Optimal Information Modeling Techniques

Optimal Information Modeling Techniques

Kees van Slooten (University of Twente, Netherlands)
Release Date: July, 2001|Copyright: © 2002 |Pages: 306
DOI: 10.4018/978-1-93177-709-4
ISBN13: 9781931777094|ISBN10: 1931777098|EISBN13: 9781931777308
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Description & Coverage
Description:

Despite the rapid advance of technology in the last few decades, accurate, on-time and on-budget completion of information systems development projects is still a vision rather than a reality. Despite the rapid advance of technology in the last few decades, accurate, on-time and on-budget completion of information systems development projects is still a vision rather than a reality. An optimal information modeling technique may be defined as an information modeling technique that is most appropriate to be applied in a specific situation indicated by certain contingency factors. Optimal Information Modeling Techniques examines these methods and provides the most recent research in the field, to be applied to the management applications of modern organizations.

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Editor Biographies
Kees van Slooten is a member of the faculty of Technology and Management, Department of Business Information Systems, at the University of Twente. He has a PhD from the University of Twente and an MSC in Information Science and Mathematics. Before joining the university he was active in systems analysis, design, programming, and consultancy. He is currently supervising PhD projects in the areas of situation-specific business modeling aiming at implementing enterprise-wide information systems and e-commerce applications.
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