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.

How "Aha!" really happens. When do you get your best ideas? You probably answer "At night," or "In the shower," or "Stuck in traffic." You get a flash of insight. Things come together in your mind. You connect the dots. You say to yourself, "Aha! I see what to do." Brain science now reveals how these flashes of insight happen. It's a special form of intuition. We call it strategic intuition, because it gives you an idea for action-a strategy. Brain science tells us there are three kinds of intuition: ordinary, expert, and strategic. Ordinary intuition is just a feeling, a gut instinct. Expert intuition is snap judgments, when you instantly recognize something familiar, the way a tennis pro knows where the ball will go from the arc and speed of the opponent's racket. (Malcolm Gladwell wrote about this kind of intuition in Blink.) The third kind, strategic intuition, is not a vague feeling, like ordinary intuition. Strategic intuition is a clear thought. And it's not fast, like expert intuition. It's slow. That flash of insight you had last night might solve a problem that's been on your mind for a month. And it doesn't happen in familiar situations, like a tennis match. Strategic intuition works in new situations. That's when you need it most. Everyone knows you need creative thinking, or entrepreneurial thinking, or innovative thinking, or strategic thinking to succeed in the modern world. All these kinds of thinking happen through flashes of insight--strategic intuition. And now that we know how it works, you can learn to do it better. That's what this book is about. Over the past ten years, William Duggan has conducted pioneering research on strategic intuition and for the past three years has taught a popular course at Columbia Business School on the subject. He now gives us this eye-opening book that shows how strategic intuition lies at the heart of great achievements throughout human history: the scientific and computer revolutions, women's suffrage, the civil rights movement, modern art, microfinance in poor countries, and more. Considering the achievements of people and organizations, from Bill Gates to Google, Copernicus to Martin Luther King, Picasso to Patton, you'll never think the same way about strategy again. Three kinds of strategic ideas apply to human achievement: * Strategic analysis, where you study the situation you face * Strategic intuition, where you get a creative idea for what to do * Strategic planning, where you work out the details of how to do it. There is no shortage of books about strategic analysis and strategic planning. This new book by William Duggan is the first full treatment of strategic intuition. It's the missing piece of the strategy puzzle that makes essential reading for anyone interested in achieving more in any field of human endeavor.

This book aims to provide relevant theoretical frameworks and the latest empirical research findings in Internet of Things (IoT) in Management Science and Operations Research. It starts with basic concept and present cases, applications, theory, and potential future. The contributed chapters to the book cover wide array of topics as space permits. Examples are from smart industry; city; transportation; home and smart devices. They present future applications, trends, and potential future of this new discipline. Specifically, this book provides an interface between the main disciplines of engineering/technology and the organizational, administrative, and planning capabilities of managing IoT. This book deals with the implementation of latest IoT research findings in practice at the global economy level, at networks and organizations, at teams and work groups and, finally, IoT at the level of players in the networked environments. This book is intended for professionals in the field of engineering, information science, mathematics, economics, and researchers who wish to develop new skills in IoT, or who employ the IoT discipline as part of their work. It will improve their understanding of the strategic role of IoT at various levels of the information and knowledge organization. The book is complemented by a second volume of the same editors with practical cases.

The future may still be unpredictable, but nowadays, disasters are not. We live in a time of constant, consistent catastrophe, where things more often go wrong than they go right. So why do we still fumble when disaster hits? Why are we always one step behind? In The Devil Never Sleeps, Juliette Kayyem lays the groundwork for a new approach to dealing with disasters. Presenting the basic themes of crisis management, Kayyem amends the principles we rely on far too easily. Instead, she offers us a new framework to anticipate the "devil's" inevitable return, highlighting the leadership deficiencies we need to overcome and the forward thinking we need to harness. It's no longer about preventing a disaster from occurring, but learning how to use the tools at our disposal to minimize the consequences when it does. Filled with personal anecdotes and real-life examples from natural disasters like the California wildfires to man-made ones like the Boeing 737 MAX crisis, The Devil Never Sleeps is a guide for governments, businesses, and individuals alike on how to alter our thinking so that we can develop effective strategies in the face of perpetual catastrophe.

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

This book addresses new concepts, methods, algorithms, modeling, and applications of green supply chain, inventory control problems, assignment problems, transportation problem, linear problems and new information related to optimization for the topic from the theoretical and applied viewpoints of neutrosophic sets and logic. The book is an innovatory of new tools and procedures, such as: Neutrosophic Statistical Tests and Dependent State Samplings, Neutrosophic Probabilistic Expert Systems, Neutrosophic HyperSoft Set, Quadripartitioned Neutrosophic Cross-Entropy, Octagonal and Spherical and Cubic Neutrosophic Numbers used in machine learning. It highlights the process of neutrosofication {which means to split the universe into three parts, two opposite ones (Truth and Falsehood), and an Indeterminate or neutral one (I) in between them}. It explains Three-Ways Decision, how the universe set is split into three different distinct areas, in regard to the decision process, representing: Acceptance, Noncommitment, and Rejection, respectively. The Three-Way Decision is used in the Neutrosophic Linguistic Rough Set, which has never been done before.

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.

From columnist and bestselling author Suzy Welch comes a powerful, proven strategy for clarifying life choices.
We all want to lead a life of our own choosing. But in today's accelerated world of competing priorities, confounding options, and information overload, we can find ourselves steered by impulse, stress, or expedience. Are our decisions the right ones? Or are we being governed, time and again, and against our best intentions, by the demands of the moment? With "10-10-10, "Welch proposes a transformative solution to this pressure, helping us tease apart our deepest goals and values, candidly face our fears and dreams, and rid ourselves of frustration and regret. "10-10-10 "has shown its effectiveness in decisions large and small, routine and radical, getting us out of neutral at home, in love, and at work. Across the board, this immensely useful and revelatory idea provides us with the tools to regain control of our choices--and ultimately reclaim our lives.

Action Learning - Activity Based Costing - Adhocracy - Agility - Balanced Scorecard - Benchmarking - Boston Matrix - Broadbanding - Channel Management - Core Competencies - Core Values - Crisis Management - Customer Relationship Management - Decision Theory - Discounted Cash Flow - Downsizing - E-commerce - Emotional Intelligence - Employability Empowerment - Four Ps of Marketing - Game Theory - Intellectual Capital Interim Management - Just-in-Time - Kaizen - Kepener-Tregoe - Knowledge Management - Leadership Theory - Lean Production - Learning Organization - Managerial Grid - Maslow's Hierarchy of Needs - Matrix Model Outsourcing - Porter's Five Forces - Psychological Contract Re-engineering - Relationship Marketing - Ringi - Scenario Planning - Scientific Management - Seven S Framework - Shamrock Organization - Shareholder Value - Strategic Inflection Points - Strategic Management Succession Planning - Supply Chain Management - Theories X Y (& Z) Thought Leadership - 60 Degree Feedback - TQM - Transnational Corporation - Value Innovation - Virtual Organization

This book combines two distinctive topics: data science/image analysis and materials science. The purpose of this book is to show what type of nano material problems can be better solved by which set of data science methods. The majority of material science research is thus far carried out by domain-specific experts in material engineering, chemistry/chemical engineering, and mechanical & aerospace engineering. The book could benefit materials scientists and manufacturing engineers who were not exposed to systematic data science training while in schools, or data scientists in computer science or statistics disciplines who want to work on material image problems or contribute to materials discovery and optimization. This book provides in-depth discussions of how data science and operations research methods can help and improve nano image analysis, automating the otherwise manual and time-consuming operations for material engineering and enhancing decision making for nano material exploration. A broad set of data science methods are covered, including the representations of images, shape analysis, image pattern analysis, and analysis of streaming images, change points detection, graphical methods, and real-time dynamic modeling and object tracking. The data science methods are described in the context of nano image applications, with specific material science case studies.

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.

This book is the result of a four-year study into the most commonly used management tools and techniques in the areas of business strategy and finance, marketing, production and operations, and procurement and supply chain management. It explains which tools are used in small, medium-sized and large companies, whether based in the US, Europe or Asia, across many different industrial and service sectors. It explains where companies find out about particular tools, and examines which appear to be the most successful.

Provides the reader with a perspective on the efficient operation of complicated systems.
* Spreadsheets are used to employ and teach techniques.
* Includes the facets of probability that relate to decision making.

Global Information Technology Outsourcing In Search of Business Advantage Mary C. Lacity & Leslie P. Willcocks ‘Lacity, and Willcocks have shown us again why they are the world’s leading IT outsourcing gurus… the most comprehensive work on IT outsourcing to date.’ Sara Cullen, National Partner, Australia Business Process Management, Deloitte Touche, Tohmatsu ‘a valuable collection… readers will find here advice that premier consultants would deliver for a very large multiple of the price of this book.’ Paul A. Strassmann, former CIO of General Foods, Kraft, Xerox and the US Department of Defense ‘(a). "must read" for anyone in search of a clear understanding of what information technology outsourcing is all about… absolutely no one should jump into outsourcing prior to taking advantage of the outstanding case studies outlined in this book.’ Emmett Paige, President, OAO Corporation ‘an excellent guide to successful outsourcing, the best I have read on the topic. It should be mandatory reading for any senior executive.’ Gail Burke, Executive Director & CIO, Macquarie Bank, Australia ‘crisp and concise. The studies selected for detailed presentation are excellent and the analysis… rings with credibility.’ Rob Westcott, Vice President and CIO, General Motors Acceptance Corporation International Operations, UK ‘Lacity and Willcocks have… unrivalled access to outsourcing deals across the globe… their new book… is a powerful synthesis of their learning (and) their chapter on risk management is a groundbreaking contribution. A vitally important business guide.’ Richard Sykes, Chairman Morgan Chambers plc. - Europe’s largest independent consultancy in IT services & business process sourcing ‘Lacity and Willcocks tell it like it is and pull no punches… A must read for any organization contemplating outsourcing or trying to fix a broken outsourcing relationship… Planning for outsourcing, negotiating the deal, making the relationship work — it’s all here.’ Bob Young, Executive Director, South Australian Government Account, EDS (Electronic Data Systems) ‘For those of us with a deep knowledge and experience of outsourcing, this book is required reading. For those who are just starting out on the journey, it is essential reading.’ Robert White, CEO, Lucidus Management Technologies

This book covers sustainable development in smart society's 5.0 using data analytics. The data analytics is the approach of integrating diversified heterogeneous data for predictive analysis to accredit innovation, decision making, business analysis, and strategic decision making. The data science brings together the research in the field of data analytics, online information analytics, and big data analytics to synthesize issues, challenges, and opportunities across smart society 5.0. Accordingly, the book offers an interesting and insightful read for researchers in the areas of decision analytics, cognitive analytics, big data analytics, visual analytics, text analytics, spatial analytics, risk analytics, graph analytics, predictive analytics, and analytics-enabled applications.

This book provides an insight into the black-box of leadership learning that acts as a companion to guide leadership development. It has been written to enable the reader to reflect on their own experience and critique this against four case profiles of leadership learning: the public and private sectors; women managers; and owner-managers.

Should I change careers? Is it time to end my relationship? Can I move halfway across the world? We have to make choices everyday, big and small, but it's the life-changing ones that often cause us to freeze or react too quickly, without thinking. What can we do differently? Laurence Alison and Neil Shortland have spent over 20 years helping soldiers, police officers, doctors and other professionals in high-stakes environments make tough decisions when lives are on the line. In Decision Time, they show us how those same decision-making techniques apply to everyday life, whether that's deciding to take a new job or change career later in life, end a relationship, move across the world or declaring your undying love for your best friend. With tips, studies, interviews and observations from their training with police officers together with role-play scenarios for you to try, this book will help you identify and fight off the common enemies of good decision-making - inertia, procrastination and indecision - and empower you to make the choices that matter the most. Highly accessible and interactive, Decision Time will guide you through each step of the decision-making process so next time you a find yourself at the crossroads, you'll be able to make your way with confidence.

Strategy is an essential part of business, but strategizing often gets ignored or left behind. In this exciting new work, Eric J. Bolland introduces strategizing as a key component of strategy development and execution, showing strategizing as a way to aid organizations with their futures. To strategize successfully, businesses need a set of well-developed tools to help them perform specific actions continuously. Starting by tracing the origin and evolution of strategy and strategic planning, this exciting new guide puts forward advice on how to put strategy research into strategizing practice. In detailed chapters, Bolland addresses how strategizing works, with twenty real-world cases to show how theory can become reality, citing art, history, literature, science, psychology and philosophy to explore the human impulse to strategize. A valuable accompaniment for business students of strategy, as well as a practical handbook for staff and mid- and upper-level managers, this book is an essential read for anyone seeking guidance about planning the futures of their organizations.

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.

Health threats pose significant dangers to humankind and form a major source of human suffering and sorrow. Responsible leadership and reasoned decision making can significantly improve the arenas that are affected by health threats, through establishing a better allocation of very scarce resources for building health capabilities and for increasing health preparedness, responsiveness and resilience. This book examines how public health leaders can use the cutting-edge research from Decision Sciences to better manage emerging and re-emerging health threats, with a focus on enhancing health security. While these decisions must be informed by the best available evidence, they must also address competing priorities and key uncertainties and must mitigate critical risks, albeit in a cost-effective manner which seeks to maximize societal value. This is a book about how decisions on health security can be improved, both in terms of the content that is utilized in a health decision analysis and the decision processes that are employed in reaching a decision. This decision-focused perspective can help public health leaders and public health experts to increase the health preparedness of health systems, the task of which involves improving health capabilities, increasing the robustness of health systems against health threats, as well as strengthening health resilience and the responsiveness of these systems against disease outbreaks.

This book presents different techniques and methodologies that used to help improve the decision-making process and increase the likelihood of success in sector as follows: agriculture, financial services, logistics, energy services, health and others. This book collects and consolidates innovative and high-quality research contributions regarding the implementation techniques and methodologies applied in different industrial sectors. The scope is to disseminate current trends knowledge in the implementation of artificial intelligence techniques and methodologies in different fields as follows: supply chain, business intelligence, e-commerce, social media and others. The book contents are useful for Ph.D., Ph.D. students, master and undergraduate students, and professional and students in industrial engineering, computer science, information systems, data analytics and others.

This book covers several new areas in the growing field of analytics with some innovative applications in different business contexts, and consists of selected presentations at the 6th IIMA International Conference on Advanced Data Analysis, Business Analytics and Intelligence. The book is conceptually divided in seven parts. The first part gives expository briefs on some topics of current academic and practitioner interests, such as data streams, binary prediction and reliability shock models. In the second part, the contributions look at artificial intelligence applications with chapters related to explainable AI, personalized search and recommendation, and customer retention management. The third part deals with credit risk analytics, with chapters on optimization of credit limits and mitigation of agricultural lending risks. In its fourth part, the book explores analytics and data mining in the retail context. In the fifth part, the book presents some applications of analytics to operations management. This part has chapters related to improvement of furnace operations, forecasting food indices and analytics for improving student learning outcomes. The sixth part has contributions related to adaptive designs in clinical trials, stochastic comparisons of systems with heterogeneous components and stacking of models. The seventh and final part contains chapters related to finance and economics topics, such as role of infrastructure and taxation on economic growth of countries and connectedness of markets with heterogenous agents, The different themes ensure that the book would be of great value to practitioners, post-graduate students, research scholars and faculty teaching advanced business analytics courses.

This book considers and assesses essential financial issues by utilizing data science and fuzzy multiple criteria decision making (MCDM) methods. It introduces readers to a range of data science methods, and demonstrates their application in the fields of business, health, economics, finance and engineering. In addition, it provides suggestions based on the assessment results on each topic, which can help to enhance the efficiency of the financial system and the sustainability of economic development. Given its scope, the book will help readers broaden their perspective on the assessment and evaluation of financial issues using data science and MCDM approaches.

This book presents a collection of essays written by leading researchers to honor Roman Slowinski's major scholarly interests and contributions. He is well-known for conducting extensive research on methodologies and techniques for intelligent decision support, where he combines operational research and artificial intelligence. The book reconstructs his main contributions, presents cutting-edge research and provides an outlook on the most promising and advanced domains of computer science and multiple criteria decision aiding. The respective chapters cover a wide range of related research areas, including decision sciences, ordinal data mining, preference learning and multiple criteria decision aiding, modeling of uncertainty and imprecision in decision problems, rough set theory, fuzzy set theory, multi-objective optimization, project scheduling and decision support applications. As such, the book will appeal to researchers and scholars in related fields.