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 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.

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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 provides a practice-driven, yet rigorous approach to executive management decision-making that performs well even under unpredictable conditions. It explains how executives can employ prescribed engineering design methods to arrive at robust outcomes even when faced with uncontrollable uncertainty. The book presents the paradigm and its main principles in Part I; in Part II it illustrates how to frame a decision situation and how to design the decision so that it will produce its intended behavior. In turn, Part III discusses in detail in situ case studies on executive management decisions. Lastly, Part IV summarizes the book and formulates the key lessons learned.

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.

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.

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.

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.

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.

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.

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.

Servant Leader Human Resource Management provides a comprehensive conceptual framework based on a dignity enhancing stewardship model that integrates and balances mission achievement with motive, means and ends integrity from both a line manager and human resource department perspective.

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.

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.

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.

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.

Progress in collaborative networks continues showing a growing number of manifestations and has led to the acceptance of Collaborative Networks (CN) as a new scientific discipline. Contributions to CN coming from multiple reference disciplines has been extensively investigated. In fact developments in CN have benefited from contributions of multiple areas, namely computer science, computer engineering, communications and networking, management, economy, social sciences, law and ethics, etc. Furthermore, some theories and paradigms defined elsewhere have been suggested by several research groups as promising tools to help define and characterize emerging collaborative organizational forms. Although still at the beginning of a long way to go, there is a growing awareness in the research and academic world, for the need to establish a stronger theoretical foundation for this new discipline and a number of recent works are contributing to this goal. From a utilitarian perspective, agility has been pointed out as one of the most appealing characteristics of collaborative networks to face the challenges of a fast changing socio-economic context. However, during the last years it became more evident that finding the right partners and establishing the necessary preconditions for starting an effective collaboration process are both costly and time consuming activities, and therefore an inhibitor of the aimed agility. Among others, obstacles include lack of information (e.g. non-availability of catalogs with normalized profiles of organizations) and lack of preparedness of organizations to join the collaborative process. Overcoming the mismatches resulting from the heterogeneity of potential partners (e.g. differences in infrastructures, corporate culture, methods of work, and business practices) requires considerable investment. Building trust, a pre-requisite for any effective collaboration, is not straight forward and requires time. Therefore the effective creation of truly dynamic collaborative networks requires a proper context in which potential members are prepared to rapidly get engaged in collaborative processes. The concept of breeding environment has thus emerged as an important facilitator for wider dissemination of collaborative networks and their practical materialization. The PRO-VE'05 held in Valencia, Spain, continues the 6th event in a series of successful working conferences on virtual enterprises. This book includes selected papers from that conference and should become a valuable tool to all of those interested in the advances and challenges of collaborative networks.

Discover how to Be Decisive - Now! This 2-in-1 guide is designed to help you become a more effective decision maker in an instant, whilst giving you the deeper knowledge to ensure long-lasting results. With the unique 2-in-1 approach, you can learn your way. Use the seven Speed Read tips immediately, then take your time exploring the Big Picture chapters. * Make the right decisions quickly and effectively * Understand the problem properly and work out your priorities * Ensure your decision is the right one and avoid the common mistakes * Know the value of risk planning and how to do it successfully * Look back to learn lessons on better decisions next time As an ambitious manager, you need the right information at the right time to help you advance in your career. The 2-in-1 Manager will ensure you improve and succeed in business, right now and in the future.

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.

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.

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After all the research on agricultural risk to date, the treatment of risk in agricultural research is far from harmonious. Many competing risk models have been proposed. Some new methodologies are largely untested. Some of the leading empirical methodologies in agricultural economic research are poorly suited for problems with aggregate data where risk averse behavior is less likely to be important. This book is intended to (i) define the current state of the literature on agricultural risk research, (ii) provide a critical evaluation of economic risk research on agriculture to date and (iii) set a research agenda that will meet future needs and prospects. This type of research promises to become of increasing importance because agricultural policy in the United States and elsewhere has decidedly shifted from explicit income support objectives to risk-related motivations of helping farmers deal with risk. Beginning with the 1996 Farm Bill, the primary set of policy instruments from U.S. agriculture has shifted from target prices and set aside acreage to agricultural crop insurance. Because this book is intended to have specific implications for U.S. agricultural policy, it has a decidedly domestic scope, but clearly many of the issues have application abroad. For each of the papers and topics included in this volume, individuals have been selected to give the strongest and broadest possible treatment of each facet of the problem. The result is this comprehensive reference book on the economics of agricultural risk.