Book Description
Interorganizational collaboration is not an easy process to implement successfully, yet it is becoming a significant means of achieving organizational objectives in turbulent environments. Creating Collaborative Advantage draws on the work of authors with a high level of relevant experience, providing a thought-provoking and highly accessible introduction to this new concept. The book begins by developing a framework of key dimensions for understanding collaboration. It highlights the differing rationales and contexts involved and the range of elements that need to be explored before embarking on collaborative endeavors. Next, the volume focuses on collaboration in practice. It examines the problems that can occur when different aims, cultures, procedures, power resources, and professional languages cross organizational boundaries, paying close attention to the importance of creating and sustaining value for the participants in these contexts. Finally, the book addresses the processes of acting as facilitator to collaborative groups, discussing how and why a third-party facilitator role can be helpful, and exploring the various processes and techniques that can be used. Creating Collaborative Advantage is invaluable reading for students and professionals in strategic management, public sector management, management science and operations research, and general management.
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Selected from the prestigious 2006 International Conference on Knowledge Management held in Greenwich, London, this volume represents much of the best and most up-to-date work by researchers and practitioners in the field of knowledge management (KM). It covers a wide range of topics that include social network analysis, innovation and creativity, KM tools and technologies, social network technologies, collaboration and knowledge sharing, issues in KM education and training, knowledge discovery (data mining, data warehousing, intelligent agents), knowledge organization (meta data, taxonomies, ontology), and social and psychological dimensions.
Book Description
Widely hailed for its contemporary, cutting-edge perspective, this comprehensive, reader-friendly text covers the latest decision support theories and practices used by managers and organizations. Current examples and cases are drawn from actual organizations and firms. Decision Making, Systems, Modeling, and Support. Data Warehousing, Access, Analysis, Mining, and Visualization. Modeling and Analysis. Decision Support System Development. Collaborative Computing Technologies: Group Support Systems. Enterprise Decision Support Systems. Knowledge Management. Artificial Intelligence and Expert Systems. Knowledge Acquisition and Validation. Knowledge Representation. Inference Techniques. Intelligent Systems Development. Neural Computing Applications, and Advanced Artificial Intelligent Systems and Applications. Intelligent Software Agents and Creativity. Implementing and Integrating Management Support Systems. Organizational and Societal Impacts of Management Support Systems. For managers interested in Decision Support Systems, Computerized Decision Making, and Management Support Systems.
Customer Reviews:
Solid publication for DSS & IT Theory--Great research tool!.......2005-10-25
Not everyone will find this book as extremely useful as I did. The information contained within can be intimidating because of the sheer volume packed into its over 900 pages, but for someone wanting a foundation of Decision-support theory, this book should fulfill your need.
Each chapter provides an overview and a list of learning objectives that are adequately covered in greater detail. While theory lessons provide a necessary base for most students, this book successfully ties a "real-world" example to each chapter lesson that is not only relevant, but also includes associated links should the reader require more detail.
The book layout is fairly consistent with the more recent IT textbook publications that provide information with a short shelf-life (technological improvements being what they are today), but the illustrated concepts should be useful until the next revision is published.
The authors provide a wealth of references that are extremely useful for anyone interested in expanding their knowledge on any particular section or detail in the book. This provides a necessary trail for any research project.
The companion website (publisher) provides power point presentations that outline each chapter that were found useful for classroom utilization, however, a few details such as adding notes pages would have been greatly appreciated. Essentially, the material covered by these presentations proved more than adequate, although sometimes requiring a little digging in the textbook to provide enough detail (which I believe was the intent).
All in all this was an excellent book and a great research tool for anyone pursuing an education in IT.
Rambling book.......2005-10-18
This book could get away with about 2/3 the volume of content still be interesting. There really does not seem to be any structure to the way a chapter flows. Its easy to skim, but difficult to read.
Good case studies;
The connection with the web is a little over-emphasized and sometimes unclear. I'd prefer a dense read, with some concise messages.
This is a good course text, not a favorite though.
Purpose of the book: separate you from your money???.......2005-09-21
As far as I can tell the prupose of this book is to separate you from a great deal of your money!
It has a great deal to say about nothing. There is very little substantive detail on anything! Which, given it's size, really is quite amazing! This book will not teach you how to concretely implement any decision support system. It waffles on at a very distant level about such systems but never gets down in the trenches, if you know what I mean. It's basically why (though only just) rather than how! And for me, that makes this book a very pricey door jam.
Seriously, I was really underwhelmed and disappointed by the book. I ended up buying Statistics, Data Analysis and Decision Modeling by Evens and Olson (isbn: 0130783838) to find the information and practice that I need (decision modeling rather than decision support systems per se). It also comes with phstat software which is a VERY useful excel statistical add-in.
For example, from this book, p681-685 is genetic algorithms -> in 5 Pages!!!!! with nothing substantive about recombination, crossover, mutation, fitness or anythign like that (the terms are mentioned but not explained)...all it does is refer you sompleace else! Fuzzy logic gets 4 pages...with no implementation details. That is seriously ordinary!
So I suggest you save your money and look at something else. SOmehow I don't see this book giving anybody too much joy. It amazes me it has lasted through 7 edition. If the 7th is this bad...I'd hate to see the first edition!!! So, as I said before, more a book about why and where to go to get knowledge of how to do rather than giving you the know-how. SO look for a book on how! This is a book for discovering that terms like knowledge discovery in databases (KDD) actually exist...and maybe what it means (like say webopedia) but certainly not how to do it...
Excellent reference, thick college text.......2005-02-07
This is a textbook appropriate for a college-level course at the upper division or graduate level. It gives very thorough coverage of the entire field in one book, and most students really like the book in satisfaction questionnaires, but some feel overwhelmed until after the material is covered in class. I focus on specific chapters or sections of chapters for a single-semester course.
It is an excellent reference for key elements of DSS and related systems. I've followed it through several editions, and when new chapters are introduced, they may be verbose--but they are more focused in later editions. The authors do a good job of describing how computer-based systems support structured, semi-structured, and unstructured decisions and the design, intelligence, and choice framework. The book also has several good general chapters that provide an overview and describe different types of decision support systems. It includes sections on object-oriented systems and knowledge management (KM) systems. It is pretty theoretical and covers a lot of material, yet it's my favorite text for its purpose.
throw it into the trash.......2004-07-19
Used it for school, found it dry, boring, ugly. I got frustrated every time I picked up the book. Really want to throw it into the trash if not for the resell value.
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Intelligent Decision-making Support Systems: Foundations, Applications and Challenges (Decision Engineering)
Manufacturer: Springer
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ASIN: 1846282284 |
Book Description
Decision-making Support Systems (DMSS) are computer-based systems that support individual or organisational decision-making processes. Recent advances in information technology and artificial intelligence are enhancing these systems and giving rise to intelligent-DMSS.
Intelligent Decision-making Support Systems: Foundations, Applications and Challenges is the first book to provide integrated coverage of the technical aspects of intelligent Decision-Making Support Systems together with discussion of their application and evaluation in organisational structures.
The book brings together up-to-date information on the theory and application of i-DMSS. Readers will learn about the foundations, architectures, methods and strategies for successfully designing, developing, implementing, and evaluating intelligent Decision-making Support Systems.
Intelligent Decision-making Support Systems: Foundations, Applications and Challenges will be of value to researchers in AI and management studies interested in the latest thinking in decision-making, as well practising managers and consultants who are involved with putting advanced information technologies into practice in organisations.
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Autonomous Vehicles in Support of Naval Operations
Committee on Autonomous Vehicles in Support of Naval Operations , and
National Research Council
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Intelligent Information Systems: Meeting the Challenge of the Knowledge Era
Alan J. Rowe , and
Sue Anne Davis
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Product Management (Mcgraw-Hill/Irwin Series in Marketing)
ASIN: 0899309127 |
Book Description
This book closes the gap between information technologies and management decision making. It treats currently relevant topics in information technology--knowledge-based expert systems, graphic-user interface, fuzzy logic, neural networks, data storage, client server, and integration of heterogeneous databases--by using examples and, more importantly, by relating these methods to the needs of the decision maker by taking into account the individual's decision style. The authors provide a solid basis for determining how decision makers use and access information that becomes part of the design of information systems. Integrating the decision maker into the design results in a more "intelligent information system" because the focus is on the outcome rather than on the methodology or computer power used.
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Fuzzy Reasoning in Information, Decision and Control Systems (Intelligent Systems, Control and Automation: Science and Engineering)
Manufacturer: Springer
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ASIN: 0792326431 |
Book Description
This book is devoted to the study of fuzzy reasoning as applied to decision making and control processes. It contains a collection of important contributions covering a wide well-selected range of topics within the field.
The book contains twenty-one papers, written by thirty-four distinguished contributors and is divided into five parts.
Part 1 involves four chapters providing background material together with useful techniques for the validation of fuzzy knowledge bases and the software representation of fuzzy sets and fuzzy logic.
Part 2 presents an overview of neuro-fuzzy expert systems along with an important case study, and a neural network model which is suitable for fuzzy reasoning.
Part 3 presents the state of art of fuzzy controllers, including design and implementation aspects. This part starts with a chapter on the demystification of fuzzy control and includes critical evaluations of fuzzy controllers, along with new types of fuzzy controllers such as the sliding mode fuzzy controller.
Part 4 involves a chapter on fuzzy parameter and state estimation, which is of fundamental importance in a variety of applications, a chapter on fuzzy reasoning as used in rule-based systems, and a chapter on computing the multivariable shape of an n-D pattern class. Finally,
Part 5 presents six important applications dealing with industrial robotic systems, mechanical systems, manipulators with artificial rubber muscles, Petri nets, biomedical engineering, and nondestructive fruit collection.
The book is suitable for the researcher and practitioner, as well as for the teacher and student in related Master and Doctoral courses.
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Generic Intelligent Driver Support
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ASIN: 0748400699 |
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Intelligent Strategies for Meta Multiple Criteria Decision Making (International Series in Operations Research and Management Science, Volume 33) (International ... in Operations Research & Management Science)
Thomas Hanne
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ASIN: 0792372514 |
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Multiple criteria decision-making research has developed rapidly and has become a main area of research for dealing with complex decision problems which require the consideration of multiple objectives or criteria. Over the past twenty years, numerous multiple criterion decision methods have been developed which are able to solve such problems. However, the selection of an appropriate method to solve a particular decision problem is today's problem for a decision support researcher and decision-maker.
Intelligent Strategies for Meta Multiple Criteria Decision-Making deals centrally with the problem of the numerous MCDM methods that can be applied to a decision problem. The book refers to this as a `meta decision problem', and it is this problem that the book analyzes. The author provides two strategies to help the decision-makers select and design an appropriate approach to a complex decision problem. Either of these strategies can be designed into a decision support system itself. One strategy is to use machine learning to design an MCDM method. This is accomplished by applying intelligent techniques, namely neural networks as a structure for approximating functions and evolutionary algorithms as universal learning methods. The other strategy is based on solving the meta decision problem interactively by selecting or designing a method suitable to the specific problem, for example, the constructing of a method from building blocks. This strategy leads to a concept of MCDM networks. Examples of this approach for a decision support system explain the possibilities of applying the elaborated techniques and their mutual interplay. The techniques outlined in the book can be used by researchers, students, and industry practitioners to better model and select appropriate methods for solving complex, multi-objective decision problems.
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Intelligent Support Systems Technology
Manufacturer: IRM Press
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ASIN: 1931777004 |
Book Description
The area of intelligent support systems has experienced increasing interest in developing intelligent systems that would enable users to accomplish complex tasks in a web-centric environment utilizing intelligent agents, distributed computing in heterogeneous environments, and computer-supported collaborative work. With the sharing of experiences and lessons learned in deploying intelligent support systems, this guide presents an interdisciplinary approach to the computer arena. Among some of the topics addressed are intelligent information systems, adaptive systems, scientific discovery systems, knowledge-based systems, and genetic and evolutionary algorithms.
Download Description
While the area of Intelligent Support Systems has experienced significant progress in the recent past, the advent of Internet and World Wide Web has sparked a renewed interest in this area. There is a growing interest in developing intelligent systems that would enable users to accomplish complex tasks in a Web-centric environment with relative ease in utilizing such technologies as intelligent agents, distributed computing, and computer supported collaborative work. The purpose of this book is to bring together researchers in related fields such as information systems, distributed artificial intelligence (AI), intelligent agents, machine learning, collaborative work, to explore various aspects of IIS design and implementation, as well as to share experiences and lessons learned in deploying intelligent support systems.
Customer Reviews:
Quality info about intelligent agents for info technology.......2002-04-19
You have to read chapter 9 its simply world class! It would be enough to make William Shakespeare smile.
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Intelligent Systems and Signal Processing in Power Engineering (Power Systems)
Abhisek Ukil
Manufacturer: Springer
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ASIN: 3540731695 |
Book Description
Power engineering has become a multidisciplinary field ranging from linear algebra, electronics, signal processing to artificial intelligence including recent trends like bio-inspired computation, lateral computing and so on. In this book, Ukil builds the bridge between these inter-disciplinary power engineering practices. The book looks into two major fields used in modern power systems: intelligent systems and the signal processing.
The intelligent systems section comprises of fuzzy logic, neural network and support vector machine. The author looks at relevant theories on the topics without assuming much particular background. Following the theoretical basics, he studies their applications in various problems in power engineering, like, load forecasting, phase balancing, or disturbance analysis. These application studies are of two types: full application studies explained like in-depth case-studies, and semi-developed application ideas with scope for further extension. This is followed by pointers to further research information.
In the second part, the book leads into the signal processing from the basics of the system theory, followed by fundamentals of different signal processing transforms with examples. A section follows about the sampling technique and the digital filters which are the ultimate processing tools. The theoretical basics are substantiated by some of the applications in power engineering, both in-depth and semi-developed as before. This also ends up with pointers to further research information.
“Intelligent Systems and Signal Processing in Power Engineering” is helpful for students, researchers and engineers, trying to solve power engineering problems using intelligent systems and signal processing, or seeking applications of intelligent systems and signal processing in power engineering.
Book Description
This digital document is a journal article from Decision Support Systems, published by Elsevier in 2006. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.
Description:
Consensus forming is a critical process in the present day computer assisted group decision-making (GDM) scenario. Most of the GDM problems are of strategic dimensions and get complicated due to their multi-criteria framework involving many subjective and quantitative factors. In this research, a technology selection problem has been considered for a manufacturing company. The problem has been modeled into a multi-person, multi-criteria and multi-preference scenario. Various preference modes have been transformed into Fuzzy Preference Relations. A soft consensus based group decision-making under linguistic assessments has been adopted here to eliminate the role of a moderator. To incorporate the offline/online characteristics in the re-evaluation phase of the discussion, a multi-agent system (MAS) based negotiation model is proposed to resolve a technology selection problem.
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