Architects and engineers can build models to test their ideas - why not managers? In Game Theory in Management: Modelling Business Decisions and Their Consequences, author Michael Hatfield presents a series of mathematically structured analogies to real-life business and economic interaction scenarios, and then, using modern game theory, he shows how to test common managerial technical approaches for their effectiveness. His results are astonishing: if game theory is correct then many commonly-held and taught management approaches and techniques are not only less effective than thought, they are actually detrimental in many areas where they are held to be beneficial. Game Theory in Management also examines managerial implications from network theory, cartage schemes, risk management theory, management information system epistemology, and other areas where the quantification and testing of business decisions can be employed to identify winning and losing stratagems.

The focus of this book is on establishing theories and methods of both decision and game analysis in management using intuitionistic fuzzy sets. It proposes a series of innovative theories, models and methods such as the representation theorem and extension principle of intuitionistic fuzzy sets, ranking methods of intuitionistic fuzzy numbers, non-linear and linear programming methods for intuitionistic fuzzy multi-attribute decision making and (interval-valued) intuitionistic fuzzy matrix games. These theories and methods form the theory system of intuitionistic fuzzy decision making and games, which is not only remarkably different from those of the traditional, Bayes and/or fuzzy decision theory but can also provide an effective and efficient tool for solving complex management problems. Since there is a certain degree of inherent hesitancy in real-life management, which cannot always be described by the traditional mathematical methods and/or fuzzy set theory, this book offers an effective approach to using the intuitionistic fuzzy set expressed with membership and non-membership functions. This book is addressed to all those involved in theoretical research and practical applications from a variety of fields/disciplines: decision science, game theory, management science, fuzzy sets, operational research, applied mathematics, systems engineering, industrial engineering, economics, etc.

Economic players must often choose between several strategic options in a fierce competitive environment where interactions with competitors make decisions particularly complex. Game theory offers useful insights to choose an optimal decision or at least a basis for making rational decision given the constraints of the stakeholders' environment. In presenting the concepts and the logical structure of the reasoning offered by game theory and their applications, the book explains the rational process of decision making in the framework of firm management and market competition. By avoiding the usual complexity of presentation often due to mathematical formalism, the book proposes a reflection and practical insights of game theory for practitioners (managers, strategists) and social, managerial and economic researchers. The book will expose both general teachings and a comprehensive analysis applied to specific case studies of various sectors of the economy.

International business is undergoing continuous transformation as multinational firms and comparative management evolve in the changing global economy. To succeed in this challenging environment, firms need a well-developed capability for sound strategic decisions. This comprehensive work provides an applied and integrated strategic framework for developing capabilities that lead to global success. It is designed to help readers achieve three essential objectives. First, it provides intellectual and practical guidelines for readers to execute goals and strategies that lead to meaningful and productive results. The book is packed with frameworks, cases, anchoring exercises, techniques, and tools to help readers emerge with a completed business plan after the last chapter. Second, it focuses on strategy and how firms build competitive presence and advantages in a global context. A primary learning objective is to enable readers to understand and evaluate the major issues in strategy formulation and implementation in a global context. Third, it provides an accessible framework that will help guide readers in making strategic decisions that are sound and effective. It offers a unifying process that delineates the necessary steps in analyzing the readiness of a firm to do business abroad. In addition to core issues, each chapter presents frameworks, analytical tools, action-oriented items, and a real-world case - all designed to provide insights on the challenges imposed by globalization and technology on managers operating in a global context.

Kim Warren presents a complete framework in the field of Strategic Management. The book combines theory with clearly illustrated examples to examine the concept of financial performance and the tools that can be used to improve it.

Due to its societal and economic relevance, Project Management (PM) has become an important discipline and a concept critical to modern organizations, public and private. PM as an academic discipline is discussed both in Management Science and in Operations Research. Management Science tends to focus on quantitative tools and the soft skills necessary to manage projects successfully. Operations Research gives the essential scientific contribution to the success of project management through the development of models and algorithms. In Management Science, Operations Research and Project Management, José Ramón San Cristóbal Mateo fills the gap between scientific research and the practical application of that research. Project managers need formal training in decision-making but sometimes, they do not have an in-depth knowledge of Operations Research or they lack the necessary theoretical background. This book, with its focus on the quantitative models of Operations Research and Management Science applied to Project Management, provides project managers with the tools and methods necessary to manage projects successfully. Project managers operate in a complex global environment, in which numerous factors need to be considered, such as minimizing total project costs, meeting contracted dates, and ensuring that activities achieve certain quality levels. The focus here on the application of quantitative models of Operations Research and Management Science applied to Project Management provides them with the tools and methods necessary to make sound decisions.

IIE/Joint Publishers Book of the Year Award 2016! Awarded for ‘an outstanding published book that focuses on a facet of industrial engineering, improves education, or furthers the profession’. Engineering Decision Making and Risk Management emphasizes practical issues and examples of decision making with applications in engineering design and management Featuring a blend of theoretical and analytical aspects, this book presents multiple perspectives on decision making to better understand and improve risk management processes and decision-making systems. Engineering Decision Making and Risk Management uniquely presents and discusses three perspectives on decision making: problem solving, the decision-making process, and decision-making systems. The author highlights formal techniques for group decision making and game theory and includes numerical examples to compare and contrast different quantitative techniques. The importance of initially selecting the most appropriate decision-making process is emphasized through practical examples and applications that illustrate a variety of useful processes. Presenting an approach for modeling and improving decision-making systems, Engineering Decision Making and Risk Management also features: Theoretically sound and practical tools for decision making under uncertainty, multi-criteria decision making, group decision making, the value of information, and risk management Practical examples from both historical and current events that illustrate both good and bad decision making and risk management processes End-of-chapter exercises for readers to apply specific learning objectives and practice relevant skills A supplementary website with instructional support material, including worked solutions to the exercises, lesson plans, in-class activities, slides, and spreadsheets An excellent textbook for upper-undergraduate and graduate students, Engineering Decision Making and Risk Management is appropriate for courses on decision analysis, decision making, and risk management within the fields of engineering design, operations research, business and management science, and industrial and systems engineering. The book is also an ideal reference for academics and practitioners in business and management science, operations research, engineering design, systems engineering, applied mathematics, and statistics.

This book comprehensively covers the principles of Risk-based vulnerability management (RBVM) – one of the most challenging tasks in cybersecurity -- from the foundational mathematical models to building your own decision engine to identify, mitigate, and eventually forecast the vulnerabilities that pose the greatest threat to your organization. You will learn: how to structure data pipelines in security and derive and measure value from them; where to procure open-source data to better your organization’s pipeline and how to structure it; how to build a predictive model using vulnerability data; how to measure the return on investment a model in security can yield; which organizational structures and policies work best, and how to use data science to detect when they are not working in security; and ways to manage organizational change around data science implementation. You’ll also be shown real-world examples of how to mature an RBVM program and will understand how to prioritize remediation efforts based on which vulnerabilities pose the greatest risk to your organization. The book presents a fresh approach, rooted in risk management, and taking advantage of rich data and machine learning, helping you focus more on what matters and ultimately make your organization more secure with a system commensurate to the scale of the threat. This is a timely and much-needed book for security managers and practitioners who need to evaluate their organizations and plan future projects and change. Students of cybersecurity will also find this a valuable introduction on how to use their skills in the enterprise workplace to drive change.

processes; (3) ensure the integrity of ecosys- The theory and practice of ecosystem manage- tems; and (4) advocate the sustainable use of ment is pivotal to the debate over how to sustain the health and productivity of our envi- natural resources. In this book, each of these ronment. In particular, the role of ecosystems four topics is addressed by a set of eight key in preserving biological diversity, their contri- journal articles. The first article in each section bution to economic growth, and their influence provides an overview, followed by case histo- ries and a concluding paper which is a commen- on human well-being is highly controversial tary on the difficulty of the issue or assesses its (Lubchenco et al. 1991). Traditional resource management does not protect natural values future direction. An article by Risser provides a (Sax 1993) or provide for the sustainable pro- closing synthesis to this collection. duction of goods and services (Barnes 1993). The authors of the articles in Part 1-Under- Yet a number of researchers and managers stand Diversity - speak to the current problems further question the ability of science to pro- and directions in the conservation of biological vide sufficiently powerful tools for the under- diversity. Tilman and Downing argue that standing and implementation of ecosystem preservation of native biodiversity is essential management (Clark 1996).

Collective monograph