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Books > Reference & Interdisciplinary > Communication studies > Decision theory
For businesses to grow and be successful their approach to resilience must be defined by a holistic and risk-focused outlook, rather than one which is narrow and dominated by event-oriented continuity practices. The Organizational Resilience Handbook shows that success is as much to do with innovation and the speed with which new products are brought to market as it is with organizations having to deal with unexpected crisis situations. It comprehensively covers the full breadth and depth of the field and introduces related topics such as security, safety, e-commerce, emerging technologies and customer experience. Through adopting a strategic and progressive approach, practitioners can apply the book's methodology to develop an in-depth understanding of resilience within their own organization and use it to effectively engage with the board and senior management in developing strategies for achieving greater resilience capability. A range of high-profile case studies, such as Mercedes, the UK's National Health Service, Alibaba and BP, help to illustrate the concept of resilience by detailing characteristics and behaviours which confirm its meaning. The Organizational Resilience Handbook is a practical guide to self-assessment, benchmarking performance and implementing resilience frameworks in any organization.
This book is a six part guide to the principalship. It covers topics including: -How to know who you are working with and how to explore their motivation. -Who are the informal leaders in your building and how to negotiate a principal's relationship with them. -How to evaluate your school staff and use them more effectively. -How to determine if your community is on your side or have already lined up for a showdown with you. This book leads principals through an examination of themselves and their motivation. It takes an unflinching look at the nature of today's principalship at all levels.
The question as to whether we are now entering a risk society has become a key debate in contemporary social theory. Risk and Technological Culture presents a critical discussion of the main theories of risk from Ulrich Becks foundational work to that of his contemporaries such as Anthony Giddens and Scott Lash and assesses the extent to which risk has impacted on modern societies. In this discussion van Loon demonstrates how new technologies are transforming the character of risk and examines the relationship between technological culture and society through substantive chapters on topics such as waste, emerging viruses, communication technologies and urban disorders. In so doing this innovative new book extends the debate to encompass theorists such as Bruno Latour, Donna Haraway, Gilles Deleuze, Felix Guattari and Jean-Fran?ois Lyotard.
Researchers studying decision making have traditionally studied the
phenomenon in the laboratory, with hypothetical decisions that may
or may not involve the decision maker's values, passions, or areas
of expertise. The assumption is that the findings of these
well-controlled laboratory studies will shed light on the important
decisions people make in their everyday lives. This book examines
that assumption.
Researchers studying decision making have traditionally studied the
phenomenon in the laboratory, with hypothetical decisions that may
or may not involve the decision maker's values, passions, or areas
of expertise. The assumption is that the findings of these
well-controlled laboratory studies will shed light on the important
decisions people make in their everyday lives. This book examines
that assumption.
The book constitutes a valuable guide to the implementation of the CNS/ATM system towards ensuring safe, efficient and orderly evolution of international air transport. It uses a pragmatic approach in addressing the major legal, institutional, technical, political and economic aspects underlying the Global Navigation Satellite System, which is expected to play a fundamental role in aviation safety and air navigation world-wide. The book also examines, through well-reasoned analysis and research, the various controversial and relevant issues which will dominate the system in the years to come. The author demonstrates a profound grasp of the subject-matter through a sustained absorption of technical, institutional and legal principles applying to this complex subject. This is brought to bear in the coherent structure and logical organisation of the chapters which makes the book an invaluable tool for the aviation community, scholars and national and international regulatory authorities. It will also be immensely useful for practitioners who work towards further development and implementation of the CNS/ATM system. There has been no comparable work previously published.
Many decision problems in Operations Research are defined on temporal networks, that is, workflows of time-consuming tasks whose processing order is constrained by precedence relations. For example, temporal networks are used to model projects, computer applications, digital circuits and production processes. Optimization problems arise in temporal networks when a decision maker wishes to determine a temporal arrangement of the tasks and/or a resource assignment that optimizes some network characteristic (e.g. the time required to complete all tasks). The parameters of these optimization problems (e.g. the task durations) are typically unknown at the time the decision problem arises. This monograph investigates solution techniques for optimization problems in temporal networks that explicitly account for this parameter uncertainty. We study several formulations, each of which requires different information about the uncertain problem parameters.
The purpose of this book is to share with teachers a successful coaching model that has been researched, designed, piloted, evaluated and used across a range of schools. It is a peer coaching model which teachers use with teachers. It is a model which, as a coach or coachee, both parties will learn from. While the model is directed to teachers, it is equally applicable and transferable to other professions.The book is clear and concise with relevant background information, a step-by-step process, and includes case studies.
The goal of this book is to help business managers and academic
researchers understand the means-end perspective and the methods by
which it is used, and to demonstrate how to use the means-end
approach to develop better marketing and advertising strategy. The
authors discuss methodological issues regarding interviewing and
coding, present applications of the means-end approach to marketing
and advertising problems, and describe the conceptual foundations
of the means-end approach.
Stress Testing and Risk Integration in Banks provides a comprehensive view of the risk management activity by means of the stress testing process. An introduction to multivariate time series modeling paves the way to scenario analysis in order to assess a bank resilience against adverse macroeconomic conditions. Assets and liabilities are jointly studied to highlight the key issues that a risk manager needs to face. A multi-national bank prototype is used all over the book for diving into market, credit, and operational stress testing. Interest rate, liquidity and other major risks are also studied together with the former to outline how to implement a fully integrated risk management toolkit. Examples, business cases, and exercises worked in Matlab and R facilitate readers to develop their own models and methodologies.
In today's world, deep learning source codes and a plethora of open access geospatial images are readily available and easily accessible. However, most people are missing the educational tools to make use of this resource. Deep Learning for Remote Sensing Images with Open Source Software is the first practical book to introduce deep learning techniques using free open source tools for processing real world remote sensing images. The approaches detailed in this book are generic and can be adapted to suit many different applications for remote sensing image processing, including landcover mapping, forestry, urban studies, disaster mapping, image restoration, etc. Written with practitioners and students in mind, this book helps link together the theory and practical use of existing tools and data to apply deep learning techniques on remote sensing images and data. Specific Features of this Book: The first book that explains how to apply deep learning techniques to public, free available data (Spot-7 and Sentinel-2 images, OpenStreetMap vector data), using open source software (QGIS, Orfeo ToolBox, TensorFlow) Presents approaches suited for real world images and data targeting large scale processing and GIS applications Introduces state of the art deep learning architecture families that can be applied to remote sensing world, mainly for landcover mapping, but also for generic approaches (e.g. image restoration) Suited for deep learning beginners and readers with some GIS knowledge. No coding knowledge is required to learn practical skills. Includes deep learning techniques through many step by step remote sensing data processing exercises.
A remarkable look at how the growth, technology, and politics of high-frequency trading have altered global financial markets In today's financial markets, trading floors on which brokers buy and sell shares face-to-face have increasingly been replaced by lightning-fast electronic systems that use algorithms to execute astounding volumes of transactions. Trading at the Speed of Light tells the story of this epic transformation. Donald MacKenzie shows how in the 1990s, in what were then the disreputable margins of the US financial system, a new approach to trading-automated high-frequency trading or HFT-began and then spread throughout the world. HFT has brought new efficiency to global trading, but has also created an unrelenting race for speed, leading to a systematic, subterranean battle among HFT algorithms. In HFT, time is measured in nanoseconds (billionths of a second), and in a nanosecond the fastest possible signal-light in a vacuum-can travel only thirty centimeters, or roughly a foot. That makes HFT exquisitely sensitive to the length and transmission capacity of the cables connecting computer servers to the exchanges' systems and to the location of the microwave towers that carry signals between computer datacenters. Drawing from more than 300 interviews with high-frequency traders, the people who supply them with technological and communication capabilities, exchange staff, regulators, and many others, MacKenzie reveals the extraordinary efforts expended to speed up every aspect of trading. He looks at how in some markets big banks have fought off the challenge from HFT firms, and how exchanges sometimes engineer technical systems to favor certain types of algorithms over others. Focusing on the material, political, and economic characteristics of high-frequency trading, Trading at the Speed of Light offers a unique glimpse into its influence on global finance and where it could lead us in the future.
This book presents the concept of the double hierarchy linguistic term set and its extensions, which can deal with dynamic and complex decision-making problems. With the rapid development of science and technology and the acceleration of information updating, the complexity of decision-making problems has become increasingly obvious. This book provides a comprehensive and systematic introduction to the latest research in the field, including measurement methods, consistency methods, group consensus and large-scale group consensus decision-making methods, as well as their practical applications. Intended for engineers, technicians, and researchers in the fields of computer linguistics, operations research, information science, management science and engineering, it also serves as a textbook for postgraduate and senior undergraduate university students.
This is the first book to provide a comprehensive and systematic introduction to the ranking methods for interval-valued intuitionistic fuzzy sets, multi-criteria decision-making methods with interval-valued intuitionistic fuzzy sets, and group decision-making methods with interval-valued intuitionistic fuzzy preference relations. Including numerous application examples and illustrations with tables and figures and presenting the authors' latest research developments, it is a valuable resource for researchers and professionals in the fields of fuzzy mathematics, operations research, information science, management science and decision analysis.
Featuring a substantial new introduction and two new chapters in the Postscript, this new edition makes one of the most significant works on power available in paperback and online for the first time. The author extensively engages with a body of new literature to elucidate and expand upon the original work, using rational choice theory to provide: * An examination of how, due to the collective action problem, groups can be powerless despite not facing any resistance * Timely engagement with feminist accounts of power * An explanation of the relationship of structure and agency and how to measure power comparatively across societies This book's unique interaction with both classical and contemporary debates makes it an essential resource for anyone teaching or studying power in the disciplines of sociology, philosophy, politics or international relations.
Technology failures, data loss, issues with providers of outsourced services, misconduct and mis-selling are just some of the top risks that keep financial firms up at night. In this context effective operational risk management is, simply, a commercial necessity. The management of operational risk, defined by the Basel Accord as arising from failures of processes, people, systems or external events, has developed considerably since its early years. Continued regulatory focus and catastrophic industry events have led to operational risk becoming a crucial topic on senior management's agenda. This book is a practical guide for practitioners which focuses on how to establish effective solutions and avoid common pitfalls. Filled with frameworks, examples and diagrams, this book offers clear advice on key practices including conducting risk assessments, assessing change initiatives, designing key risk indicators, establishing scenario analysis, drafting appetite statements and carrying out risk reporting. Operational Risk Management in Financial Services also features results from polls taken by risk practitioners which provide a snapshot of current practices and allow the reader to benchmark themselves against other firms. This is the essential guide for professionals looking to derive value out of operational risk management, rather than applying a compliance 'tick box' approach.
Enterprise Risk Management: Advances on its Foundation and Practice relates the fundamental enterprise risk management (ERM) concepts and current generic risk assessment and management principles that have been influential in redefining the risk field over the last decade. It defines ERM with a particular focus on understanding the nexus between risk, uncertainty, knowledge and performance. The book argues that there is critical need for ERM concepts, principles and methods to adapt to the latest and most influential risk management developments, as there are several issues with outdated ERM theories and practices; problems include the inability to effectively and systematically balance both opportunity and downside performance, or relying too much on narrow probability-based perspectives for risk assessment and decision-making. It expands traditional loss-based risk principles into new and innovative performance-risk frameworks, and presents fundamental risk principles that have recently been developed by the Society for Risk Analysis (SRA). All relevant statistical and risk concepts are clearly explained and interpreted using minimal mathematical notation. The focus of the book is centered around ideas and principles, more than technicalities. The book is primarily intended for risk professionals, researchers and graduate students in the fields of engineering and business, and should also be of interest to executive managers and policy makers with some background in quantitative methods such as statistics.
Compliance has become key to our contemporary markets, societies, and modes of governance across a variety of public and private domains. While this has stimulated a rich body of empirical and practical expertise on compliance, thus far, there has been no comprehensive understanding of what compliance is or how it influences various fields and sectors. The academic knowledge of compliance has remained siloed along different disciplinary domains, regulatory and legal spheres, and mechanisms and interventions. This handbook bridges these divides to provide the first one-stop overview of what compliance is, how we can best study it, and the core mechanisms that shape it. Written by leading experts, chapters offer perspectives from across law, regulatory studies, management science, criminology, economics, sociology, and psychology. This volume is the definitive and comprehensive account of compliance.
This book arose out of a conference on "Epistemic Logic and the Theory of Games and Decisions" that took place in January 1994 at the Centre Inter- national de Recherches Mathematiques in Marseille. The convergence of game theory and epistemic logic has been in progress for two decades. The aim of the conference was to explore this rapprochement further by gathering spe- cialists from different professional communities, i. e. , economics, mathematics, philosophy, and computer science. Also, the organizors aimed at fostering the work centered on the issues of knowledge and belief that has recently been pursued amongst game theorists and decision theorists. The conference was funded by the following institutions: Centre National de la Recherche Sci- entifique (France), Ministere de l'Enseignement Superieur et de la Recherche (France), Association pour Ie Developpement de la Recherche en Economie et Statistique (France). It was also supported by the Human Capital and Mobility Programme of the EU, as well as, locally, by the Ville de Marseille. We would like to express our gratitude to these institutions for their generous help. Despite the success of the conference, it was not the editors' intention to circulate just another volume of proceedings in the usual style. Throughout the more than two-year editorial process, they have pursued the goal of providing a no doubt non-exhaustive, but hopefully thorough and accurate, state of the art account of a promising field of research.
Whilst a great deal of progress has been made in recent decades, concerns persist about the course of the social sciences. Progress in these disciplines is hard to assess and core scientific goals such as discovery, transparency, reproducibility, and cumulation remain frustratingly out of reach. Despite having technical acumen and an array tools at their disposal, today's social scientists may be only slightly better equipped to vanquish error and construct an edifice of truth than their forbears - who conducted analyses with slide rules and wrote up results with typewriters. This volume considers the challenges facing the social sciences, as well as possible solutions. In doing so, we adopt a systemic view of the subject matter. What are the rules and norms governing behavior in the social sciences? What kinds of research, and which sorts of researcher, succeed and fail under the current system? In what ways does this incentive structure serve, or subvert, the goal of scientific progress?
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