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Computer programs that simulate complex processes in the real world can provide a quantitative tool for determining how much debt can be added safely to a company's capital structure. The increasing number of bankruptcies and defaults in today's international business arena result from debt overload and point to major shortcomings in the conventional financial evaluation process. In this book, Roy L. Nersesian describes why current methods of risk management fail and how computer simulation can be employed to determine the safe level of debt more accurately. Because the decision to add debt to an organization requires favorable, and essentially independent, decisions from both the borrower and lender, it is necessary to quantify both perspectives. Through actual examples readers will learn how to do this and to translate an actual business situation into a simulation model or program. Current evaluation systems, according to Nersesian, fail to incorporate the cyclical nature of business activity. They result all too often in an overly optimistic projection of cash flow. Simulation techniques are better able to incorporate the transience of good times and put quantitative analysis of risk on par with quantitative analysis of reward. Simulation techniques also reduce the role of speculative, and highly subjective, judgment. For example, decisionmakers who are not familiar personally with a particular business area, assign more risk to that area than those who are. A quantified risk management system enables executives to rank projects by the degree of risk much as they currently rank them by degree of profitability. The book presents the concept of simulation in terms that can be understood by generalists in corporations and financial institutions. At the same time, it provides computer programmers with an understanding of risk management principles. It will provide a valuable resource for: financial executives, planners and strategists in corporate and governmental organizations; bank lending officers; and computer programmers working with these organizations.
Communication networks and computer systems research is entering a new phase in which many of the established models and techniques of the last twenty years are being challenged. The research community is continuing to free itself from past intellectual constraints so that it may fully exploit the convergence of computing and communications. Evaluating the performance of emerging communications and computer systems constitutes a huge challenge. Thus, current research provides a set of heterogeneous tools and techniques embracing the uncertainties of time and space varying environments when the requests for diverse services are made in real time, and with very different quality of service expectations.These novel techniques will lead to fast and economic service deployment and effective dynamic resource management, and hence to new business strategies and infrastructures that will facilitate the emergence of future services and applications.This volume contains contributions and presentations made by leading international researchers at a workshop which was held in April 2004 to honour Professor Erol Gelenbe on the occasion of his inaugural lecture as the Dennis Gabor Chair at Imperial College London.
"The Encyclopedia of Microcomputers serves as the ideal companion reference to the popular Encyclopedia of Computer Science and Technology. Now in its 10th year of publication, this timely reference work details the broad spectrum of microcomputer technology, including microcomputer history; explains and illustrates the use of microcomputers throughout academe, business, government, and society in general; and assesses the future impact of this rapidly changing technology."
This updated and revised edition offers a comprehensive overview of key research methods and the main choices available when undertaking research in business and management. New to this edition is a comprehensive, practical guide on how to write your dissertation - invaluable to all. It is a clear, concise and practical guide containing wealth of outstanding examples for each method covered. Central to this edition is the 'methods map' (chapter 4), which sets out a logical process for researchers to articulate their position in relation to five key aspects of their research philosophy. In addition, the editors have developed a free app to accompany the book and this enables novice researchers to quickly develop a comprehensive justification of their particular research design in an interactive way. Taking you through the entire life cycle of a dissertation, the text covers everything from the purposes of research through to chapters on gathering primary and secondary data; using literature; quantitative and qualitative research; managing your research; using data and research ethics. Individual chapters are allied to a powerful critical commentary showing how some of the world's leading scholars have used particular methods in their own research. Carefully constructed to achieve the greatest clarity for the student the text gives the reader: * In-text exercises * End of chapter' review questions with solutions * Exemplar papers identified and discussed for each of the main methods *Directed further reading for developing understanding in key areas It is an essential learning aid for upper level undergraduates and postgraduates across a wide range of business and management courses and it comes with a range of supported learning materials including tutorials, lecture slides and tutor notes. Kevin O'Gorman is Professor of Management and Business History and Head of Business Management in the School of Languages and Management in Heriot-Watt University, Edinburgh. He trained in Glasgow, Salamanca and Rome as a philosopher, theologian and historian. His research interests have a dual focus: Origins, history and cultural practices of hospitality, and philosophical, ethical and cultural underpinnings of contemporary management practices. Using a wide range of methodological approaches he has published over 80 journal articles, books, chapters, and conference papers in business and management studies. Robert MacIntosh is Professor of Strategy and Head of the School of Management and Languages at Heriot-Watt University. He trained as an engineer and has worked at the Universities of Glasgow and Strathclyde. His research on the ways in which top teams develop strategy and on organizational change has been published in a wide range of outlets. He has a long-standing interest in research methods for business and management studies and has published on the relevance of management research using methods that include ethnography and action research. He has consulted extensively with public and private sector organizations and sits on the board of the charity Turning Point Scotland.
A comprehensive guide to computer assisted exercises <p> Readers can turn to this indispensable reference guide for comprehensive and lucid coverage of the operational, technical, and organizational knowledge needed to harness successful and constructive computer assisted exercises (CAX) and war games. It is geared also toward large civilian organizations that are looking to teach and test their strategies and procedures without the added cost of manpower. Divided into two clear parts, the book covers: <ul> <li> <p> Fundamentals and Theory—conflict and warfare; probability and statistics; simulation; distributed simulation; and experimentation and analysis <li> <p> Combat Modeling, Computer Assisted Exercises, and Practice—CAX architectures; CAX process; combat modeling; CAX support tools; communications/information system issues, technical risks, and risk miti-gation; and exercise centers and facilities </ul> <p> Computer Assisted Exercises and Training: A Reference Guide is indispensable reading for research engineers, computer scientists, software engineers working with modeling and simulation, homeland security specialists, staff in simulation training centers, military strategists and commanders, and many others. It also serves as a valuable textbook for modeling and simulation courses at the upper-undergraduate and graduate levels. <p>
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