Design Science Research Methods and Patterns: Innovating Information and Communication Technology

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CRC Press, Oct 30, 2007 - Computers - 248 pages
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Design research promotes understanding of advanced, cutting-edge information systems through the construction and evaluation of these systems and their components. Since this method of research can produce rigorous, meaningful results in the absence of a strong theory base, it excels in investigating new and even speculative technologies, offering the potential to advance accepted practice.

Design Science Research Methods and Patterns presents innovative research methods that help break new ground by applying patterns, reuse, and design science to research. The book relies on familiar patterns to provide the solid fundamentals of various research philosophies and techniques as touchstones that demonstrate how to innovate research methods. Filled with practical examples of applying patterns to IT research with an emphasis on reusing research activities to save time and money, this book describes design science research in relation to other information systems research paradigms such as positivist and interpretivist research.
 

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Contents

Chapter 1 Introduction
1
Chapter 2 Introduction to Design Science Research in Information and Communication Technology
7
Chapter 3 The Aggregate General Design Cycle as a Perspective on the Evolution of Computing Communities of Interest
31
A Design Science Research Proposal
41
Chapter 5 Using Patterns to Illuminate Research Practice
57
Chapter 6 Creativity Patterns
75
Chapter 7 Problem Selection and Development Patterns
83
Chapter 8 Literature Search Patterns
111
Chapter 9 Suggestion and Development Patterns
119
Chapter 10 Evaluation and Validation Patterns
159
Chapter 11 Publishing Patterns
173
Chapter 12 Pattern Analysis of Design Science Research Exemplars
187
Index
219
Back cover
227
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Page xv - Ozsoyoglu has published in all of the major database conferences and journals such as ACM Transactions on Database Systems, IEEE Transactions on Software Engineering. IEEE Transactions on Knowledge and Data Engineering, and Journal of Computer and System Sciences.

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