This book looks at the social aspects of how virtual and geographically dispersed groups work together using information and communication tools (groupware). It introduces the basic concepts and brings together ideas from various disciplines to provide an integrated approach to the evaluation and design of groupware technology. Key topics include: =B7 Why some collaboration technologies succeed and others fail =B7 The conditions needed for successful distributed collaboration =B7 How to take a systematic, user-oriented, design-related approach to the evaluation of computer supported collaboration Primarily intended for undergraduate and postgraduate students studying Information and Communication Technology, Human-Computer Interaction, Communication Sciences, Human Factors, Interface Design and Multimedia Systems, this book will also be of interest to researchers, practitioners and lecturers in social and organisational sciences.

The book discusses a new approach to the classification problem following the decision support orientation of multicriteria decision aid. The book reviews the existing research on the development of classification methods, investigating the corresponding model development procedures, and providing a thorough analysis of their performance both in experimental situations and real-world problems from the field of finance.
Audience: Researchers and professionals working in management science, decision analysis, operations research, financial/banking analysis, economics, statistics, computer science, as well as graduate students in management science and operations research.

Knowledge Management and Organizational Memories presents models, methods, and techniques for building, managing and using corporate memories. These models incorporate knowledge bases, ontologies, documents, FAQs, workflow systems, case-based reasoning systems, multi-agent systems, and CSCW. The book is divided into five parts: methods; knowledge-based approaches; ontologies and documents; case-based reasoning approaches; and distributed and collaborative approaches.

Risk Management and Business Continuity are essential for the competitive capacity of any international corporation. The temporary unavailability of technology and services can endanger the existence of any company. It is cruical to develop an international strategy to deal with these problems. This book provides theoretical analysis and practical solutions on these topics.

The book focuses on applications of belief functions to business decisions. Section I introduces the intuitive, conceptual and historical development of belief functions. Three different interpretations (the marginally correct approximation, the qualitative model, and the quantitative model) of belief functions are investigated, and rough set theory and structured query language (SQL) are used to express belief function semantics. Section II presents applications of belief functions in information systems and auditing. Included are discussions on how a belief-function framework provides a more efficient and effective audit methodology and also the appropriateness of belief functions to represent uncertainties in audit evidence. The third section deals with applications of belief functions to mergers and acquisitions; financial analysis of engineering enterprises; forecast demand for mobile satellite services; modeling financial portfolios; and economics.

This best selling management book is a true classic. If you want to be a model manager, keep this new, even better 3rd edition close at hand. Key Management Models has the winning combination of brevity and clarity, giving you short, practical overviews of the top classic and cutting edge management models in an easy-to-use, ready reference format. Whether you want to remind yourself about models you've already come across, or want to find new ones, you'll find yourself referring back to it again and again. It's the essential guide to all the management models you'll ever need to know about. Includes the classic and essential management models from the previous 2 editions. Thoroughly updated to include cutting edge new models. Two-colour illustrations and case studies throughout.

This is a book in which successful, experienced IT solutions providers talk about their actual practical experiences in IT risk management. Tony Moynihan has asked successful IS/IT project managers to compare and contrast their recent projects in terms of the various important and different factors they had to deal with in each project. Coping with IS/IT Risk Management discusses how to:- handle unrealistic client expectations; - decide on the 'ownership' of a project; - set targets that work in practice! The result is a very well-written, interesting book, which will be enormously helpful to any professional needing to cope with the many and varied problems which can be encountered in IS/IT risk management. About the Author: Tony Moynihan is a Professor at the School of Computer Applications at Dublin City University, researching in the field of software engineering and software project risk-analysis. "This is probably one of the most real, useful, and entertaining books I have ever read on project management."(Robert L Glass, Editor, The Software Practitioner)"In my opinion, this book contains great practical advice to IS/IT project managers, based on the experience of other IT project managers. Tony succeeds in getting project managers to talk about their projects and the associated risks. He then distils these candid interviews into practical advice for other IS/IT project managers." (Nancy Mead, SEI, Carnegie-Mellon University, USA) "A useful book for any project manager to use and to reflect on, as they undertake their day-to-day activities." (Robert Cochran, Director, Centre for Software Engineering, Dublin)

This book offers an advanced introduction to the models of credit risk valuation. It concentrates on firm-value and reduced-form approaches and their applications in practice. Additionally, the book includes new models for valuing derivative securities with credit risk, focussing on options and forward contracts subject to counterparty default risk, but also treating options on credit-risky bonds and credit derivatives. The text provides detailed descriptions of the state-of-the-art martingale methods and advanced numerical implementations based on multi-variate trees used to price derivative credit risk. Numerical examples illustrate the effects of credit risk on the prices of financial derivatives.

In the fast moving world of the fourth industrial revolution not everyone needs to be a data scientist but everyone should be data literate, with the ability to read, analyze and communicate with data. It is not enough for a business to have the best data if those using it don't understand the right questions to ask or how to use the information generated to make decisions. Be Data Literate is the essential guide to developing the curiosity, creativity and critical thinking necessary to make anyone data literate, without retraining as a data scientist or statistician. With learnings to show development and real-world examples from industries implementing data literacy skills, this book explains how to confidently read and speak the 'language of data' in the modern business environment and everyday life. Be Data Literate is a practical guide to understanding the four levels of analytics, how to analyze data and the key steps to making smarter, data-informed decisions. Written by a founding pioneer and worldwide leading expert on data literacy, this book empowers professionals with the skills they need to succeed in the digital world.

Decision & Control in Management Science analyzes emerging decision problems in the management and engineering sciences. It is divided into five parts. The first part explores methodological issues involved in the optimization of deterministic and stochastic dynamical systems. The second part describes approaches to the model energy and environmental systems and draws policy implications related to the mitigation of pollutants. The third part applies quantitative techniques to problems in finance and economics, such as hedging of options, inflation targeting, and equilibrium asset pricing. The fourth part considers a series of problems in production systems. Optimization methods are put forward to provide optimal policies in areas such as inventory management, transfer-line, flow-shop and other industrial problems. The last part covers game theory. Chapters range from theoretical issues to applications in politics and interactions in franchising systems. Decision & Control in Management Science is an excellent reference covering methodological issues and applications in operations research, optimal control, and dynamic games.

Aiding Decisions With Multiple Criteria: Essays in Honor of Bernard Roy is organized around two broad themes: * Graph Theory with path-breaking contributions on the theory of flows in networks and project scheduling, * Multiple Criteria Decision Aiding with the invention of the family of ELECTRE methods and methodological contribution to decision-aiding which lead to the creation of Multi-Criteria Decision Analysis (MCDA). Professor Bernard Roy has had considerable influence on the development of these two broad areas. GBP/LISTGBP Part one contains papers by Jacques Lesourne, and Dominique de Werra & Pierre Hansen related to the early career of Bernard Roy when he developed many new techniques and concepts in Graph Theory in order to cope with complex real-world problems. Part two of the book is devoted to Philosophy and Epistemology of Decision-Aiding with contributions from Valerie Belton & Jacques Pictet and Jean-Luis Genard & Marc Pirlot. Part three includes contributions based on Theory and Methodology of Multi-Criteria Decision-Aiding based on a general framework for conjoint measurement that allows intrasitive preferences. Denis Bouyssou & Marc Pirlot; Alexis Tsoukias, Patrice Perny & Philippe Vincke; Luis Dias & Joao Climaco; Daniel Vanderpooten; Michael Doumpos & Constantin Zopounidis; and Marc Roubens offer a considerable range of examinations of this aspect of MCDA. Part four is devoted to Perference Modeling with contributions from Peter Fishburn; Salvatore Greco, Benedetto Matarazzo & Roman Slowinski; Salem Benferhat, Didier Dubois & Henri Prade; Oscar Franzese & Mark McCord; Bertrand Munier; and Raymond Bisdorff. Part five groups Applications of Multi-Criteria Decision-Aiding, and Carlos Henggeler Antunes, Carla Oliveira & Joao Climaco; Carlos Bana e Costa, Manuel da Costa-Lobo, Isabel Ramos & Jean-Claude Vansnick; Yannis Siskos & Evangelos Grigoroudis; Jean-Pierre Brans, Pierre Kunsch & Bertrand Mareschal offer a wide variety of application problems. Finally, Part six includes contributions on Multi-Objective Mathematical Programming from Jacques Teghem, Walter Habenicht and Pekka Korhonen.

Risk Analysis: Foundations, Models, and Methods fully addresses the questions of "What is health risk analysis?" and "How can its potentialities be developed to be most valuable to public health decision-makers and other health risk managers?" Risk analysis provides methods and principles for answering these questions. It is divided into methods for assessing, communicating, and managing health risks. Risk assessment quantitatively estimates the health risks to individuals and to groups from hazardous exposures and from the decisions or activities that create them. It applies specialized models and methods to quantify likely exposures and their resulting health risks. Its goal is to produce information to improve decisions. It does this by relating alternative decisions to their probable consequences and by identifying those decisions that make preferred outcomes more likely. Health risk assessment draws on explicit engineering, biomathematical, and statistical consequence models to describe or simulate the causal relations between actions and their probable effects on health. Risk communication characterizes and presents information about health risks and uncertainties to decision-makers and stakeholders. Risk management applies principles for choosing among alternative decision alternatives or actions that affect exposure, health risks, or their consequences.

Very often, we associate the dawn of modern financial theory with Harry Markowitz who in the 1950s introduced the formal mathematics of probability theory to the problem of managing risk in an asset portfolio. The 1970s saw the advent of formal models for pricing options and other derivative contracts, whose primary purpose was also financial risk management and hedging. But events in the 1990s made it clear that effective risk management is a critical element for success, and indeed, for long term survival, not only for financial institutions, but also for industrial firms, and even for nonprofit organizations and governmental bodies. These recent events vividly show that the world is filled with all manner of risks, and so risk management must extend far beyond the use of standard derivative instruments in routine hedging applications. The articles in this volume cover two broad themes. One theme emphasizes methods for identifying, modeling, and hedging specific types of financial and business risks. Articles in this category consider the technology of risk measurement, such as Value at Risk and extreme value theory; new classes of risk, such as liquidity risk; new financial instruments and markets for risk management, such as derivative contracts based on weather and on catastrophic insurance risks; and finally, credit risk, which has become one of the most important areas of practical interest for risk management. The second theme stresses risk management from the perspective of the firm and the financial system as a whole. Articles in this category analyze risk management in the international arena, including payment and settlement risks and sovereign risk pricing, risk management from the regulator's viewpoint, and risk management for financial institutions. The articles in this volume examine the "State of the Art" in risk management from the standpoint of academic researchers, market analysts and practitioners, and government observers.

Business modelling is a vast arena of research and practice, which is gaining increasing important in the rapid development of e-commerce, globalization, and in particular, the movement toward global e-business. The ability to utilize advanced computing technology to model, analyse and simulate various aspects of ever-changing businesses has made a significant impact on the way businesses are designed and run these days. With the current global e-business and e-commerce initiatives, it has become important that all businesses carefully validate their business objectives, requirements, and strategies through a careful process of formal business modelling. It is important for effective enterprise decision making to have clear, concise business models that allow the extraction of critical value from business processes and specify the rules to be globally enforced. Particularly in e-business specifications, the need to be unambiguous, accurate, and complete becomes even greater, because there may be no human mediator or agent to rely on in complex or unforeseen situations. Business Modelling: Multidisciplinary Approaches - Economics, Operational, and Information Systems Perspectives, arranged in three parts, brings scholarly perspectives from various disciplines to bear on some of the critical aspects of business modeling. The first part (chapters 1-8) focuses on business modelling fundamentals and starts with a series of economics and operations research perspectives. The second part (chapters 9-19) concentrates on modelling in electronic businesses and focuses on Management Information Systems and Decision Support Systems. The third part (chapters 20-22) centers on multidisciplinary business modelling progress, in particular on the seminal work of Professor Andrew B. Whinston.

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.

The US Department of Commerce estimates that nearly 10% of the US's $9 trillion GDP is exposed to weather risk. All over the world providers and end users are recognizing this fact and are turning their attention to ways of protecting against or taking advantage of changes in the weather. This book explores a market that is expected to expand rapidly and is one of the fastest areas of growth in the financial arena.

Managing environmental contamination requires decision makers to weigh eXlstmg risks against the potential effects of implementing environmental policies - considering both the benefits and disruptions that may result from different actions. The NATO Advanced Research Workshop in Lisbon was an important step in the development and application of cost efficient methods of risk assessment especiaIly within the constraints of a budget. The goal of the workshop was to evaluate the potential for risk assessment to serve as a unified and unifying technique in addressing a wide range of environmental problems. Papers presented in this book discuss issues ranging from specific and local studies (specific site, ecosystem, pollutant) to global decision and management frameworks (watersheds, regions, integration of multiple poIlutants and stressors); they develop a range of approaches starting from specific methods to widely applied public policies (Figure 1). The papers show that the use of risk assessment can provide the scientific basis for environmentaIly sound and cost-efficient policies, strategies, and solutions to our environmental chaIlenges. The organization of the Proceedings reflects sessions and discussions during the workshop. The papers in the introductory Chapter summarize the positions of Drs. Glenn Suter (EPA) and Jim Wilson (Resources for the Future) regarding whether the use of often-expensive risk assessments in developing countries can be justified, given evolving regulatory institutions and limited resources.

The field of multiple criteria decision analysis (MCDA), also termed multiple criteria decision aid, or multiple criteria decision making (MCDM), has developed rapidly over the past quarter century and in the process a number of divergent schools of thought have emerged. This can make it difficult for a new entrant into the field to develop a comprehensive appreciation of the range of tools and approaches which are available to assist decision makers in dealing with the ever-present difficulties of seeking compromise or consensus between conflicting inter ests and goals, i.e. the "multiple criteria." The diversity of philosophies and models makes it equally difficult for potential users of MCDA, i.e. management scientists and/or decision makers facing problems involving conflicting goals, to gain a clear understanding of which methodologies are appropriate to their particular context. Our intention in writing this book has been to provide a compre hensive yet widely accessible overview of the main streams of thought within MCDA. We aim to provide readers with sufficient awareness of the underlying philosophies and theories, understanding of the practi cal details of the methods, and insight into practice to enable them to implement any of the approaches in an informed manner. As the title of the book indicates, our emphasis is on developing an integrated view of MCDA, which we perceive to incorporate both integration of differ ent schools of thought within MCDA, and integration of MCDA with broader management theory, science and practice."

Managing environmental contamination requires decision makers to weigh eXlstmg risks against the potential effects of implementing environmental policies - considering both the benefits and disruptions that may result from different actions. The NATO Advanced Research Workshop in Lisbon was an important step in the development and application of cost efficient methods of risk assessment especiaIly within the constraints of a budget. The goal of the workshop was to evaluate the potential for risk assessment to serve as a unified and unifying technique in addressing a wide range of environmental problems. Papers presented in this book discuss issues ranging from specific and local studies (specific site, ecosystem, pollutant) to global decision and management frameworks (watersheds, regions, integration of multiple poIlutants and stressors); they develop a range of approaches starting from specific methods to widely applied public policies (Figure 1). The papers show that the use of risk assessment can provide the scientific basis for environmentaIly sound and cost-efficient policies, strategies, and solutions to our environmental chaIlenges. The organization of the Proceedings reflects sessions and discussions during the workshop. The papers in the introductory Chapter summarize the positions of Drs. Glenn Suter (EPA) and Jim Wilson (Resources for the Future) regarding whether the use of often-expensive risk assessments in developing countries can be justified, given evolving regulatory institutions and limited resources.

Operational risk is one of the oldest risks in the banking sector, and yet regulatory bodies including the Basle Committee are still working on a regulatory framework. Damage control measures introduced by banks have often proved ineffective. The successful management of operational risk will be a significant competitive advantage for banks in the future. This book is a practical guide to achieving control of operational risk. Using qualitative analysis, the author suggests risk identification procedures and provides tools for the analysis, quantification, and management of risk. He goes on to discuss future developments in both the regulatory and insurance sectors, including the most recent Basle Committee proposals.

Verna Allee, whose groundbreaking book 'The Knowledge Evolution' helped usher in the exploding field of knowledge management, has brought her experience-tested insights into an exciting new synthesis, penetrating to the very heart of value creation. 'The Future of Knowledge' strips away traditional business thinking to reveal the new patterns of management thought and practice essential for success in a more complex world.
With a gift for making the complex simple and practical, Allee weaves together diverse threads such as business webs, communities of practice, knowledge technologies, intangibles, network analysis, and biology to show why organizations must be supported as living systems before their natural networked pattern of organization can emerge.
Embodying Allee's visionary approach, 'The Future of Knowledge' brings forward a practical view of new theories, frameworks, tools, and methods offering businesses a guide to managing the increasing levels of complexity within their organizations and in society at large.
'The Future of Knowledge' works on many levels:
* At the strategic level, the new tools are intangible scorecards and understanding value networks
* At the tactical level, the knowledge management tools for exchanging and applying knowledge are knowledge networks and communities of practice
* At the operational level, a wealth of new technologies is supporting the codification, storage and delivery of the knowledge people need to complete their routine tasks.
* Leading expert takes us to the next stage of
value creation in business
* Provides the next step in creating a framework and a tool to manage intangible assets to build highperoformance in the knowledge-based economy
* Author of the bestselling 'The Knowledge Evolution'

Many decision-making tasks are too complex to be understood quantitatively, however, humans succeed by using knowledge that is imprecise rather than precise. Fuzzy logic resembles human reasoning in its use of imprecise informa tion to generate decisions. Unlike classical logic which requires a deep under standing of a system, exact equations, and precise numeric values, fuzzy logic incorporates an alternative way of thinking, which allows modeling complex systems using a higher level of abstraction originating from our knowledge and experience. Fuzzy logic allows expressing this knowledge with subjective concepts such as very big and a long time which are mapped into exact numeric ranges. Since knowledge can be expressed in a more natural by using fuzzy sets, many decision (and engineering) problems can be greatly simplified. Fuzzy logic provides an inference morphology that enables approximate human reasoning capabilities to be applied to knowledge-based systems. The theory of fuzzy logic provides a mathematical strength to capture the un certainties associated with human cognitive processes, such as thinking and reasoning. The conventional approaches to knowledge representation lack the means for representating the meaning of fuzzy concepts. As a consequence, the approaches based on first order logic do not provide an appropriate con ceptual framework for dealing with the representation of commonsense knowl edge, since such knowledge is by its nature both lexically imprecise and non categorical."

'The New Knowledge Management' is the story of the birth of "second-generation knowledge management," told from the perspective of one its chief architects, Mark W. McElroy. Unlike its first-generation cousin, second-generation Knowledge Management seeks to enhance knowledge production, not just knowledge sharing. As a result, 'The New Knowledge Management' expands the overall reach of knowledge management to include "innovation management" for the very first time.
'The New Knowledge Management' introduces the concept of "second-generation knowledge management" to the business community. Mark W. McElroy has assembled a collection of his own essays, written over the past four years, chronicling the development of related thinking in the field.
Unlike first-generation KM, mainly focusing on value derived from knowledge sharing, second-generation thinking formally adds knowledge making to the scope of KM. In this way second-generation KM expands the overall reach of KM to include "innovation management" for the very first time. 'The New Knowledge Management' finally begins to bridge the gap between KM and the field of organizational learning, which up until now have been viewed as miles apart.
* Charts the next generation of knowledge management thinking by the President of KMCI: the leading KM organization
* Expands the overall reach of knowledge management to include "innovation management" for the very first time
* Mark W. McElroy, chief architect of second-generation Knowledge Management, shares his vast experience in a collection of his own essays

This long-awaited textbook provides a unified perspective of a rich and varied field. It recognises that in order to develop strategies for improving the decision-making process one needs to understand how decisions are made in practice and in what ways behaviour differs from guidelines implied by normative theories of choice. It is the interplay between descriptive, normative, and prescriptive analysis that gives this book a special flavour. Using a set of illustrative examples, Decision Sciences synthesises current research about different types of decision making, including individual, group, organisational, and societal. Special attention is given to the linkage between problem finding and problem solving. The principal message emerging from the book is that decision making entails a complex set of processes that need to be understood in order to develop sound prescriptions or policy advice.

The volume contains 43 (out of 185) papers that were presented at the 15th International Conference on Multiple Criteria Decision Making held in Ankara, Turkey July 10-14, 2000. The conference was one of the regular conferences of the International Society on Multiple Criteria Decision Making, which are held at approximately two-year intervals. The Ankara conference had 195 participants from 38 countries. The volume covers all relevant aspects of the field and presents the latest research results on MCDM.