational decision making process. This publication is a pivotal reference for business professionals, IT specialists, software engineers, and advanced students of business and information technology.

This book describes an effective decision-making and planning architecture for enhancing the navigation capabilities of automated vehicles in the presence of non-detailed, open-source maps. The system involves dynamically obtaining road corridors from map information and utilizing a camera-based lane detection system to update and enhance the navigable space in order to address the issues of intrinsic uncertainty and low-fidelity. An efficient and human-like local planner then determines, within a probabilistic framework, a safe motion trajectory, ensuring the continuity of the path curvature and limiting longitudinal and lateral accelerations. LiDAR-based perception is then used to identify the driving scenario, and subsequently re-plan the trajectory, leading in some cases to adjustment of the high-level route to reach the given destination. The method has been validated through extensive theoretical and experimental analyses, which are reported here in detail.

Risk-Based Environmental Decision: Methods and Culture presents the principles of human health risk analysis as they are applied in environmental decisions. It balances the discussion of scientific theory and methods, philosophical analysis, and applications in regulatory decisions. The material is directed towards risk analysts who must apply their skills in a policy setting, and towards policy analysts who must use risk estimates. The presentation is suited ideally as an introductory text on the methods of risk analysis and on the cultural issues that underlie these methodologies. An important feature of Risk-Based Environmental Decision: Methods and Culture is that it is designed around a series of detailed case studies of environmental risk analysis which walk the reader from the historical nature of the problem, to the formulation as a risk-based problem, to the conduct of risk analysis, and on to the application, debate, and defense of the risk analysis.

Is there a way for people on both sides of a dispute to come out ahead? Yes, says Stuart Nagel, and he calls his method super-optimizing decision making. Instead of expecting both sides to come out ahead of their worst initial expectations, Nagel's super-optimum solutions approach (SOS) allows both to come out ahead of their "best" initial expectations, and to do so simultaneously. Nagel offers readers in all fields of the public sector, with diverse interests and experiences, a clear, well-illustrated introduction to the basic concepts and principles of super-optimized decision making. Emphasizing rule-making and broader policy controversies rather than individual cases of adjudication, and with less reliance on mathematics and statistics than other books on decision-making techniques, Nagel's approach is basically commonsensical and easily grasped. Decision makers in the public sector will find the book fascinating and of special importance in their daily activities. Private-sector executives will find that its approaches can indeed be adapted to their own special concerns.

Uncover repeatable processes and timeless fundamentals that can be tailored to any situation with this inspiring guidebook that encourages individual and organizational innovation.

With the challenges of cultural constraints and variable conditions, there is no exact blueprint to drive innovation. Even so, there are ways to make it more possible. Regardless of your situation, the basic "what" and "how" of innovation has not changed.

Get advice from innovators in a variety of fields who provide the substance you need to build a solid innovation program. These practical messages deliver guidance to help you become a better innovator yourself and to create the team dynamics to boost organizational performance.

Writers of innovation essays include Eric Garvin, Global Hawk manager at Northrop Grumman Corporation; Paul Byron Pattak, political and business strategist; Chris Haddock, head football coach at Centreville High School in Centreville, Virginia; and many more

Become a pragmatic visionary who not only sees where an organization needs to go but who knows how to inspire people to achieve goals. Get a foundation of solid skills to start Hitting the Innovation Jackpot.

This book shifts the debate on knowledge transfers within multinational corporations (MNCs) back to its core: How can we increase the effectiveness of cross-border transfers of knowledge? Several perspectives on international knowledge flows, from control issues to cultural barriers, are integrated into a comprehensive framework. Based on a sample of leading MNCs, empirical results show which managerial mechanisms have to be implemented to increase the benefit from knowledge transfers in headquarters and subsidiaries.

Recently knowledge management and management learning has received considerable published coverage; however, most of this exposure is based on a rational, mechanistic view of knowledge management. Practice, on the other hand, has taught us that knowledge management and learning are extremely broad concepts with an expanding area of subfields. This rationalized and measured view of knowledge management has lead to a more technologically driven development of the field. In practice, however, this view of knowledge management has fallen short of its promise. This situation has created the need for a more encompassing approach to knowledge management. An approach that will encompass a wider domain of knowledge management topics; including topics such as, workplace learning, knowledge infrastructure, knowledge representation, innovation and learning, knowledge culture and learning, and knowledge technologies.

KNOWLEDGE MANAGEMENT AND MANAGEMENT LEARNING: Extending the Horizons of Knowledge-Based Management examines a range of topical considerations in the field by utilizing dynamic and non-linear systems behavior or the complexity paradigm. From this examination have come a number of new and promising relevant extensions to knowledge management and its practice. Many of the topics have been pulled from "real world" situations in actual companies, and therefore these topical treatments reflect quantitative and qualitative research done within the knowledge management framework of actual company experience. Offered are a series of topical treatments that extend the parameters of knowledge management and examine the practical implications of these extensions.

The book begins with anextended introduction and theoretical framework. Contributing authors have written chapters that add to both the framework and the practical consequences of knowledge management. These chapters suggest many lessons learned that will find considerable use in practice. Some of these chapters include an investigation of the "doa (TM)s and dona (TM)ts" virtual learning based on real-life cases, the use of design teams for group learning, the role of language and the creation of common ground between company and client, culture as a dynamic and non-linear constructed concept, innovation and knowledge management and more. The book offers an exceptional range of contributions within a developing paradigm. Within this context, the book illustrates why and how of knowledge management is important for companies.

This book explores clustering operations in the context of social networks and consensus-reaching paths that take into account non-cooperative behaviors. This book focuses on the two key issues in large-scale group decision-making: clustering and consensus building. Clustering aims to reduce the dimension of a large group. Consensus reaching requires that the divergent individual opinions of the decision makers converge to the group opinion. This book emphasizes the similarity of opinions and social relationships as important measurement attributes of clustering, which makes it different from traditional clustering methods with single attribute to divide the original large group without requiring a combination of the above two attributes. The proposed consensus models focus on the treatment of non-cooperative behaviors in the consensus-reaching process and explores the influence of trust loss on the consensus-reaching process.The logic behind is as follows: firstly, a clustering algorithm is adopted to reduce the dimension of decision-makers, and then, based on the clusters' opinions obtained, a consensus-reaching process is carried out to obtain a decision result acceptable to the majority of decision-makers. Graduates and researchers in the fields of management science, computer science, information management, engineering technology, etc., who are interested in large-scale group decision-making and consensus building are potential audience of this book. It helps readers to have a deeper and more comprehensive understanding of clustering analysis and consensus building in large-scale group decision-making.

This highly practical book explains how executive teams in global companies can work together to successfully drive change, enable fast growth or restructure the business. It demonstrates a clear correlation between team development and business results and even deals with special issues for teams in the not-for-profit sector and emerging markets.

The decision-making process has become a challenge in modern organizations due to increased access to information and large data sets. When considering single-criteria problems, the decision making process is extremely intuitive. On the other hand, multi-criteria decision making, which involves several factors, requires further consideration and more sophisticated methods. Fuzzy Optimization and Multi-Criteria Decision Making in Digital Marketing applies fuzzy theory and multi-criteria decision making principles for better practice in the digital business environment. Presenting timely research and case studies on practical implementation of such theories in the digital marketplace, this publication is designed for use by business professionals, executives, graduate-level students, and researchers. This research-focused publication features discussions on several key concepts useful for modern business professionals including decision-making models and fuzzy theory applied to internet marketing, consumer behavior, and the optimization of strategic marketing plans.

Enterprise Modeling has been defined as the art of externalizing enterprise knowledge, i.e., representing the core knowledge of the enterprise. Although useful in product design and systems development, for modeling and model-based approaches to have a more profound effect, a shift in modeling approaches and methodologies is necessary. Modeling should become as natural as drawing, sketching and scribbling, and should provide powerful services for capturing work-centric, work-supporting and generative knowledge, for preserving context and ensuring reuse. A solution is the application of Active Knowledge Modeling (AKM).

The AKM technology is about discovering, externalizing, expressing, representing, sharing, exploring, configuring, activating, growing and managing enterprise knowledge. An AKM solution is about exploiting the Web as a knowledge engineering medium, and developing knowledge-model-based families of platforms, model-configured workplaces and services.

This book was written by the inventors of AKM arising out of their cooperation with both scientists and industrial practitioners over a long period of time, and the authors give examples, directions, methods and services to enable new ways of working, exploiting the AKM approach to enable effective c-business, enterprise design and development, and lifecycle management. Industry managers and design engineers will become aware of the manifold possibilities of, and added values in, IT-supported distributed design processes, and researchers for collaborative design environments will find lots of stimulation and many examples for future developments.