A discussion on the social complexity approach, where dialogue and stories allow for the degrees of freedom needed for the opportunities of emergence to take root. The authors focus on the experience of coherence and how such experiential lessons differ from the establishment and maintenance of categories and labels.

Knowledge Unplugged announces the results of a major survey of knowledge management practice within the most influential companies in the world, by the most influential management consultancy group in the world. The McKinsey Knowledge Management team interviewed top executives and also investigated how far their plans were implemented in practice, in 40 companies in the US, Europe and Japan. In many companies they discovered a significant gap between the vision at the top and the reality on the shop floor. Knowledge Unplugged draws together their findings and presents a practical guide to improving knowledge building and sharing at all levels within an organization, vividly illustrated with case studies of best practice and common pitfalls. They argue that knowledge management is much more than simply installing a new database and can only be successful when it is at the heart of everyday personal exchanges, personal incentives and personal responsibilities at every level of the firm.

Multi-criteria decision making (MCDM) has been extensively used in diverse disciplines, with a variety of MCDM techniques used to solve complex problems. A primary challenge faced by research scholars is to decode these techniques using detailed step-by-step analysis with case studies and data sets. The scope of such work would help decision makers to understand the process of using MCDM techniques appropriately to solve complex issues without making mistakes. Multi-Criteria Decision Analysis in Management provides innovative insights into the rationale behind using MCDM techniques to solve decision-making problems and provides comprehensive discussions on these techniques from their inception, development, and growth to their advancements and applications. The content within this publication examines hybrid multicriteria models, value theory, and data envelopment. Ideal for researchers, management professionals, students, operations scholars, and academicians, this scholarly work supports and enhances the decision-making process.

A compact guide to knowledge management, this book makes the subject accessible without oversimplifying it. Organizational issues like strategy and culture are discussed in the context of typical knowledge management processes. The focus is always on pointing out all the issues that need to be taken into account in order to make knowledge management a success. The book then goes on to explore the role of information technology as an enabler of knowledge management relating various technologies to the knowledge management processes, showing the reader what can, and what cannot, be achieved through technology. Throughout the book, references to lessons learned from past projects underline the arguments. Managers will find this book a valuable guide for implementing their own initiatives, while researchers and system designers will find plenty of ideas for future work.

This book recommends and examines the various approaches to incorporating an accurate measure of risk into the appraisal of an international investment. It considers the way in which decisions on international investment projects are taken and how they should be. It critiques and integrates existing theories, including the global capital asset pricing rule of financial theory, theories of strategy making and the real options approach, to show how risk should be incorporated into the present value formula and its various elements to produce a clear decision rule.

Since the publication of the 2nd edition of The Credit Risk of Complex Derivatives in 1997, the world of derivatives has gone through a period of dramatic change in the external operating environment, product and market characteristic and risk management techniques. In the light of these changes, the text has been substantially reorganized, updated and expanded. Several new chapters have been added including: derivative losses risk governance and risk management efforts regulatory initiatives and advances credit risk portfolio models Aimed at clients, intermediaries and regulators, this new edition will be focussed clearly on risk education, risk management and risk disclosure in order to make participation in derivatives more secure, transparent, efficient and beneficial. MARKET 1: Senior Managers; Risk Managers; Compliance Managers; Consultants; Trading and Sales Staff; Quantitative Analysts; Credit Analysts; Regulators MARKET 2: MBA courses

Mathematical models are being increasingly used to estimate the concentrations of a wide range of substances in the environment for a variety of reasons, including government control and legislation, and risk and hazard estimation. Exposure assessment has to be performed for many types of substances, including pesticides, industrial chemicals, pollutants, accidental discharges, etc. The interpretation of the results of model equations should always bear in mind the purpose for which the model used was built in the first place. Further, models are always an abstraction of reality, requiring simplifying assumptions to keep the models within the restraints posed by computer performance and/or scientific knowledge. The present book treats the theme of modelling chemical exposure and risk in terms of four main topics: model characteristics, applications, comparison of estimated with measured concentrations, and modelling credibility.

p>Imagine what your life would be like if you could apply the same strategies that successful people used to get ahead.

These are the folks who live in the grand houses that you see when you drive down certain streets. They drive nice cars and dine at the best restaurants. They live their lives like absolute superstars.

Join business consultant John M. Hawkins, who learned long ago that the secret to success is building a strategic plan to get what you want. He provides a detailed road map so you can join the ranks of the most successful. You'll learn how to - build a smart, strategic plan; - take risks (and when to take them); - change the way you think about challenges; - maintain your focus and stick to your plan.

Follow in the footsteps of strategic thinkers and get exactly where you want to go. All you have to do is start thinking like a millionaire and say "yes" to success. It starts with "Building a Strategic Plan for Your Life and Business."

Enterprise Modeling: Improving Global Industrial Competitiveness gives an overview of the current state-of-the-art in enterprise modeling and its application. Enterprise modeling is both a concept and a tool that is highly developed at the research level, but which still promises many new industrial applications. Enterprise models constitute a theoretical basis for the information system in an enterprise and are regarded by many as a substantial opportunity to improve global industrial competitiveness. Enterprise Modeling: Improving Global Industrial Competitiveness gives the reader an understanding of enterprise modeling as a concept and provides examples of its application by describing some of the currently available tools. It is organized in five parts: overview and international trends, the basis of enterprise modeling, application areas, implementation, and industrial experience with enterprise modeling. Enterprise Modeling: Improving Global Industrial Competitiveness is useful to developers of business information systems, users of technical information systems, engineers within operations management, and engineers and economists dealing with performance assessment and improvement. Enterprise Modeling: Improving Global Industrial Competitiveness is suitable as a secondary text for a graduate level course, and as a reference for researchers and practitioners in industry.

This book presents the content of a year's course in decision processes for third and fourth year students given at the University of Toronto. A principal theme of the book is the relationship between normative and descriptive decision theory. The distinction between the two approaches is not clear to everyone, yet it is of great importance. Normative decision theory addresses itself to the question of how people ought to make decisions in various types of situations, if they wish to be regarded (or to regard themselves) as 'rational'. Descriptive decision theory purports to describe how people actually make decisions in a variety of situations. Normative decision theory is much more formalized than descriptive theory. Especially in its advanced branches, normative theory makes use of mathematicallanguage, mode of discourse, and concepts. For this reason, the definitions of terms encountered in normative decision theory are precise, and its deductions are rigorous. Like the terms and assertions of other branches of mathematics, those of mathematically formalized decision theory need not refer to anything in the 'real', i. e. the observable, world. The terms and assertions can be interpreted in the context of models of real li fe situations, but the verisimilitude of the models is not important. They are meant to capture only the essentials of adecision situation, which in reallife may be obscured by complex details and ambiguities. It is these details and ambiguities, however, that may be crucial in determining the outcomes of the decisions.

Search Theory is one of the original disciplines within the field of Operations Research. It deals with the problem faced by a Searcher who wishes to minimize the time required to find a hidden object, or "target. " The Searcher chooses a path in the "search space" and finds the target when he is sufficiently close to it. Traditionally, the target is assumed to have no motives of its own regarding when it is found; it is simply stationary and hidden according to a known distribution (e. g. , oil), or its motion is determined stochastically by known rules (e. g. , a fox in a forest). The problems dealt with in this book assume, on the contrary, that the "target" is an independent player of equal status to the Searcher, who cares about when he is found. We consider two possible motives of the target, and divide the book accordingly. Book I considers the zero-sum game that results when the target (here called the Hider) does not want to be found. Such problems have been called Search Games (with the "ze- sum" qualifier understood). Book II considers the opposite motive of the target, namely, that he wants to be found. In this case the Searcher and the Hider can be thought of as a team of agents (simply called Player I and Player II) with identical aims, and the coordination problem they jointly face is called the Rendezvous Search Problem.

Advances in Business and Management Forecasting presents state-of-the-art studies in the application of forecasting methodologies to suce areas as finance, economics, technology, and forecasting accuracy. Volume 11 is split into four sections which address Forecasting in Marketing and Sales, Forecasting in Health Care, Forecasting in Business and Economics, and Topics in Forecasting. A number of topics are examined including brand experience, hospital bed management, population growth and online information sharing.

Advanced communications and information technologies provide the basis for operational risk management. In order to support managers in real-time risk assessment and decision-making, the advanced technologies must be complemented by an appropriate reasoning logic. This book presents such a reasoning logic for operational risk management. Chapter 1 discusses the need for operational risk management and the feasibility of its use based upon advances in sensing, mobile communications, and satellite positioning technologies. Chapter II presents a reasoning logic for operational risk management that capitalizes upon these developments. Chapter III illustrates the integration of the reasoning logic in hypermedia, multimedia, and virtual reality systems, coupled with the capabilities provided by the Internet. Chapters IV-VI illustrate the realism of operational risk management for hazardous material transportation, emergency response, air raid command, and emergency response at a nuclear power generation facility. The book closes with an experimental assessment of the logic and associated decision aids in Chapter VII. Audience: Researchers, who will find the most recent advances in operational risk management with experimental assessments. Practitioners, who are provided with a detailed description of operational risk management and the latest advances in information and communications technologies to implement this new approach for managing risks in operational settings, such as transportation of hazardous materials and emergency response. Students, who will learn the basic concepts in theory and practice of building models for decision and risk analysis, and embedding them into commercial software as decision support systems.

Perspectives in Life Cycle Impact Assessment: A Structured Approach to Combine Models of the Technosphere, Ecosphere and Valuesphere describes the relationship between subjective and objective elements in Life Cycle Impact Assessment. It suggests a new framework which will allow people to master two of the major problems associated with LCA, the difficulty of separating subjective from objective elements and the tendency for impact assessment to record phantoms' rather than actual damages. Perspectives in Life Cycle Impact Assessment: A Structured Approach to Combine Models of the Technosphere, Ecosphere and Valuesphere presents a proposal for a second generation framework and method for Life Cycle Impact Assessment. Many of the suggested elements are either based on other tools for environmental analysis, e.g. risk assessment, or fit in well with tools and concepts such as industrial ecology, technology assessment, or environmental impact assessment. The research presented in this book goes beyond the scope of presently used methods for Life Cycle Assessment and may stimulate new developments in a variety of areas. The book will appeal to persons from a wide range of scientific disciplines who are interested in learning more about Life Cycle Assessment. It will be especially valuable to members of SETAC and to students and researchers in the fields of environmental impact assessment, risk assessment and industrial ecology.

A central problem of prescriptive decision making is the mismatch between the elegant formal models of decision theory and the less elegant, informal thinking of decision makers, especially when dealing with ill-structured situations. This problem has been a central concern of the authors and their colleagues over the past two decades. They have wisely (to my mind) realized that any viable solution must be informed by a deep understanding of both the structural properties of alternative formalisms and the cognitive demands that they impose on decision makers. Considering the two in parallel reduces the risk of forcing decision makers to say things and endorse models that they do not really understand. It opens the door for creative solutions, incorporating insights from both decision theory and cognitive psychology. It is this opportunity that the authors have so ably exploited in this important book. Under the pressures of an interview situation, people will often answer a question that is put to them. Thus, they may be willing to provide a decision consultant with probability and utility assessments for all manner of things. However, if they do not fully understand the implications of what they are saying and the use to which it will be put, then they cannot maintain cognitive mastery of the decision models intended to represent their beliefs and interests.

The professional services market is under continuous pressure to change. Some firms have responded well, many have tried and failed. Professionals are trained to analyze and debate, rather than decide and act. Implementation and speed of response within professional firms remains a key problem. While there are many management books focusing on strategic change, few tackle change in the context of professionals. This book provides practical tools and techniques to harness the intellect and energy of professionals and achieve buy-in and commitment to change in their firms.

Problems with multiple objectives and criteria are generally known as multiple criteria optimization or multiple criteria decision-making (MCDM) problems. So far, these types of problems have typically been modelled and solved by means of linear programming. However, many real-life phenomena are of a nonlinear nature, which is why we need tools for nonlinear programming capable of handling several conflicting or incommensurable objectives. In this case, methods of traditional single objective optimization and linear programming are not enough; we need new ways of thinking, new concepts, and new methods - nonlinear multiobjective optimization. Nonlinear Multiobjective Optimization provides an extensive, up-to-date, self-contained and consistent survey, review of the literature and of the state of the art on nonlinear (deterministic) multiobjective optimization, its methods, its theory and its background. The amount of literature on multiobjective optimization is immense. The treatment in this book is based on approximately 1500 publications in English printed mainly after the year 1980. Problems related to real-life applications often contain irregularities and nonsmoothnesses. The treatment of nondifferentiable multiobjective optimization in the literature is rather rare. For this reason, this book contains material about the possibilities, background, theory and methods of nondifferentiable multiobjective optimization as well. This book is intended for both researchers and students in the areas of (applied) mathematics, engineering, economics, operations research and management science; it is meant for both professionals and practitioners in many different fields of application. The intention has been to provide a consistent summary that may help in selecting an appropriate method for the problem to be solved. It is hoped the extensive bibliography will be of value to researchers.

Experts from academia and government who are actively engaged in research in the area of risk communication present a compendium of cases that give information and allow the development of strategies to improve the communication of scientific information to the public. The cases span Western, Central and Eastern Europe, covering such areas as nuclear waste, heavy metal contamination, landfill siting, risk perception, global warming, international health for all, and more. The conclusions and recommendations presented here are being used to develop future activities to further explore this area of risk communication as an international study. Audience: Scientists, risk communicators, psychologists, toxicologists, health professionals, and anyone who has an interest in public communication on scientific uncertainty.

Crisis events are increasingly common. Their impacts are greater--and they are more widely reported in the media--than ever before. They often symbolize tragedy and loss, but they are also the precipitating factors in radical, rapid, and frequently positive social change. Understanding the complex dynamics of these powerful events is imperative for both researchers and managers. Taking a broad view of organizational crisis, the authors synthesize a rich and diverse body of theory, research, and practice and apply it to every kind of crisis imaginable, from oil spills to nuclear disasters, airplane crashes, shuttle explosions, and corporate implosions such as Enron. The "organization" can be anything from a company to a federal bureaucracy or society. Organizational crisis is presented as a natural stage in organizational evolution, creating not only stress and threats but also opportunities for growth and development. Communication is viewed as the pivotal process in the creation and maintenance of organization, and its role is examined here at every stage, from incubation to avoidance, crisis management, and recovery. Researchers, crisis managers, and communications managers will find a wealth of applied theoretical orientations, including chaos theory, sensemaking, organizational learning theory, and more.

In this book leading scholars debate current issues and shed light on future prospects in the field of Knowledge Management. It presents new perspectives on knowledge and learning, including modes of knowing in practice, transactive knowledge systems, organizational narrations, and challenges conventional wisdom. It deals with emerging issues in knowledge and innovation embracing models of distributed innovation and forms of co-operation. It also includes problems in managing knowledge, leadership issues and how to measure knowledge.

ACKNOWLEDGEMENTS PART 1 FISH CONSUMPTION AND METHYLMERCURY EXPOSURE IN THE AMAZON A. C. BARBOSA, A. M. GARCIA, J. R. DESOUZAI Mercurycontamination inhairofriverine 1-8 populations of Apiacas Reserve in the Brazilian Amazon E. D. BIDONE, Z. C. CASTILHOS, T. J. S. SANTOS, T. M. C. SOUZA and L. D. LACERDA I Fish contamination and human exposure to mercury in Tartarugalzinho River, Amapa State, Northern Amazon, Brazil. A screening approach 9-15 H. A. KEHRIG, O. MALM and H. AKAGI I Methylmercury in hair samples from different riverine groups, Amazon, Brazil 17-29 J. LEBEL, M. ROULET, D. MERGLER, M. LUCOTTE and F. LARRIBE I Fish diet and 31-44 mercury exposure in a riparian Amazonian population O. MALM. , J. R. D. GUIMARAES, M. B. CASTRO, W. R. BASTOS, J. P. VIANA, F. J. P. BRANCHES, E. G. SILVEIRA and W. C. PFEIFFER I Follow-up of mercury levels in fish, human hairand urine in the Madeira and Tapaj6s basins, Amazon, Brazil 45-51 PART 2 CHILD DEVELOPMENT AND LONG TERM EXPOSURE G. J. MYERS, P. W. DAVIDSON, C. COX, C. F. SHAMLAYE, O. CHOISY, E. CERNICHIARI, A. CHOI, J. SLOANE-REEVES, C. AXTELL, P. GAO and T. W. CLARKSON I The Seychelles child development study: Results and new directions through twenty-nine months 53-61 B. WHEATLEY, S. PARADIS, M. LASSONDE, M. -F. GIGUERE and S.

While executives are keen to harness organizational knowledge and improve business performance, the topic of how academics can produce rigorous and relevant theory in working relationships with practitioners is a much contested topic. Many aspects of this knowledge co-creation can create tensions, and the ways in which research is conducted and published can affect practitioner acceptance, as well as its consequent uptake and use in different contexts. Expertly compiled by Jean Bartunek and Jane McKenzie, with contributions from global thinkers in the field, this book offers a concise and up-to-date review of the essential analysis and action underlying scholarly engagement with the world of business. It discusses the sorts of capabilities academics need to collaborate effectively with practitioners and illustrates good practice through international case studies drawn from acknowledged centres of excellence. These show how to negotiate different constituencies with different priorities, values, and practices to work together to produce research of rigor and relevance. It will be a key reference and resource for all researchers who are engaged with practitioners, and an invaluable tool for training academics to develop research with impact.

Industrial development is essential to improvement of the standard of living in all countries. People's health and the environment can be affected, directly or indirectly by routine waste discharges or by accidents. A series of recent major industrial accidents and the effect of pollution highlighted, once again, the need for better management of routine and accidental risks. Moreover, the existence of natural hazards complicate even more the situation in any given region. In the past effort to cope with these risks, if made at all, have been largely on a plant by plant basis; some plants are well equipped to manage environmental and health hazards, while others are not. Managing the hazards of modern technological systems has become a key activity in highly industrialised countries. Decision makers are often confronted with complex issues concerning economic and social development, industrialisation and associated infrastructure needs, population and land use planning. Such issues have to be addressed in such a way that ensures that public health will not be disrupted or substantially degraded. Due to the increasing complexity of technological systems and the higher geographical density of punctual hazard sources, new methodologies and a novel approach to these problems are challenging risk managers and regional planers. Risks from these new complex technological systems are inherently different form those addressed by the risk managers for decades ago.

Security risk assessment and related control mechanisms are management tools that will fail in their purpose if they are too complex, too bureaucratic or insufficiently focused. Security Risk Assessment and Control presents a comprehensive risk model together with worked examples, helpful tips and blank proformas and forms. Written in a clear, easily digestible style, it also comprises a useful aide-memoire relevant to more experienced security professionals.