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Books > Business & Economics > Business & management > Management & management techniques > Management decision making > General
The safe and continued functioning of critical infrastructures-such as electricity, natural gas, transportation, and water-is a social imperative. Yet the complex connections between these systems render them increasingly precarious. Furthermore, though we depend so heavily on interconnected infrastructures, we do not fully understand the risks involved in their failure. Emery Roe and Paul R. Schulman argue that designs, policies, and laws often overlook the knowledge and experiences of those who manage these systems on the ground-reliability professionals who have vital insights that would be invaluable to planning. To combat this major blind spot, the athors construct a new theoretical perspective that reveals how to make sense of complex interconnected networks and improve reliability through management, regulation, and political leadership. To illustrate their approach in action, they present a multi-year case study of one of the world's most important "infrastructure crossroads," the San Francisco Bay-Delta. Reliability and Risk advances our understanding of what it takes to ensure the dependability of the intricate-and sometimes hazardous-systems on which we rely every day.
On the basis of fuzzy sets and some of their relevant generalizations, this book systematically presents the fundamental principles and applications of group decision making under different scenarios of preference relations. By using intuitionistic knowledge as the field of discourse, this work investigates by utilizing innovative research means the fundamental principles and methods of group decision making with various different intuitionistic preferences: Mathematical reasoning is employed to study the consistency of group decision making; Methods of fusing information are applied to look at the aggregation of multiple preferences; Techniques of soft computing and optimization are utilized to search for satisfactory decision alternatives. Each chapter follows the following structurally clear format of presentation: literature review, development of basic theory, verification and reasoning of principles , construction of models and computational schemes, and numerical examples, which cover such areas as technology, enterprise competitiveness, selection of airlines, experts decision making in weather-sensitive enterprises, etc. In terms of theoretical principles, this book can be used as a reference for researchers in the areas of management science, information science, systems engineering, operations research, and other relevant fields. It can also be employed as textbook for upper level undergraduate students and graduate students. In terms of applications, this book will be a good companion for all those decision makers in government, business, and technology areas.
The scale and complexity of research and practices of open innovation mandate a correspondingly sophisticated form of decision making. Strategic Planning Decisions brings together a number of tools that ease the decision process in technology companies, providing both conceptual frameworks and practical applications. Innovative approaches are presented such as an ontology-based model where all the relevant aspects of a potential technology are interrelated to provide a comprehensive and logically connected data pool for decision makers. Divided into two sections, Strategic Planning Decisions describe both strategic approaches using the decision tools, and tactical approaches. Some of these tools are expanded while some others are embedded in a model that will lay the ground for practical application. These include: bibliometric analysis, ontology, roadmapping, lead user, six sigma, and multi-actor & multi-objective decision making methods Recent research and relevant theory are balanced with up-to-date practical applications and hands-on techniques making Strategic Planning Decisions ideal for engineers who wish to keep up-to-date with current ideas in the field of TM. It also provides workable methods for practising managers from all levels who wish to apply a more rigorous approach in their work and consultants concerned with technology assessment and its management.
Future Trends: A Guide to Decision Making and Leadership in Business is the first and only book to link a decision-making and leadership platform to trends pointing to the future. By identifying sixty global, long-term trends and detailing how businesspeople can leverage them in both the short- and long-term, the book provides readers with a powerful body of knowledge unavailable anywhere else. In Future Trends, consultant and futurist Larry Samuel: *Identifies sixty significant and opportunistic global, long-term trends; *Details how businesspeople can leverage each trend in both the short- and long-term via a decision-making and leadership platform; *Helps readers be recognized as a trusted source and "go-to" person in their respective field by becoming more fluent in the future; *Takes a 360-degree, holistic view of tomorrow by examining cultural, economic, political, social, scientific, and technological trends; *Steers clear from here-today-gone-tomorrow things and experiences that comprise most glimpses into the emerging cultural landscape Future Trends is divided into six sections covering Cultural Trends, Economic Trends, Political Trends, Social Trends, Scientific Trends, and Technological Trends. Each section includes ten trends that indicate where the world is heading. Many futurists focus on technology, forgetting the fact that the ways in which people actually live their lives are shaped by many other factors. Future Trends thus takes a 360-degree, holistic view of tomorrow, offering readers a fuller understanding of life on Earth over the next couple of decades.
Eyes Wide Open: How to Make Smart Decisions in a Confusing World is Noreen Hertz's practical, cutting-edge guide to help you cut through the data deluge and make smarter and better choices, based on her highly popular TED talk. In this eye-opening handbook, the internationally noted speaker, economics expert, and bestselling author of IOU: The Debt Threat and Silent Takeover reveals the extent to which the biggest decisions in our lives are often made on the basis of flawed information, weak assumptions, corrupted data, insufficient scrutiny of others, and a lack of self-knowledge. To avert such disasters, Hertz persuasively argues, we need to become empowered decision-makers, capable of making high-stakes choices and holding accountable those who advise us. In Eyes Wide Open, she weaves together scientific research with real-world examples from Hollywood to Harry Potter, NASA to World War Two spies, to construct a path to more astute and empowered decision-making in ten clear steps. With a razor-sharp intellect and an instinct for popular storytelling, she offers counter-intuitive, actionable guidance for making better choices--whether you are a business-person, a professional, a patient, or a parent.
IDEO founder and Stanford d.school creator David Kelley and his
brother Tom Kelley, IDEO partner and the author of the bestselling
"The Art of Innovation," have written a powerful and compelling
book on unleashing the creativity that lies within each and every
one of us.
Every business should introduce new technologies to improve their performance? The only way to innovate is to think outside of the box? And obviously, having a Chief Strategy Officer is a guarantee of success. Really? The reality is that there are no magic recipes for success. If there were, every company would use them, and no single company would be outstanding. Business strategy is messy, requires hard graft and is difficult to get right. And yet the world of strategy is dominated by management consultants and business gurus making sweeping generalizations, oversimplifying business thinking and peddling their own unfounded ideas. But do these methods actually work? Myths of Strategy debunks thirty of these most common strategy sagas, cutting through consultant hyperbole and provide you with tried and test business ideas that will make your company more successful. About the Business Myths series... The Business Myths series tackles the falsehoods that pervade the business world. From leadership and management to social media, strategy and the workplace, these accessible books overturn out-of-date assumptions, skewer stereotypes and put oft-repeated slogans to the test. Entertaining and rigorously researched, these books will equip you with the insight and no-nonsense wisdom you need to succeed.
The study of complex systems attracts the attention of many researchers in diverse fields. Complex systems are characterized by a high number of entities and a high degree of interactions. One of the most important features is that they do not involve a central organizing authority, but the various elements that make up the systems are self-organized. Moreover, some complex systems possess an emergency priority: climate change and sustainable development research, studies of public health, ecosystem habitats, epidemiology, and medicine, among others. Unfortunately, a great number of today's overlapping approaches fail to meet the needs of decision makers when managing complex domains. Indeed, the design of complex systems often requires the integration of a number of artificial intelligence tools and techniques. The problem can be viewed in terms of goals, states, and actions, choosing the best action to move the system toward its desired state or behavior. This is why agent-based approaches are used to model complex systems. The main objective of this book is to bring together existing methods for decision support systems creation within a coherent agent-based framework and to provide an interdisciplinary and flexible methodology for modeling complex and systemic domains.
This book presents recent advancements of research, new methods and techniques, applications and projects in decision making and decision support systems. It explores expert systems and neural networks, knowledge engineering and management, fuzzy sets and systems and computational methods for optimization, data analysis and decision making. It presents applications in Economics, Finance, Management and Engineering. The book undertakes to stimulate scientific exchange, ideas and experiences in the field of decision making in Economy and Management. Researchers and practitioners alike will benefit from this book, when they are dealing with imprecision, vagueness and uncertainty in the context of decision making.
Tap into the wisdom of experts to learn what every engineering manager should know. With 97 short and extremely useful tips for engineering managers, you'll discover new approaches to old problems, pick up road-tested best practices, and hone your management skills through sound advice. Managing people is hard, and the industry as a whole is bad at it. Many managers lack the experience, training, tools, texts, and frameworks to do it well. From mentoring interns to working in senior management, this book will take you through the stages of management and provide actionable advice on how to approach the obstacles you'll encounter as a technical manager. A few of the 97 things you should know: "Three Ways to Be the Manager Your Report Needs" by Duretti Hirpa "The First Two Questions to Ask When Your Team Is Struggling" by Cate Huston "Fire Them!" by Mike Fisher "The 5 Whys of Organizational Design" by Kellan Elliott-McCrea "Career Conversations" by Raquel Velez "Using 6-Page Documents to Close Decisions" by Ian Nowland "Ground Rules in Meetings" by Lara Hogan
How are multiculturalism, inequality and belonging understood in the day-to-day thinking and practices of local government? Examining original empirical data, this book explores how local government officers and politicians negotiate 'difficult subjects' linked with community cohesion policy: diversity, inequality, discrimination, extremism, migration, religion, class, power and change. The book argues that such work necessitates 'uncomfortable positions' when managing ethical, professional and political commitments. Based on first-hand experience of working in urban local government and extensive ethnographic, interview and documentary research, the book applies governmentality perspectives in a new way to consider how people working within government are subject to regimes of governmentality themselves, and demonstrates how power operates through emotions. Its exploration of how 'sociological imaginations' are applied beyond academia will be valuable to those arguing for the future of public services and building connections between the university and wider society, including scholars and students in sociology, social policy, social geography, urban studies and politics, and policy practitioners in local and central government. Winner of the BSA Philip Abrams Memorial Prize 2014
Warren Buffett compares stock trading to great athletes: they excel not because of fast neurological responses, but because of their ability to delay as long as possible before reacting. Successful CEOs, fire fighters, and military officers all know how to manage delay to gather as much information as possible to get the results they need. In Wait, Frank Partnoy argues that decisions of all kinds, whether 'snap' or long-term, benefit from being made at the last possible moment. The art of knowing how long you can afford to delay before committing is at the heart of many a great decision, whether in a corporate takeover or a marriage proposal. Apologies are better received if they are not rushed and people who can defer gratification are happier and more successful than those who must have everything now. Partnoy demonstrates that the ability to wait is crucial to getting the right answer and that gut instincts are often wrong.
Game theory is a key element in most decision-making processes involving two or more people or organisations. This book explains how game theory can predict the outcome of complex decision-making processes, and how it can help you to improve your own negotiation and decision-making skills. It is grounded in well-established theory, yet the wide-ranging international examples used to illustrate its application offer a fresh approach to an essential weapon in the armoury of the informed manager. The book is accessibly written, explaining in simple terms the underlying mathematics behind games of skill, before moving on to more sophisticated topics such as zero-sum games, mixed-motive games, and multi-person games, coalitions and power. Clear examples and helpful diagrams are used throughout, and the mathematics is kept to a minimum. It is written for managers, students and decision makers in any field.
Eurocorridors are characterized by intensive transport flows and dynamic patterns of establishment and household locations. They are also considered the backbones of powerful spatial and economic forces in the areas that connect urban regions. One of the main difficulties in the spatial planning of eurocorridors has been the need to engage in different types of collective action. Such an approach can be extremely challenging in practice, useful to researchers in the fieldand to professionals as well. In the light of this, the book s main objectives are: - To define the problem by analyzing the key features, which include freight and passenger transport policies and issues; the territorial context, with its geographical, social, economic and cultural aspects; the plurality of subjects with different aims and resources and the lack of homogeneous information. - To illustrate assessment models and evaluation frameworks (MCDA; Discrete Choice Analysis; Collaborative Assessments; Geovisualization Technologies) in theoretical terms and by the use of case studies."
Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods presents the concepts and details of applications of MADM methods. A range of methods are covered including Analytic Hierarchy Process (AHP), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), VIsekriterijumsko KOmpromisno Rangiranje (VIKOR), Data Envelopment Analysis (DEA), Preference Ranking METHod for Enrichment Evaluations (PROMETHEE), ELimination Et Choix Traduisant la Realite (ELECTRE), COmplex PRoportional ASsessment (COPRAS), Grey Relational Analysis (GRA), UTility Additive (UTA), and Ordered Weighted Averaging (OWA). The existing MADM methods are improved upon and three novel multiple attribute decision making methods for solving the decision making problems of the manufacturing environment are proposed. The concept of integrated weights is introduced in the proposed subjective and objective integrated weights (SOIW) method and the weighted Euclidean distance based approach (WEDBA) to consider both the decision maker's subjective preferences as well as the distribution of the attributes data of the decision matrix. These methods, which use fuzzy logic to convert the qualitative attributes into the quantitative attributes, are supported by various real-world application examples. Also, computer codes for AHP, TOPSIS, DEA, PROMETHEE, ELECTRE, COPRAS, and SOIW methods are included. This comprehensive coverage makes Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods a key reference for the designers, manufacturing engineers, practitioners, managers, institutes involved in both design and manufacturing related projects. It is also an ideal study resource for applied research workers, academicians, and students in mechanical and industrial engineering.
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.
The Decision Maker's Playbook is an easy-to-use, “how-to” toolkit to improve managers' decision making, using visualisations, relevant examples and actionable checklists that cater to its main target group: analytically interested, busy managers and entrepreneurs. The Decision Maker's Playbook will help readers navigate a complex world. Along the five chapters of the books, it will help you in: 1. Overcoming Blindness (How to See What's Hidden) 2. Connecting the Dots (How to Understand Causes and Effects) 3. Sharpening Projections (How to Think About Tomorrow) 4. Improving Decisions (How to Enhance Judgment) 5. Shaping the Future (How to Act Smartly) The Decision Maker's Playbook is your personal toolbox to help you make better decisions. It offers practical advice to help you understand, analyse and shape your world. As simplified representations of reality, the 33 models portrayed in this book allow us to see patterns, identify relationships, and view the world from different vantage points. They help us understand and break up complex phenomena into tractable pieces.
New and expanded edition. An International Bestseller - Over One Million Copies Sold! Shortlisted for the Financial Times/Goldman Sachs Business Book of the Year Award. Since Aristotle, we have fought to understand the causes behind everything. But this ideology is fading. In the age of big data, we can crunch an incomprehensible amount of information, providing us with invaluable insights about the what rather than the why. We're just starting to reap the benefits: tracking vital signs to foresee deadly infections, predicting building fires, anticipating the best moment to buy a plane ticket, seeing inflation in real time and monitoring social media in order to identify trends. But there is a dark side to big data. Will it be machines, rather than people, that make the decisions? How do you regulate an algorithm? What will happen to privacy? Will individuals be punished for acts they have yet to commit? In this groundbreaking and fascinating book, two of the world's most-respected data experts reveal the reality of a big data world and outline clear and actionable steps that will equip the reader with the tools needed for this next phase of human evolution.
Rebekka Sputtek sheds light upon the question of how the personality and emotional traits of executives influence their decision making and leadership behavior. While recent strategic management research has started to recognize the relevance of an executive's personality traits as antecedents of organizational outcomes, this stream has called for a more fine-grained clarification of the psychological processes underlying executive decision making. In order to contribute to the understanding of these processes, a holistic model integrating the role of an expedient set of personality variables and anger in executive's decision making comprehensiveness as well as authenticity of transformational leadership is developed.
Multiple Criteria Decision Making (MCDM) is the study of methods and procedures by which concerns about multiple conflicting criteria can be formally incorporated into the management planning process. A key area of research in OR/MS, MCDM is now being applied in many new areas, including GIS systems, AI, and group decision making. This volume is in effect the third in a series of Springer books by these editors (all in the ISOR series), and it brings all the latest developments in MCDM into focus. Looking at developments in the applications, methodologies and foundations of MCDM, it presents research from leaders in the field on such topics as Problem Structuring Methodologies; Measurement Theory and MCDA; Recent Developments in Evolutionary Multiobjective Optimization; Habitual Domains and Dynamic MCDM in Changeable Spaces; Stochastic Multicriteria Acceptability Analysis; and many more chapters.
Behavioural studies have shown that while humans may be the best decision makers on the planet, we are not quite as good as we think we are. We are regularly subject to biases, inconsistencies and irrationalities in our decision making. Decision Behaviour, Analysis and Support, published in 2009, explores perspectives from many different disciplines to show how we can help decision makers to deliberate and make better decisions. It considers both the use of computers and databases to support decisions as well as human aids to building analyses and some fast and frugal tricks to aid more consistent decision making. In its exploration of decision support it draws together results and observations from decision theory, behavioural and psychological studies, artificial intelligence and information systems, philosophy, operational research and organisational studies. This provides a valuable resource for managers with decision-making responsibilities and students from a range of disciplines, including management, engineering and information systems.
Rooted in the study of chaos and complexity, "Adaptive Action"
introduces a simple, common sense process that will guide you and
your organization into reflective action.
Clearly, concisely, and with many examples from public and private enterprise, Upgrading Leadership's Crystal Ball shows why predictions are usually wrong and presents a better way to look at the future-forecasting. This book is essential-reading for anyone who needs to make the best possible strategic decisions for moving an organization forward in today's rapidly changing environment. Dr. Bauer supplies an insightful comparison of the two mainstream approaches for looking ahead. Although predicting and forecasting are usually used as synonyms for a single process, they are conceptually and methodologically quite different. He explains why everyday failure to operationalize these differences robs us of power to envision and pursue good futures, especially when we are headed in the wrong direction. Readers will learn the real-world value of distinguishing between predicting (extrapolating historical trends) and forecasting (estimating the probabilities of possibilities). Following a description of predictive modeling and a discussion of five reasons why it fails so often in current applications, Dr. Bauer explains the superiority of forecasting and how to do it. To complete readers' understanding of the many compelling reasons for making the shift from predicting to forecasting, Upgrading Leadership's Crystal Ball presents a practical approach to strategic planning in unpredictable times. It concludes with an analysis of the future of big data and its likely impact on the future. Dr. Bauer is uniquely qualified to write this important book; he is trained in both predicting (economics) and forecasting (meteorology). Author of more than 250 publications, he is internationally recognized not only for long-term success in foretelling the future of medical science and health care, but also for successful innovations to create a better delivery system. This book distills the lessons garnered over his 40 year career as economist and futurist into a guide that other leaders can use to avoid problems and create better options in any realm. The book includes a foreword by Dr. Stan Gryskiewicz, author of Positive Turbulence.
This book provides a detailed examination of the complex negotiation processes surrounding intergovernmental conferences in the European Union. Since the Treaty of Amsterdam (1997) and its 'appendix', the Treaty of Nice in 2002, any reform of the constitutional framework of the European Union experiences formidable difficulties. By presenting an extensive study of the Intergovernmental Conference of 1996/7 prior to the Treaty of Amsterdam, the authors argue that these negotiations reveal major challenges of European integration. They contend that multi-level negotiations require an appropriate coordination of informal administrative networks and the empowerment of administrative leadership, with these factors significantly shaping the dynamics and outcomes of negotiations. Through these findings, this book lays down the foundation for future evidence-based support and evaluation of multilateral negotiations, and delivers new insights on decision-making within the European Union. It draws on advanced statistical methods and network analysis. European Union Intergovernmental Conferences will be of interest to students and researchers of political science, sociology, administrative science, business and management studies, international law and European law.
1 Introduction.- 2 Review of Ordinary Least Squares and Generalized Least Squares.- 3 Point Estimation and Tests of Hypotheses in Small Samples.- 4 Large Sample Point Estimation and Tests of Hypotheses.- 5 Stochastic Regressors.- 6 Use of Prior Information.- 7 Preliminary Test and Stein-Rule Estimators.- 8 Feasible Generalized Least Squares Estimation.- 9 Heteroscedasticity.- 10 Autocorrelation.- 11 Lagged Dependent Variables and Autcorrelation.- 12 Unobservable Variables.- 13 Multicollinearity.- 14 Varying Coefficient Models.- 15 Models That Combine Time-Series and Cross-Section Data.- 16 The Analysis of Models with Qualitative or Censored Dependent Variables.- 17 Distributed Lags.- 18 Uncertainty in Model Specification and Selection.- 19 Introduction to Simultaneous Equations Models.- 20 Identification.- 21 Limited Information Estimation.- 22 Full Information Estimation.- 23 Reduced Form Estimation and Prediction in Simultaneous Equations Models.- 24 Properties of Dynamic Simultaneous Equations Models.- 25 Special Topics in Simultaneous Equations.- Appendix Estimation and Inference in Nonlinear Statistical Models.- A.1 Nonlinear Optimization.- A.1.1 Method of Steepest Ascent.- A.1.2 The Method of Newton.- A.1.3 Method of Quadratic Hill Climbing.- A.1.4 Numerical Differentiation.- A.2 Maximum Likelihood Estimation.- A.2.1 Use of the Method of Newton.- A.2.2 Method of Scoring.- A.2.3 The Method of Berndt, Hall, Hall, and Hausman.- A.2.4 Asymptotic Tests Based on the Maximum Likelihood Method.- A.2.4a The Wald Test.- A.2.4b The Lagrange-Multiplier Test.- A.2.4c The Likelihood Ratio Test Statistic.- A.2.4d Concluding Remarks.- A.3 Nonlinear Regression.- A.4 Summary and Guide to Further Readings.- A.5 References. |
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