Decision Support Models and Expert Systems

Business & Money

Olson, David L.

Courtney, James F.

Management & Leadership

Macmillan Pub. Co.

This text is a project management text that focuses on "high technology." The text is brief and has more applied vs. theoretical coverage. The text will focus on traditional project management topics, i.e., project adoption, planning, scheduling, and implementation, however, Olson will look at these topics from an IS or software perspective.

Introduction to Information Systems Project Management with CD-Rom Mandatory Package

McGraw/Hill/Irwin

Olson's Introduction to Project Management, 2/e is a project management text that focuses on "systems" issues. The primary focus is to examine the many issues facing MIS project managers. The revision also now incorporates the Project Management Institute's Body of Knowledge (PMBOK), better preparing users for the PMI certification exam. Olson focuses on traditional project management topics such as project adoption, planning, scheduling, and implementation while encouraging students to view the projects holistically and analytically. Utilizing the most current software and project management tools, he provides students with the most effective strategies for today's IT project managers.

Introduction to Information Systems Project Management

Olson,David

Computers & Technology

Introduction to Business Data Mining was developed to introduce students, as opposed to professional practitioners or engineering students, to the fundamental concepts of data mining. Most importantly, this text shows readers how to gather and analyze large sets of data to gain useful business understanding. A four part organization introduces the material (Part I), describes and demonstrated basic data mining algorithms (Part II), focuses on the business applications of data mining (Part III), and presents an overview of the developing areas in this field, including web mining, text mining, and the ethical aspects of data mining. (Part IV). The author team has had extensive experience with the quantitative analysis of business as well as with data mining analysis. They have both taught this material and used their own graduate students to prepare the text’s data mining reports. Using real-world vignettes and their extensive knowledge of this new subject, David Olson and Yong Shi have created a text that demonstrates data mining processes and techniques needed for business applications.

Introduction To Business Data Mining

Shi, Yong

Irwin Professional_Pub

Soundly structured and highly practical, this informative guide introduces users to the concepts, methodologies, and applications of simulation in business, using easy-to-apply Microsoft Excel spreadsheets as the principal means to illustrate simulation modeling concepts, computational issues, and analysis of results. Uses spreadsheets throughout to convey quantitative methodologies in a language readers can most easily understand, and allows them to address the elementary concepts of both risk analysis and systems simulation approaches in a common framework. Fully covers all basic concepts of simulation (i.e., the nature of simulation models, systems (time/event driven) simulation, techniques for implementing simple simulation models on Excel spreadsheets, statistical concepts and methods important in simulation analysis, and more. Offers an in-depth study of risk analysis using the Excel add-in Crystal Ball as a practical method for Monte Carlo simulation. Presents a detailed analysis of systems simulation including discussions on the fundamentals of simulating inventory and queueing systems and event-driven simulation. Provides SkillBuilder exercises for practicing and developing spreadsheet and software applications skills, as well as Simulation in Practice cases and numerous examples and illustrations of simulation models throughout. For business administrators, industrial engineers, and related professionals who want to learn about simulation and risk analysis.

Introduction to Simulation and Risk Analysis (2nd Edition)

EVANS, JAMES R.

PRENTICE/HALL

The purpose of this text is to provide the student with a comprehensive coverage of how management science concepts and approaches can be applied to improve management decision-making. The emphasis is on the translation of mathematical modeling concepts into a presentation that is palatable to the undergraduate student of business with limited mathematical background. Manage¬ment science topics are introduced by presenting realistic, practical examples in the form of small case studies. Difficult techniques are presented within the framework of working examples, stressing an intuitive understanding of concepts in the decision support perspective rather than focusing on mathematical techniques for their own sake.

Introduction to Management Science, 3e

Lee, Sang M.

Cengage Learning'

One of the most important tasks faced by decision-makers in business and government is that of selection. Selection problems are challenging in that they require the balancing of multiple, often conflicting, criteria. In recent years, a number of interesting decision aids have become available to assist in such decisions. The aim of this book is to provide a comparative survey of many of the decision aids currently available. The first chapters present general ideas which underpin the methodologies used to design these aids. Subsequent chapters then focus on specific decision aids and demonstrate some of the software which implement these ideas. A final chapter provides a comparative analysis of their strengths and weaknesses.

Decision Aids for Selection Problems (Springer Series in Operations Research and Financial Engineering)

Economics

Springer

Suitable for advanced undergraduates and graduate students, this text introduces the concepts, methods, and business applications of simulations. Spreadsheets are the principal means of illustrating simulation modeling concepts, computational issues, and analysis of results, providing a foundation for working with more powerful software. The text is accompanied by a supplementary CD-ROM. 1998 edition.

Introduction to Simulation and Risk Analysis, Second Edition

Dover Publications

Convergenomics is about the megatrends that are shaping how people behave and organizations work. In this insightful analysis, Sang Lee and David Olson describe how globalization, digitization, changing demographics, changing industry mix, deregulation and privatization, commoditization of processes, new value chains, emerging new economies, deteriorating environment, and cultural conflicts have led to what they define as a convergence revolution. Lee and Olson discuss this convergence revolution from the perspectives of technology, industry, knowledge, open-source networking and bio-artificial convergence, and they explain how human systems are transformed by what they have named convergenomics. Understanding convergenomics can lead to innovative strategic approaches and, the authors contend, more agile businesses are already employing these approaches to become and remain competitive and to generate greater value in a world radically changed by e-commerce. Business leaders and 'students' of strategy at all levels will learn from this book how revolutionary developments can be embraced rather than feared, and how technology that is potentially frightening in its complexity can be harnessed and used to enable productive collaboration and gain competitive advantage.

Convergenomics: Strategic Innovation in the Convergence Era (Gower Applied Research)

Reference

Routledge

This text's emphasis is on presenting management science in a manner that is managerially focused and easily understood by students. This is done in part by using easy-to-understand examples demonstrating each technique in understandable contexts. The text is application oriented dealing with realistic problems emphasizing model formulation, computer-based solutions, and implementation of model results. The text uses models related to managerial application, which are used to demonstrate management science techniques. Techniques are illustrated by examples placed in a decision-making context. Model use is demonstrated by the computer without being tied to specific computer systems. The text presents a comprehensive yet easily readable coverage of all important management science techniques.

Introduction to Management Science

Dame Publishing

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