2nd Edition

Design Science Research Methods and Patterns
Innovating Information and Communication Technology, 2nd Edition

ISBN 9781498715256
Published May 6, 2015 by CRC Press
415 Pages 27 B/W Illustrations

USD $115.00

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Book Description

Presenting innovative research methods, this second edition of a bestseller describes a simple and practical methodology for conducting cutting-edge design science research (DSR). It provides comprehensive guidance on how to conduct such research and supplies in-depth treatment of design science theory and the different types of theory that can be generated in design science research.

Making novel use of the concept of patterns, it presents 84 research patterns for conducting effective DSR. It emphasizes design science theory throughout and is filled with practical examples of using patterns to conduct information and communication technology research (ICT).

With a focus on reusing research activities to increase the effectiveness and efficiency of conducting design science research, the book relies on familiar patterns to provide the fundamentals of various research philosophies and techniques required to innovate ICT. It describes design science research in relation to other information systems research paradigms such as positivist and interpretivist research. New to this edition are relevant design science research patterns adapted from TRIZ, the widely regarded European engineering design and creativity method.

This edition also provides greatly expanded treatment of theory building in design science research (DSR), a topic of rapidly growing interest in addition to a new chapter presenting a framework for theory development in DSR. The book provides an expanded examination of patterns in DSR presented using a new pattern classification mechanism to group patterns with like functionality.

This book will be of value to those interested in learning to conduct design science research, particularly in the ICT disciplines the book focuses on.

Table of Contents



Introduction to Design Science Research in Information and Communication Technology
Overview of Design Science Research
DSR Methodology
Outputs of DSR
Theory in DSR
General Guidance on Expected Outputs from DSR
Example of Community-Determined Outputs
Philosophical Grounding of DSR
An Example of ICT DSR
Appendix: A Design Science Research Bibliography

Aggregate Design Science Research Cycle as a Perspective on the Evolution of Computing Communities of Interest
Design Science Research Cycle
Aggregate DSRC
Exercising the ADSRC Framework: Concept Mapping 25 Years of Database Research
Using the ADSRC to Explain Coordination between Diverse Groups

A Framework for Theory Development in Design Science Research: Multiple Perspectives
Design Science Research in IS (DSR-IS) Defined
Knowledge Representation Perspective on the Framework
Extending Knowledge Capture in DSR-IS: Alternative Approaches
Structure of the Remainder of the Chapter
Mid-Range Theory in DSR-IS
Typological Perspective of the Framework
Epistemological Perspective of the Framework
Theory Construction in DSR-IS: Two Published Examples
Discussion and Conclusions
Kernel Theory and DREPT Propositions for a DSR Project
Kaufmann’s Diagrammatic Representation of the Change in Modes of Mental Representation with Problem Novelty and Kasper’s
Interpretation of Kaufmann’s Diagram in Terms of DSS Attributes
Theory Building Techniques in Design Science Research

On Theory Development in Design Science Research: Anatomy of a Research Project
Theory in DSR-IS: What Does It Mean?
A Process Change Scenario Illustrating "Soft Context Information" (A True Story)
System Quality Representation
Sample Process Graph "Slices" and Associated Text
Description and Micro-rationale as used in our Evaluation Prototype


Using Patterns to Illuminate Research Practice
Patterns, Then, and Now
Using Patterns: The Design Science Research Cycle Revisited
Mining of Design Science Research Patterns
Problem-Solving Patterns in Engineering: The TRIZ Approach
Pattern Structure
Pattern Usage in the Development of the Smart Object Paradigm Practice, Practice, Practice
Appendix: The TRIZ Inventive Principles

Creativity Patterns
Enhancement Type Patterns
Utilization Type Patterns

Problem Selection and Development Patterns
Preliminaries Type Patterns
Visionary Type Pattern
Extrapolation Type Pattern
Analysis Type Patterns
Generalization Type Pattern
Exploration Type Pattern
Segmentation Type Pattern
Combination Type Pattern

Literature Search Patterns
Preliminaries Type Patterns
Analysis Type Pattern
Modeling Type Pattern

Suggestion and Development Patterns
Theory Type Patterns
Expanding Design Theories (DTs) with Design and Measurement Models
Hermeneutical/Inductive (H/I) Approach
Hypothetical/Deductive (H/D) Approach
Iterative Prototyping
Preliminaries Type Patterns
Visionary Type Patterns
Extrapolation Type Pattern
Analysis Type Patterns
Exploration Type Patterns
Modeling Type Patterns
Generalization Type Patterns
Segmentation Type Patterns
Combination Type Patterns
Development Type Patterns
Collaboration Type Patterns

Evaluation and Validation Patterns
Logical Reasoning
Mathematical Proofs
Using Metrics

Publishing Patterns
MAligning with a Paradigm
Conference and Journal Submissions
Novelty and Significance
MStyle Exemplars
Use of Examples
Writing Conference Papers
Writing Journal Papers


Knowledge Contribution and Patterns Usage Analysis of Design Science Research Exemplars
Smart Objects: A Data/Knowledge Paradigm for the Modeling and
Design of Operations Support Systems
CyberGate: A Design Framework and System for Text Analysis of Computer‑Mediated Communication
World Wide Web: Proposal for Hypertext Project.
Entity-Relationship Model—Toward a Unified View of Data
Case-Based Database Design Support System
Relational Model of Data for Large Shared Data Banks
Automating the Discovery of AS-IS Business Process Models: Probabilistic and Algorithmic Approaches
Working Set Model for Program Behavior
Communicating Sequential Processes
Multilevel Model for Measuring Fit between a Firm’s Competitive Strategies and ISs Capabilities
Improving Analysis Pattern Reuse in Conceptual Design: Augmenting
Automated Processes with Supervised Learning
Optimum Multiway Search Trees

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Vijay K. Vaishnavi is professor emeritus of computer information systems at Georgia State University. He holds a PhD from Indian Institute of Technology, Kanpur and has conducted postdoctoral work at McMaster University, Canada. His research covers several areas including design science research methods, information integration and web mining, software development, and data structures/algorithms.

He has authored 150+ publications that include six books in these and related areas. His research has been funded by the National Science Foundation (NSF) as well as by the industry. He has served as consultant to various organizations such as IBM, AT&T, and Bell Northern Research. In 2007, he was awarded a Lifetime Achievement Award in Design Sciences (DESRIST 2007) for "making significant fundamental contributions in design science research through research, leadership, and mentorship."

Bill Kuechler is a professor of information systems and former chair of the information systems discipline at the University of Nevada, Reno. He holds a BS in electrical engineering from Drexel University and a Ph.D. in computer information systems from Georgia State University. Bill’s academic career follows a successful 22-year industry career in information systems development and consulting. He has held positions as software engineer, software engineering manager, software systems product manager, consultant, and director of IT for a regional firm. His work experience brings insight to his teaching of both IS management and technical material and brings a wealth of practical background to his research. Bill’s two primary research themes are the cognitive bases of IS use, development and education, and design science research in IS. Dr. Kuechler is a member of AIS and ACM.


This new edition is not only a refreshed version of the previous edition, but has also been expanded to help bring us onto the current frontiers of design science research. As researchers, the authors are ever mindful of their goals toward not just science, but also improvement. True to their noble direction, they have put this thought into this second edition. The first edition was groundbreaking; nevertheless they have still managed to make this second edition a grand improvement.
—Richard Baskerville, Board of Advisors Professor, Department of Computer Information Systems, J. Mack Robinson College of Business, Georgia State University