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Intelligent Information Systems: Meeting the Challenge of the Knowledge Era
 
 
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Intelligent Information Systems: Meeting the Challenge of the Knowledge Era (Hardcover)

by Alan J. Rowe (Author), Sue Anne Davis (Author) "There is no future for those who live in the past..." (more)
Key Phrases: intelligent information system, heuristic decision rules, adding intelligence, New York, Business Week, Harvard Business Review (more...)
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Editorial Reviews

Review
“Rowe and Davis have written an excellent book designed to bring together the multifaceted dimensions of information systems. They survey a variety of information systems, as well as introduce various types of individual learning and decision-making styles.... The book's emphasis on the critical importance of human factors in the design of information systems will serve any student or practitioner well in the pursuit of designing systems that actually meet the needs of decision makers. Information systems that support knowledge-based paradigm shifts are critical to their effective use in organizations, and this work provides a good overview of this important topic. Highly recommended for upper-division undergraduate or masters level students of management information systems as well as for professionals.”–Choice

Product 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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