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Books > Business & Economics > Business & management > Management & management techniques > Management decision making > General
This book takes a fresh look at safety decision-making by documenting and examining stories told by front-line managers in three different high-hazard industries: a chemical plant, a nuclear power station and an air-navigation service provider. From Piper Alpha to Deepwater Horizon, accident analysis has stressed the importance of excellent decision-making by those in charge out in the field. Organizations rely critically on the judgement and experience of such senior operations personnel and yet these qualities are undervalued in a business environment that emphasises documentation and measurement. Whilst operational managers are guided by rules, they also draw on their own long experience and can formulate a situation-specific 'line in the sand' to apply the experience of the operating team to complex, real-world situations that rule writers may not have foreseen. This volume refocuses our attention on the people who make these important decisions and the organizational processes that support the best choices. Jan Hayes uses her multi-disciplinary experience to draw together an account of safety decision-making that is both technically robust and yet accessible to academics, practitioners and regulators alike. Readers will see that the stories retold in this book provide a way for operational managers to share their knowledge, experience and expertise - with each other and with us.
Analytics is one of a number of terms which are used to describe a data-driven more scientific approach to management. Ability in analytics is an essential management skill: knowledge of data and analytics helps the manager to analyze decision situations, prevent problem situations from arising, identify new opportunities, and often enables many millions of dollars to be added to the bottom line for the organization. The objective of this book is to introduce analytics from the perspective of the general manager of a corporation. Rather than examine the details or attempt an encyclopaedic review of the field, this text emphasizes the strategic role that analytics is playing in globally competitive corporations today. The chapters of this book are organized in two main parts. The first part introduces a problem area and presents some basic analytical concepts that have been successfully used to address the problem area. The objective of this material is to provide the student, the manager of the future, with a general understanding of the tools and techniques used by the analyst.
This book provides an analysis on the impact of culture on crisis management, exploring how different cultural types are reflected in crisis-related decision making patterns. Providing an interdisciplinary and international perspective with a rich research and practical outlook, this work is an important contribution to the field of crisis management and decision making. Offering essential understanding to how countries, organizations, groups and individuals prepare for and respond to crises thus combining research across several disciplines, offering theoretical development, empirical testing and reporting on the testing of a large number of hypotheses across several frameworks. The novelty of this book lies in its presentation of the quantitative testing of the relationship between cultural theory and crisis management, drawing on data from cases that cross continents and crises types. The book also includes a review of cases from South Korea and suggests a number of ways in which practitioners at various levels of government can prepare their organizations to cope better with the introduction of cultural bias into the decision making process. Those with an interest in risk management, disaster management and crisis management will value this pioneering work as it reveals the influence of cultural bias in decision making processes. This work offers important insights for practice as well as for theory-building, scholars and practitioners of public administration, management, political, and international relations, organizational, social and cultural psychology, amongst others, will all gain from reading this work.
This two-volume collection of key papers by leading scholars provides a comprehensive perspective on the evaluation and performance of risk regulation policies. An analysis of the statistical life provides the basis for an examination of the risk money tradeoffs reflected in individual decisions in the labour, product and housing markets and an investigation of how these concepts can be used to evaluate government regulatory policies, including the newly developed risk-risk analysis approach. The volumes also offer an assessment of the performance of government risk regulations and a comprehensive analysis of the formation of risk beliefs and the role of hazard warnings policies in fostering improved risk decisions. The editors have written an authoritative introduction which presents a review of the selected papers and identifies interesting topics for future research.
In real-life scenarios, service management involves complex
decision-making processes usually affected by random or stochastic
variables. Under such uncertain conditions, the development and use
of robust and flexible strategies, algorithms, and methods can
provide the quantitative information necessary to make better
business decisions. Decision Making in Service Industries: A
Practical Approach explores the challenges that must be faced to
provide intelligent strategies for efficient management and
decision making that will increase your organization s
competitiveness and profitability. Traditionally, many quantitative tools have been developed to make decisions in production companies. This book explores how to use these tools for making decisions inside service industries. Thus, the authors tackle strategic, tactical, and operational problems in service companies with the help of suitable quantitative models such as heuristic and metaheuristic algorithms, simulation, or queuing theory. Generally speaking, decision making is a hard task in business fields. Making the issue more complex, most service companies problems are related to the uncertainty of the service demand. This book sheds light on these types of decision problems. It provides studies that demonstrate the suitability of quantitative methods to make the right decisions. Consequently, this book presents the business analytics needed to make strategic decisions in service industries.
"Brick by Brick" takes you inside the LEGO you've never seen. By
following the teams that are inventing some of the world's
best-loved toys, it spotlights the company's disciplined approach
to harnessing creativity and recounts one of the most remarkable
business transformations in recent memory.
Winner of best smart thinking book 2022 (Business Book Awards) Guardian best books of 2021 'Original, thought-provoking and a joy to read' Tim Harford 'Highly recommended. It's not easy to become (more of) a scout, but it's hard not to be inspired by this book' Rutger Bregman When it comes to what we believe, humans see what they want to see. In other words, we have what Julia Galef calls a 'soldier' mindset. From tribalism and wishful thinking, to rationalising in our personal lives and everything in between, we are driven to defend the ideas we most want to believe - and shoot down those we don't. But if we want to get things right more often we should train ourselves to think more like a scout. Unlike the soldier, a scout's goal isn't to defend one side over the other. It's to go out, survey the territory, and come back with as accurate a map as possible. Regardless of what they hope to be the case, above all, the scout wants to know what's actually true. In The Scout Mindset, Galef shows that what makes scouts better at getting things right isn't that they're smarter or more knowledgeable than everyone else. It's a handful of emotional skills, habits, and ways of looking at the world - which anyone can learn. With fascinating examples ranging from how to survive being stranded in the middle of the ocean, to how Jeff Bezos avoids overconfidence, to how superforecasters outperform CIA operatives, to Reddit threads and modern partisan politics, Galef explores why our brains deceive us and what we can do to change the way we think. 'With insights that are both sharp and actionable, The Scout Mindset picks up where Predictably Irrational left off. Reading it will teach you to think more clearly, see yourself more accurately, and be wrong a little less often' Adam Grant
Games, or contexts of strategic interaction, pervade and suffuse our lives and the lives of all organisms. How are we to make sense of and cope with such situations? How should an agent play? When will and when won't cooperation arise and be maintained? Using examples and a careful digestion of the literature, Agents, Games, and Evolution: Strategies at Work and Play addresses these encompassing themes throughout, and is organized into four parts: Part I introduces classical game theory and strategy selection. It compares ideally rational and the "naturalist" approach used by this book, which focuses on how actual agents chose their strategies, and the effects of these strategies on model systems. Part II explores a number of basic games, using models in which agents have fixed strategies. This section draws heavily on the substantial literature associated with the relevant application areas in the social sciences. Part III reviews core results and applications of agent-based models in which strategic interaction is present and for which design issues have genuine practical import. This section draws heavily on the substantial literature associated with the application area to hand. Part IV addresses miscellaneous topics in strategic interaction, including lying in negotiations, reasoning by backward induction, and evolutionary models. Modeled after the authors' Agents, Games, and Evolution course at the University of Pennsylvania, this book keeps mathematics to a minimum, focusing on computational strategies and useful methods for dealing with a variety of situations.
In the last few years, competition has become increasingly more complex, variable and dynamic, as can be seen in phenomena like globalization and technological acceleration. To cope with the dynamism and uncertainty of competition, enterprises need capabilities that enable them to respond to competition, as well as to improve their analytical skills and knowledge in order to better manage new strategic projects. Strategic analysis uses both quantitative and qualitative tools to understand both competitive contexts and available company resources. In Strategic Analysis: Processes and Tools, author Andrea Beretta Zanoni develops a theory of strategic analysis and offers models for the application of strategic analysis tools during all phases of the process including planning and decision-making, the development of control, and the formulation of a strategic diagnosis.
Under intense scrutiny for the last few decades, Multiple Objective Decision Making (MODM) has been useful for dealing with the multiple-criteria decisions and planning problems associated with many important applications in fields including management science, engineering design, and transportation. Rough set theory has also proved to be an effective mathematical tool to counter the vague description of objects in fields such as artificial intelligence, expert systems, civil engineering, medical data analysis, data mining, pattern recognition, and decision theory. Rough Multiple Objective Decision Making is perhaps the first book to combine state-of-the-art application of rough set theory, rough approximation techniques, and MODM. It illustrates traditional techniques-and some that employ simulation-based intelligent algorithms-to solve a wide range of realistic problems. Application of rough theory can remedy two types of uncertainty (randomness and fuzziness) which present significant drawbacks to existing decision-making methods, so the authors illustrate the use of rough sets to approximate the feasible set, and they explore use of rough intervals to demonstrate relative coefficients and parameters involved in bi-level MODM. The book reviews relevant literature and introduces models for both random and fuzzy rough MODM, applying proposed models and algorithms to problem solutions. Given the broad range of uses for decision making, the authors offer background and guidance for rough approximation to real-world problems, with case studies that focus on engineering applications, including construction site layout planning, water resource allocation, and resource-constrained project scheduling. The text presents a general framework of rough MODM, including basic theory, models, and algorithms, as well as a proposed methodological system and discussion of future research.
This book, originally published in 1975, is an attempt to bridge the gap between economic theory and business practice by relating the tools of economic analysis to the decision making process itself. It is written from a decision making systems analysis viewpoint. This approach enables the reader to perceive the integrative nature of the subject matter in relation to the functioning of the business enterprise. Although the unifying theme of 'decision making' is at the heart of the book, where necessary some of the theoretical underpinnings of traditional neo-classical theory of the firm are covered.
Originally published in 1981. Risk is a problem which all business decision makers have to cope with. The problem is not insurmountable, however, as there now exist well-established techniques for minimising risk and for calculating which of various available options is the optimal one to pursue. This book outlines and discusses these techniques and the theories behind them. Unlike many economic theories which only rarely have any practical applications, the techniques put forward in this book can be used by real businessmen to solve real business problems. The book concentrates on decision-making in two main areas: the allocation of a firm's resources and the selection of new investments; and the techniques and theories discussed fall into three broad groups: linear programming, decision theory and capital market theory. Intended as an advanced undergraduate textbook for students taking business economics or managerial economics courses, this valuable book will interest specialists and students involved in management studies, microeconomics, strategic planning, operational research, accounting and MBA programmes.
Originally published in 1972. Managers at all levels and management students may all expect to become involved increasingly in the development of computer-based information systems. This book, based upon practical training given to systems analysts, is designed to help managers achieve a route to successful implementation of computer systems, or to prepare them for involvement in computer projects.
Macrocognition Metrics and Scenarios: Design and Evaluation for Real-World Teams translates advances by scientific leaders in the relatively new area of macrocognition into a format that will support immediate use by members of the software testing and evaluation community for large-scale systems as well as trainers of real-world teams. Macrocognition is defined as how activity in real-world teams is adapted to the complex demands of a setting with high consequences for failure. The primary distinction between macrocognition and prior research is that the primary unit for measurement is a real-world team coordinating their activity, rather than individuals processing information, the predominant model for cognition for decades. This book provides an overview of the theoretical foundations of macrocognition, describes a set of exciting new macrocognitive metrics, and provides guidance on using the metrics in the context of different approaches to evaluation and measurement of real-world teams.
The world is increasingly turbulent and complex, awash with disruptions, tipping points and knock-on effects exemplified by the implosion of financial markets and economies around the globe. This book is for business and organizational leaders who want and need to think through how best to deal with increasing turbulence, and with the complexity and uncertainty that come with it. The authors explain in clear language how future orientation and, specifically, modern scenario techniques help to address these conditions. They draw on examples from a wide variety of international settings and circumstances including large corporations, inter-governmental organizations, small firms and municipalities. Readers will be inspired to try out scenario approaches themselves to better address the turbulence that affects them and others with whom they work, live and do business. This second edition extends the use of scenarios planning and methods to tackle the risk and uncertainty of financial markets and the potentially massive impacts on businesses of all kinds, providing powerful tools to give far thinking executives an advantage in these turbulent times.
Today there are more technology, technologists, knowledge and experts than at any time in human history; but from a global perspective, it is difficult to argue that this accumulation of knowledge and technology has put the world in an unambiguously better position than it was in the past. Business is not getting any easier to do and major corporate collapses based on poor decisions, poor conduct, and poor judgement continue to occur. In public administration too, basic institutions and services (education, health, transport) seem to be continually undergoing "crises" of inadequate delivery and excessive pressure. Wisdom and Management in the Knowledge Economy explains why unwise managerial practice can happen in a world characterized by an excess of information and knowledge. Drawing on Aristotle's idea of practical wisdom, the book develops a theory of social practice wisdom that addresses important social psychological and sociological dynamics that underpin wise management and organizations. As well as providing a detailed theory of social practice wisdom, this book considers practical issues in organizational communication, behavior, culture, change and knowledge as well as in HRM, leadership, ethics, strategy, international business, business education, and wisdom research. By introducing the notion of social practice wisdom, aspects of social structure, organizational culture, and organizational communication needed for wisdom to flourish are for the first time rendered visible in a way that opens new possibilities for wiser management, wiser organizations, and wisdom research.
This edited volume looks at whether it is possible to be more transparent about uncertainty in scientific evidence without undermining public understanding and trust. With contributions from leading experts in the field, this book explores the communication of risk and decision-making in an increasingly post-truth world. Drawing on case studies from climate change to genetic testing, the authors argue for better quality evidence synthesis to cut through the noise and highlight the need for more structured public dialogue. For uncertainty in scientific evidence to be communicated effectively, they conclude that trustworthiness is vital: the data and methods underlying statistics must be transparent, valid, and sound, and the numbers need to demonstrate practical utility and add social value to people's lives. Presenting a conceptual framework to help navigate the reader through the key social and scientific challenges of a post-truth era, this book will be of great relevance to students, scholars, and policy makers with an interest in risk analysis and communication.
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 treaty framework of the European Union seems to be doomed to fail, evidenced by the decline of the Constitutional Treaty and by the current fate of the Lisbon treaty. By presenting an extensive quantitative study of the Intergovernmental Conference of 1996/7 prior to the Treaty of Amsterdam, the authors argue that these negotiations reveal the major challenges of European integration. Drawing on advanced statistical methods, 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 evaluations of negotiations and implementation studies, and delivers new insights on decision-making within the European Union. 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.
Combinatorial optimization is a multidisciplinary scientific area, lying in the interface of three major scientific domains: mathematics, theoretical computer science and management. The three volumes of the Combinatorial Optimization series aim to cover a wide range of topics in this area. These topics also deal with fundamental notions and approaches as with several classical applications of combinatorial optimization. Concepts of Combinatorial Optimization, is divided into three parts: - On the complexity of combinatorial optimization problems, presenting basics about worst-case and randomized complexity; - Classical solution methods, presenting the two most-known methods for solving hard combinatorial optimization problems, that are Branch-and-Bound and Dynamic Programming; - Elements from mathematical programming, presenting fundamentals from mathematical programming based methods that are in the heart of Operations Research since the origins of this field.
Best-selling author Cass R. Sunstein examines how to avoid worst-case scenarios The world is increasingly confronted with new challenges related to climate change, globalization, disease, and technology. Governments are faced with having to decide how much risk is worth taking, how much destruction and death can be tolerated, and how much money should be invested in the hopes of avoiding catastrophe. Lacking full information, should decision-makers focus on avoiding the most catastrophic outcomes? When should extreme measures be taken to prevent as much destruction as possible? Averting Catastrophe explores how governments ought to make decisions in times of imminent disaster. Cass R. Sunstein argues that using the "maximin rule," which calls for choosing the approach that eliminates the worst of the worst-case scenarios, may be necessary when public officials lack important information, and when the worst-case scenario is too disastrous to contemplate. He underscores this argument by emphasizing the reality of "Knightian uncertainty," found in circumstances in which it is not possible to assign probabilities to various outcomes. Sunstein brings foundational issues in decision theory in close contact with real problems in regulation, law, and daily life, and considers other potential future risks. At once an approachable introduction to decision-theory and a provocative argument for how governments ought to handle risk, Averting Catastrophe offers a definitive path forward in a world rife with uncertainty.
The phenomenon of entrepreneurship has attracted researchers from a variety of disciplines and a diverse number of analytical approaches. Currently, there is a considerable amount of confusion and a variety of conflicting theories which are being used interchangeably and ambiguously. In this important new book, the authors argue that there are analytically distinct forms of entrepreneurship, each of them having an individual logic of their own. They highlight the role of individual economic agents with endowments of new knowledge or new combinations of old knowledge as entrepreneurs, and thus identify them as dynamic factors in the knowledge economy. Overall, this book not only provides a contemporary overview of current research in the field, but also summarizes the policy conclusions that can be drawn from current research.
Every day, we face the same questions: How do I make the right decision? How can I work more efficiently? And, on a more personal level, what do I want? This updated edition of the international bestseller distills into a single volume the fifty best decision-making models used in MBA courses, and elsewhere, that will help you tackle these important questions. In minutes you can become conversant with: The Long Tail * The Maslow Pyramids * SWOT Analysis * The Rubber Band Model * The Prisoner's Dilemma * Cognitive Dissonance * The Eisenhower Matrix * Conflict Resolution * Flow * The Personal Potential Trap * and many more. Stylish and compact, this little book is a powerful asset. Whether you need to plan a presentation, assess someone's business idea, or get to know yourself better, this unique guide-bursting with useful visual tools-will help you simplify any problem and make the best decision.
Tavistock Press was established as a co-operative venture between
the Tavistock Institute and Routledge & Kegan Paul (RKP) in the
1950s to produce a series of major contributions across the social
sciences.
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